Scientific Method And Investigation

Study revision notes for Scientific Method And Investigation

Scientific Method and Investigation Study Pack

1. Introduction / Essential Question

Essential Question

How do scientists design fair investigations, use evidence, and explain what they discover about the natural world?

Introduction / Hook

Imagine you buy two different brands of paper towels. One commercial says its paper towel is "the strongest." Another says its towel "absorbs the most water." How could you find out which claim is better supported by evidence?

You could:

  • make careful observations
  • ask a testable question
  • write a hypothesis
  • identify variables
  • design a fair test
  • collect measurements
  • look for patterns in the data
  • use evidence to make a scientific explanation

That process is part of scientific investigation. Scientists do not just guess or believe something because it sounds reasonable. They test ideas using observations, measurements, models, and evidence.

Scientific investigations are not always a simple list of steps. Scientists may ask new questions, repeat tests, redesign procedures, or compare their results with other scientists. The goal is to understand systems in the natural and designed world using reliable evidence.

What You Will Learn

By the end of this study pack, you should be able to:

  • explain what a hypothesis is
  • identify independent, dependent, and controlled variables
  • describe how evidence supports or challenges a claim
  • design a fair investigation
  • read data tables and graphs
  • explain patterns in results
  • identify possible errors and improvements in experiments
  • use Claim-Evidence-Reasoning to write a scientific explanation

2. Key Vocabulary / Definitions

Term Student-Friendly Definition Example
Scientific investigation A planned way to answer a scientific question using observations, tests, data, and evidence Testing which fertilizer helps bean plants grow tallest
Observation Information gathered using senses or tools The liquid turned cloudy after mixing
Inference A logical explanation based on observations and prior knowledge The metal may be iron because it sticks to a magnet
Question Something scientists ask that can lead to investigation Does light color affect plant growth?
Testable question A question that can be answered using evidence from an investigation How does water temperature affect how fast sugar dissolves?
Hypothesis A possible answer to a scientific question that can be tested If water is warmer, then sugar will dissolve faster
Prediction A statement about what you expect will happen The sugar in hot water will dissolve in less time
Variable Any factor that can change in an investigation Temperature, time, amount of water
Independent variable The variable the investigator changes on purpose The temperature of the water
Dependent variable The variable the investigator measures or observes The time it takes sugar to dissolve
Controlled variable A factor kept the same to make the test fair Same amount of sugar and same amount of water
Control group A comparison group that does not receive the changed condition Plants given plain water compared with plants given fertilizer
Experimental group The group that receives the changed condition Plants given fertilizer
Procedure The step-by-step plan for an investigation Measure 100 mL water, heat it, add sugar, time dissolving
Data Information collected during an investigation Plant height measurements over 10 days
Quantitative data Data using numbers and units 12 cm, 25 seconds, 50 mL
Qualitative data Descriptive data using words or categories Smooth, cloudy, blue-green, strong smell
Evidence Data or observations used to support a claim The plant with more light grew 5 cm taller
Claim A statement that answers a scientific question More sunlight increased plant growth
Reasoning The scientific explanation that connects evidence to a claim Plants use light energy to make food during photosynthesis
Trial One repeated test in an investigation Testing the paper towel three separate times
Repeatability The ability to get similar results when an investigation is repeated Three trials all show similar dissolving times
Reliability How trustworthy results are based on careful methods and repeated evidence A result is more reliable after multiple trials
Accuracy How close a measurement is to the true or accepted value A thermometer reading close to the real temperature
Precision How close repeated measurements are to each other Three mass readings: 10.1 g, 10.1 g, 10.2 g
Model A representation used to understand or explain something A diagram of the water cycle
System A group of interacting parts that work together A terrarium with soil, plants, water, air, and insects
Matter Anything that has mass and takes up space Water, air, soil, and sugar
Energy The ability to cause change or do work Light energy helping plants grow
Fair test An investigation where only one main variable is changed at a time Changing only water temperature while keeping sugar amount the same
Bias A preference or expectation that can affect how results are collected or interpreted Expecting one brand to work better and recording results carelessly
Conclusion A final explanation based on evidence from an investigation The paper towel absorbed the most water in all three trials

3. Core Science Concepts

3.1 Science Begins With Questions

Science is a way of learning about the natural world. Scientists often begin by noticing something interesting.

Examples:

  • Why does ice melt faster on metal than on wood?
  • Why do some plants grow better near windows?
  • Why does a ball roll farther on a smooth floor than on carpet?
  • Why does salt disappear when stirred into water?

A strong scientific question is testable. That means you can collect evidence to help answer it.

Weak question:

  • Which plant is the best?

Stronger scientific question:

  • How does the amount of daily sunlight affect the height of bean plants over two weeks?

The stronger question identifies something that can be changed and something that can be measured.

3.2 Observations and Inferences

An observation is information you gather directly. You might use your senses, but scientists often use tools to make observations more exact.

Observation examples:

  • The solution is clear.
  • The plant is 18 cm tall.
  • The temperature is 22 degrees Celsius.
  • The balloon expanded after the bottle was placed in warm water.

An inference is an explanation based on observations and what you already know.

Observation:

  • Water droplets are on the outside of a cold glass.

Inference:

  • Water vapor in the air cooled and condensed on the glass.

Observations are not the same as opinions. "The rock is beautiful" is an opinion. "The rock has black, white, and gray crystals" is an observation.

3.3 Hypotheses and Predictions

A hypothesis is a possible answer to a scientific question that can be tested. It should be based on prior knowledge or observations, not random guessing.

A useful hypothesis often follows this pattern:

If the independent variable changes, then the dependent variable will change in a certain way because of a scientific reason.

Example:

  • If the amount of sunlight increases, then bean plants will grow taller because plants use light energy to make food.

The prediction is what you expect to happen in the investigation.

Question:

  • How does water temperature affect how quickly sugar dissolves?

Hypothesis:

  • If water temperature increases, then sugar will dissolve faster because warmer water particles move more quickly and mix with sugar more often.

Prediction:

  • Sugar will dissolve fastest in hot water and slowest in cold water.

3.4 Variables

A variable is anything that can change in an investigation. Scientific investigations are stronger when variables are clearly identified.

Independent Variable

The independent variable is what the investigator changes on purpose.

Example:

  • The amount of fertilizer added to plants
  • The temperature of water
  • The type of surface a toy car rolls on

Dependent Variable

The dependent variable is what the investigator measures or observes.

Example:

  • Plant height
  • Time for sugar to dissolve
  • Distance a toy car travels

Controlled Variables

Controlled variables are factors kept the same so the investigation is fair.

Example:

If you test how water temperature affects sugar dissolving, controlled variables might include:

  • same amount of sugar
  • same amount of water
  • same cup size
  • same stirring method
  • same type of sugar

If too many things change at once, it becomes difficult to know what caused the result.

3.5 Fair Tests

A fair test changes one main variable at a time and keeps other important factors the same.

Suppose you want to know which paper towel absorbs the most water. A fair test would use:

  • same size paper towel pieces
  • same amount of water
  • same type of container
  • same soaking time
  • same method for measuring leftover water

An unfair test might compare a large piece of one towel with a small piece of another. The result would not clearly show which brand is more absorbent because towel size also changed.

3.6 Control Groups and Experimental Groups

In some investigations, scientists use a control group for comparison.

Example:

Question:

  • Does fertilizer affect plant growth?

Control group:

  • Plants given no fertilizer

Experimental group:

  • Plants given fertilizer

Both groups should be treated the same except for the fertilizer. This helps scientists decide whether fertilizer is linked to differences in plant growth.

Not every middle school investigation needs a control group, but many do need comparison conditions.

3.7 Data and Evidence

Data are the measurements or observations collected during an investigation. Evidence is data used to support a claim.

Data:

  • Plant A grew from 5 cm to 12 cm.
  • Plant B grew from 5 cm to 18 cm.

Evidence:

  • Plant B, which received more light, grew 6 cm taller than Plant A.

Data become evidence when you use them to answer a question.

Good scientific evidence should be:

  • relevant to the question
  • collected carefully
  • measured with appropriate tools
  • repeated when possible
  • recorded honestly

Scientists often look for patterns in data.

Patterns can show:

  • an increase
  • a decrease
  • no clear change
  • a repeated cycle
  • a difference between groups
  • an unexpected result

Graphs help make patterns easier to see. A line graph is useful for showing change over time. A bar graph is useful for comparing categories.

Example:

  • A line graph could show plant height each day.
  • A bar graph could compare average distance traveled on different surfaces.

3.9 Systems, Matter, and Energy in Investigations

A system is a group of parts that interact. Many investigations study systems.

Examples of systems:

  • a plant growing in soil
  • a cup of water with dissolving sugar
  • a toy car rolling down a ramp
  • a classroom terrarium

Matter is the stuff in a system. It has mass and takes up space.

Energy is involved when changes happen. For example:

  • light energy helps plants make food
  • thermal energy affects how fast particles move
  • motion energy changes when a car rolls down a ramp

When designing investigations, scientists ask:

  • What parts are in the system?
  • What matter enters or leaves the system?
  • What energy enters, leaves, or changes form?
  • What can we measure?

3.10 Claim-Evidence-Reasoning

Claim-Evidence-Reasoning, or CER, is a way to write a scientific explanation.

Part What It Means Example
Claim Your answer to the question Warmer water makes sugar dissolve faster
Evidence Data that supports the claim Sugar dissolved in 20 seconds in hot water, 45 seconds in room-temperature water, and 90 seconds in cold water
Reasoning Scientific idea that explains why the evidence supports the claim Warmer water particles move faster, so they interact with sugar particles more often

CER helps students move beyond "I think" and toward "The evidence shows."


4. Examples, Case Studies, and Real-World Applications

Example 1: Testing Paper Towel Absorbency

Question:

  • Which paper towel brand absorbs the most water?

Hypothesis:

  • If Brand B has thicker material, then it will absorb more water because there may be more space in the fibers to hold water.

Variables:

  • Independent variable: paper towel brand
  • Dependent variable: amount of water absorbed
  • Controlled variables: towel size, amount of water, soaking time, container, measuring method

Evidence:

  • If Brand B absorbs more water in repeated trials, the evidence may support the hypothesis.

Possible improvement:

  • Run at least three trials for each brand and calculate the average.

Example 2: Plant Growth and Light

Question:

  • How does light exposure affect radish seedling height?

Investigation:

  • Place one group of seedlings under a grow light for 12 hours per day.
  • Place another group in dim light for 12 hours per day.
  • Keep water, soil, seed type, container, and temperature the same.

Possible result:

  • Seedlings under the grow light may grow taller and greener.

Scientific reasoning:

  • Plants need light energy for photosynthesis. Without enough light, seedlings may become pale or weak.

Example 3: Dissolving Sugar in Water

Question:

  • How does water temperature affect the time it takes sugar to dissolve?

System:

  • water, sugar, cup, spoon, surrounding air

Matter:

  • sugar and water particles

Energy:

  • thermal energy in the water

Prediction:

  • Sugar will dissolve faster in warm water.

Scientific reasoning:

  • Warmer particles move faster, so water particles interact with sugar particles more often.

Case Study: Designing Safer Bike Helmets

Engineers use scientific investigations to design and improve products. A helmet company wants to test which padding material best reduces impact force.

Question:

  • Which padding material reduces the force of impact the most?

Investigation:

  • Drop a model helmet from the same height onto a force sensor.
  • Test foam, gel, and air-cell padding.
  • Repeat each test three times.

Variables:

  • Independent variable: padding material
  • Dependent variable: impact force measured by the sensor
  • Controlled variables: drop height, helmet shell, mass, sensor, room conditions

Why this matters:

  • Evidence from controlled tests can help engineers make safer helmets.

Real-World Applications

Scientific investigation is used in many areas:

  • Medicine: testing whether a treatment works and is safe
  • Environmental science: measuring water quality in rivers and lakes
  • Engineering: improving bridges, helmets, cars, and phones
  • Agriculture: comparing soil types, fertilizers, or watering methods
  • Weather science: collecting data to predict storms
  • Space science: using probes and telescopes to study planets
  • Sports science: testing shoe grip, ball design, and athlete performance

In every case, scientists and engineers need evidence before making strong claims.


5. Tables and Data

Data Table 1: Sugar Dissolving Investigation

Question:

  • How does water temperature affect the time it takes 5 grams of sugar to dissolve?

Controlled variables:

  • 100 mL of water
  • 5 g of sugar
  • same cup type
  • same stirring speed
  • same spoon
Water Temperature Trial 1 Time (s) Trial 2 Time (s) Trial 3 Time (s) Average Time (s)
Cold, 10°C 92 88 90 90
Room temperature, 22°C 48 45 42 45
Warm, 45°C 25 22 23 23
Hot, 70°C 15 16 14 15

What do you notice?

  • As temperature increases, average dissolving time decreases.
  • The hot water dissolved sugar fastest.
  • The cold water dissolved sugar slowest.

Possible claim:

  • Higher water temperature decreases the time needed for sugar to dissolve.

Data Table 2: Toy Car Surface Investigation

Question:

  • How does surface type affect the distance a toy car travels after rolling down a ramp?
Surface Type Trial 1 Distance (cm) Trial 2 Distance (cm) Trial 3 Distance (cm) Average Distance (cm)
Carpet 62 65 61 63
Cardboard 118 121 119 119
Tile 156 160 158 158
Sandpaper 44 47 45 45

Pattern:

  • The car traveled farthest on tile and shortest on sandpaper.

Scientific reasoning:

  • Rougher surfaces create more friction, which slows the car more quickly.

Data Table 3: Plant Growth Investigation

Question:

  • How does daily light exposure affect bean plant growth over 10 days?
Light Exposure Starting Height (cm) Day 5 Height (cm) Day 10 Height (cm) Total Growth (cm)
2 hours/day 4 6 8 4
6 hours/day 4 9 14 10
10 hours/day 4 11 18 14

Possible conclusion:

  • Bean plants grew more with more daily light exposure.

Possible caution:

  • This investigation should use several plants in each group, not just one, because individual plants can vary.

Graph Stimulus: Sugar Dissolving Time

Average Time for Sugar to Dissolve

Time (s)
100 | *
 90 | *
 80 |
 70 |
 60 |
 50 |        *
 40 |        *
 30 |                *
 20 |                *       *
 10 |                        *
  0 +--------------------------------
      Cold      Room      Warm    Hot
      10°C      22°C      45°C    70°C

Graph interpretation:

  • The graph shows a downward trend.
  • As water temperature increases, dissolving time decreases.
  • The independent variable is water temperature.
  • The dependent variable is dissolving time.

Comparison Grid: Investigation Quality

Feature Strong Investigation Weak Investigation
Question Testable and specific Too broad or opinion-based
Variables Clearly identified Several variables change at once
Procedure Detailed enough to repeat Missing steps or unclear directions
Data Uses measurements and repeated trials Uses vague descriptions only
Evidence Directly supports the claim Does not match the question
Conclusion Explains results using science ideas Gives an opinion without evidence

6. Text / ASCII Diagrams and Visual Aids

Scientific Diagram: Investigation Cycle

        Ask a Question
              |
              v
      Research / Observe
              |
              v
        Make a Hypothesis
              |
              v
        Plan a Fair Test
              |
              v
        Collect Data
              |
              v
       Analyze Patterns
              |
              v
      Make a Conclusion
              |
              v
    Ask New Questions / Revise

Science is often a cycle, not a straight line. New evidence can lead to new questions.

Experiment Setup: Dissolving Sugar

Investigation: Water temperature and dissolving time

  Cold Water        Room Temp Water       Warm Water         Hot Water
  10°C              22°C                  45°C               70°C
  ______            ______                ______             ______
 |      |          |      |              |      |           |      |
 | H2O  | + sugar  | H2O  | + sugar      | H2O  | + sugar   | H2O  | + sugar
 |______|          |______|              |______|           |______|

Keep the same:
- water amount
- sugar amount
- stirring speed
- cup size
- timing method

Flow Diagram: From Data to Evidence

Measurements collected
        |
        v
Organized in a data table
        |
        v
Patterns found in graph
        |
        v
Evidence selected
        |
        v
Claim supported or challenged
        |
        v
Scientific explanation written

Infographic: Variable Check

VARIABLE CHECK

What do I change on purpose?
    -> Independent variable

What do I measure?
    -> Dependent variable

What do I keep the same?
    -> Controlled variables

What do I compare against?
    -> Control group or comparison condition

How many times do I test?
    -> Multiple trials improve reliability

Scenario Card: Mystery Mold

Scenario Card

A student notices that bread left in a warm kitchen grows mold faster
than bread kept in a refrigerator.

Question:
Does temperature affect how quickly mold grows on bread?

Possible independent variable:
Temperature

Possible dependent variable:
Amount of mold growth after several days

Important controlled variables:
Bread type, bread size, moisture, container, light exposure,
time observed

Scientific Diagram: System Thinking

Bean Plant Investigation System

        Light energy
             |
             v
      +-------------+
      | Bean plant  |
      +-------------+
       ^     ^    |
       |     |    v
     Water  Soil  Growth measured in cm

Matter in system: plant, soil, water, air
Energy in system: light energy, thermal energy
Measured output: plant height over time

7. Common Misconceptions

Misconception 1: "A hypothesis is just a random guess."

Correct thinking:

  • A hypothesis is a testable explanation or possible answer based on observations or prior knowledge.
  • It should connect variables and include a scientific reason when possible.

Better example:

  • If the ramp height increases, then the car will travel farther because it will have more energy at the bottom of the ramp.

Misconception 2: "The hypothesis has to be correct."

Correct thinking:

  • A hypothesis does not have to be supported.
  • Scientists learn from results that support or do not support a hypothesis.
  • A result that challenges your hypothesis is not a failure if the investigation was done carefully.

Misconception 3: "Evidence and opinion are the same."

Correct thinking:

  • Evidence comes from observations, measurements, or reliable data.
  • Opinion is based on personal feelings or preferences.

Opinion:

  • This is the best paper towel.

Evidence:

  • Brand C absorbed an average of 42 mL of water, more than Brand A or Brand B.

Misconception 4: "Changing more variables makes an experiment better."

Correct thinking:

  • Changing too many variables makes it harder to know what caused the result.
  • A fair test usually changes one independent variable at a time.

Misconception 5: "One trial is enough."

Correct thinking:

  • One trial can be affected by mistakes or unusual results.
  • Repeating trials helps scientists see whether results are consistent.

Misconception 6: "A graph proves something automatically."

Correct thinking:

  • Graphs help show patterns, but scientists still need to think carefully.
  • They ask whether the data were collected fairly, whether enough trials were done, and whether other variables might explain the pattern.

Misconception 7: "The dependent variable is the one I change."

Correct thinking:

  • The independent variable is changed on purpose.
  • The dependent variable is measured because it may depend on the independent variable.

Memory tip:

  • Independent = I change it.
  • Dependent = Data I collect.

Misconception 8: "Control group and controlled variables mean the same thing."

Correct thinking:

  • Controlled variables are factors kept the same.
  • A control group is a comparison group used in some experiments.

Misconception 9: "Scientists always follow one exact method."

Correct thinking:

  • Scientific investigation includes common practices, but real science is flexible.
  • Scientists may use experiments, observations, models, field studies, simulations, or engineering tests.

Misconception 10: "If two things happen together, one must cause the other."

Correct thinking:

  • A pattern or relationship does not always prove cause and effect.
  • Scientists design controlled investigations to test possible causes.

Example:

  • Ice cream sales and sunburns may both increase in summer, but ice cream does not cause sunburn. Hot sunny weather affects both.

8. Science Thinking Tips

Tip 1: Use the Variable Sentence Frame

Try this:

  • I will change ______.
  • I will measure ______.
  • I will keep ______, ______, and ______ the same.

Example:

  • I will change the ramp height.
  • I will measure the distance the car travels.
  • I will keep the car, ramp surface, starting point, and floor surface the same.

Tip 2: Write Strong Hypotheses

A strong hypothesis connects a change to a measurable result.

Sentence frame:

  • If ______ changes, then ______ will happen because ______.

Example:

  • If the amount of light increases, then plant growth will increase because plants use light energy during photosynthesis.

Tip 3: Read Data Tables Carefully

Ask:

  • What question does the table answer?
  • What are the units?
  • Which variable was changed?
  • Which variable was measured?
  • Which result is highest or lowest?
  • Are there repeated trials?
  • What pattern do I see?

Tip 4: Read Graphs Like a Scientist

Before answering a graph question, check:

  • title
  • x-axis label
  • y-axis label
  • units
  • scale
  • trend or pattern
  • unusual data points

For most middle school graphs:

  • The independent variable is often on the x-axis.
  • The dependent variable is often on the y-axis.

Tip 5: Use Claim-Evidence-Reasoning

CER sentence frames:

  • Claim: The data show that ______.
  • Evidence: For example, ______.
  • Reasoning: This supports the claim because ______.

Example:

  • Claim: Warmer water made sugar dissolve faster.
  • Evidence: Sugar dissolved in 15 seconds in hot water but 90 seconds in cold water.
  • Reasoning: Warmer water particles move faster, which helps them interact with sugar particles more often.

Tip 6: Compare and Contrast Results

When comparing results, use exact data.

Weak comparison:

  • The hot water was faster.

Stronger comparison:

  • Sugar dissolved 75 seconds faster in hot water than in cold water.

Tip 7: Look for Errors and Improvements

Scientists improve investigations by asking:

  • Was the procedure clear?
  • Were variables controlled?
  • Were measurements accurate?
  • Were enough trials completed?
  • Was the sample size large enough?
  • Could bias have affected the result?
  • What tool would improve measurement?

Tip 8: Avoid Overclaiming

Do not claim more than the evidence shows.

Data:

  • A bean plant grew taller with 10 hours of light than with 2 hours of light.

Careful claim:

  • In this investigation, bean plants grew more with more daily light exposure.

Overclaim:

  • All plants always grow best with exactly 10 hours of light.

Tip 9: Think About Scale

Some investigations happen on a small scale, like sugar dissolving in a cup. Others happen on a large scale, like tracking climate patterns over decades.

Ask:

  • What is the size of the system?
  • How long does the process take?
  • What tools are needed to measure it?

Tip 10: Ask Follow-Up Questions

Good investigations often lead to new questions.

Examples:

  • Would the same pattern happen with salt instead of sugar?
  • Would the plant results change with different soil?
  • Would a heavier toy car show the same surface pattern?
  • How many trials would make the result more reliable?

9. Practice Questions

A. Quick Recall Questions

  1. What is a hypothesis?
  2. What is a variable?
  3. Which variable does the investigator change on purpose?
  4. Which variable does the investigator measure?
  5. What are controlled variables?
  6. What is evidence?
  7. What is the difference between an observation and an inference?
  8. Why do scientists repeat trials?
  9. What is a fair test?
  10. What does a conclusion explain?
  11. What is a control group?
  12. What is quantitative data?
  13. What is qualitative data?
  14. What does CER stand for?
  15. Why should scientists avoid changing several variables at once?

B. Multiple Choice Questions

Choose the best answer.

  1. A student asks, "How does the amount of water affect plant height?" What is the independent variable? A. Plant height B. Amount of water C. Type of ruler D. Number of leaves

  2. In the same plant investigation, what is the dependent variable? A. Amount of water B. Plant height C. Type of pot kept the same D. Location of the classroom

  3. Which is the best example of a testable scientific question? A. Are roses prettier than daisies? B. Is science fun? C. How does salt affect the freezing point of water? D. What is the best color?

  4. Which statement is a hypothesis? A. The water is clear. B. If light increases, then plant growth will increase because plants use light energy. C. The plant is 10 cm tall. D. I like sunny days.

  5. Why should controlled variables be kept the same? A. To make the investigation more confusing B. To make sure only one main variable is tested C. To avoid collecting data D. To prove the hypothesis before testing

  6. A student measures the mass of a rock as 52 grams. What type of data is this? A. Qualitative B. Opinion C. Quantitative D. Prediction

  7. Which is qualitative data? A. 15 mL B. 22°C C. 4.8 cm D. The liquid is cloudy

  8. Which tool is best for measuring temperature? A. Ruler B. Thermometer C. Balance D. Graduated cylinder

  9. What is the main reason scientists repeat trials? A. To make the experiment take longer B. To make results more reliable C. To change all variables D. To avoid using evidence

  10. In a paper towel test, which should be kept the same? A. Brand of paper towel B. Amount of water used C. Absorbency result D. Hypothesis wording only

  11. Which phrase best describes evidence? A. A personal preference B. A guess without testing C. Data used to support a claim D. A question that cannot be tested

  12. A student says, "The sugar dissolved fastest in hot water because the data show it took only 15 seconds." This statement uses: A. Evidence B. Bias only C. An unrelated opinion D. No observation

  13. What part of CER explains why the evidence supports the claim? A. Claim B. Evidence C. Reasoning D. Title

  14. Which graph is usually best for showing change over time? A. Line graph B. Picture of a lab C. Word cloud D. Map only

  15. Which graph is usually best for comparing categories? A. Bar graph B. Timeline only C. Paragraph D. Compass

  16. A student tests which surface lets a toy car travel farthest. What is a likely controlled variable? A. Surface type B. Distance traveled C. Same toy car D. Final distance

  17. What is a control group? A. A comparison group that does not receive the changed condition B. A variable that is measured C. The final answer D. A graph scale

  18. Which is an observation? A. The plant probably needs more light. B. The plant is 12 cm tall. C. The plant feels sad. D. The plant is the best one.

  19. Which is an inference? A. The cup contains 100 mL of water. B. The water temperature is 60°C. C. The candle went out because oxygen became limited. D. The string is 20 cm long.

  20. What should a scientist do if results do not support the hypothesis? A. Change the data B. Ignore the results C. Use the evidence to revise the explanation or ask a new question D. Claim the experiment failed automatically

  21. Which investigation is fairest? A. Testing different towels with different water amounts B. Testing different towels using the same towel size and same water amount C. Testing one towel once and guessing about others D. Testing towels without measuring anything

  22. What does accuracy mean? A. How colorful a graph is B. How close a measurement is to the true value C. How much someone likes the result D. How quickly a student writes

  23. What does precision mean? A. Repeated measurements are close to each other B. The hypothesis is always right C. The question is an opinion D. The graph has no labels

  24. Why are units important in data tables? A. They make measurements clear B. They replace evidence C. They make variables unnecessary D. They prove cause and effect

  25. Which question is most connected to engineering design? A. Which bridge design holds the most mass before bending? B. Which snack tastes best? C. Which color is happiest? D. Which song is most popular?

  26. A student expects Brand A to win and measures Brand A more carefully than Brand B. What problem is this? A. Bias B. Controlled variable C. Quantitative data D. Matter

  27. Which statement is an overclaim? A. In this test, tile allowed the toy car to travel farthest. B. The car traveled 158 cm on tile. C. Tile always makes every vehicle go fastest in every situation. D. Sandpaper had the shortest average distance in this investigation.

  28. Which question helps evaluate a procedure? A. Were the steps clear enough to repeat? B. Was the conclusion written first? C. Was the hypothesis guaranteed to be right? D. Did the student avoid collecting data?

  29. In a system, matter is: A. Anything that has mass and takes up space B. The ability to cause change C. A personal opinion D. A graph label

  30. In a system, energy is: A. Anything that has mass B. The ability to cause change or do work C. A controlled variable only D. A type of data table

  31. Which investigation would best test the effect of ramp height on car distance? A. Change ramp height and car type at the same time B. Change ramp height while keeping the car, ramp, and surface the same C. Change the floor surface each trial D. Do one trial with no measurements

  32. Why is sample size important? A. A larger sample can make results more reliable B. It lets scientists avoid variables C. It makes observations unnecessary D. It means the hypothesis is always correct

  33. Which is the best conclusion style? A. My hypothesis was right because I wanted it to be. B. The data support the claim because the average growth increased as light increased. C. The experiment was fun. D. I already knew the answer.

  34. Which axis usually shows the independent variable? A. x-axis B. y-axis C. graph title D. legend only

  35. Which axis usually shows the dependent variable? A. x-axis B. y-axis C. table title D. procedure list

C. Short Answer Questions

  1. A student wants to test whether music affects plant growth. Identify one independent variable, one dependent variable, and two controlled variables.

  2. Explain why "Which soda tastes best?" is not a strong scientific investigation question.

  3. A student tests three paper towel brands but uses different-sized pieces for each brand. Why is this a problem?

  4. Write a hypothesis for this question: How does the height of a ramp affect the distance a toy car travels?

  5. A graph shows that as water temperature increases, dissolving time decreases. Write a claim supported by this pattern.

  6. Explain the difference between data and evidence.

  7. Why might scientists use an average from three trials instead of only one measurement?

  8. A student records, "The liquid turned from clear to blue." Is this quantitative or qualitative data? Explain.

  9. Why is it important to include units, such as centimeters or seconds, in a data table?

  10. Give one example of matter and one example of energy in a plant growth investigation.

D. Data and Graph Interpretation Questions

Use Data Table 2 about the toy car surface investigation.

  1. Which surface allowed the toy car to travel the farthest on average?
  2. Which surface allowed the toy car to travel the shortest distance on average?
  3. What is the independent variable in this investigation?
  4. What is the dependent variable?
  5. How much farther did the car travel on tile than on carpet, using the averages?
  6. What scientific idea could explain why the car traveled shortest on sandpaper?
  7. Name two variables that should be controlled.
  8. Write a one-sentence conclusion using evidence.

Use Data Table 1 about sugar dissolving.

  1. What was the average dissolving time in cold water?
  2. What was the average dissolving time in hot water?
  3. What pattern do you see as temperature increases?
  4. Write a possible scientific explanation for the pattern.

E. Experiment Analysis Questions

Read the investigation plan:

A student wants to know whether fertilizer helps tomato plants grow taller.
The student plants one tomato seed in a small cup with sandy soil and no fertilizer.
The student plants another tomato seed in a large pot with rich soil and fertilizer.
The first plant is placed near a window. The second plant is placed under a grow light.
After two weeks, the second plant is taller.
The student concludes that fertilizer caused the second plant to grow taller.

Answer the questions:

  1. What is the student's claim?
  2. What is the intended independent variable?
  3. What is the dependent variable?
  4. Identify at least three variables that were not controlled.
  5. Why is the conclusion weak?
  6. Redesign the investigation to make it fairer.
  7. What data should the student collect?
  8. Why would using more than one plant in each group improve the investigation?

F. Longer Written / Reasoning Questions

  1. A class tests how water temperature affects the time it takes sugar to dissolve. Write a CER paragraph using the data from Data Table 1.

  2. Design an investigation to test how the amount of light affects bean plant growth. Include a testable question, hypothesis, independent variable, dependent variable, at least three controlled variables, procedure summary, and data to collect.

  3. Explain how scientists can reduce bias and improve reliability in an investigation.

  4. Compare an observation and an inference. Give two examples of each from a classroom investigation.

  5. Engineers are designing a package to protect a phone during shipping. Describe how they could use scientific investigation to compare different padding materials. Include variables, data, and how evidence would guide the design.

G. Interactive Thinking Tasks

  1. Partner discussion: Choose one everyday claim, such as "This cleaner works fastest" or "This bottle keeps drinks coldest." How could you test the claim fairly?

  2. Variable sort: Sort these into independent variable, dependent variable, or controlled variable for a ramp investigation: ramp height, car distance, same toy car, same floor, same starting point, time to travel, ramp surface.

  3. Sentence builder: Complete the hypothesis: If ______ increases, then ______ will ______ because ______.

  4. Data check: Look at a table from this study pack. Circle the highest value, underline the lowest value, and write one pattern you notice.

  5. Scenario reasoning: A student gets one result that is very different from the others. What should the student do before making a conclusion?

H. Discussion Prompts

  1. Why is it useful for scientists to share their procedures with others?
  2. Can an investigation still be useful if the hypothesis is not supported? Explain.
  3. How can everyday language make scientific vocabulary confusing?
  4. Why do engineers need evidence before choosing a design?
  5. What makes a scientific explanation stronger than a personal opinion?

10. Answer Key

A. Quick Recall Answers

  1. A testable possible answer or explanation for a scientific question.
  2. A factor that can change in an investigation.
  3. The independent variable.
  4. The dependent variable.
  5. Factors kept the same to make the test fair.
  6. Data or observations used to support a claim.
  7. An observation is directly noticed or measured; an inference is an explanation based on observations and knowledge.
  8. To make results more reliable and check for consistency.
  9. A test where one main variable is changed while other important factors are kept the same.
  10. It explains what the evidence shows about the question.
  11. A comparison group that does not receive the changed condition.
  12. Numerical data with units or counts.
  13. Descriptive data using words or categories.
  14. Claim-Evidence-Reasoning.
  15. Because it becomes difficult to know which variable caused the result.

B. Multiple Choice Answers

  1. B
  2. B
  3. C
  4. B
  5. B
  6. C
  7. D
  8. B
  9. B
  10. B
  11. C
  12. A
  13. C
  14. A
  15. A
  16. C
  17. A
  18. B
  19. C
  20. C
  21. B
  22. B
  23. A
  24. A
  25. A
  26. A
  27. C
  28. A
  29. A
  30. B
  31. B
  32. A
  33. B
  34. A
  35. B

C. Short Answer Sample Answers

  1. Independent variable: type of music or music volume. Dependent variable: plant height or growth. Controlled variables: plant type, water amount, soil type, pot size, light exposure, temperature.

  2. "Which soda tastes best?" is based on personal preference. A stronger scientific question would measure something testable, such as how much gas different sodas release at the same temperature.

  3. Different-sized pieces change the amount of material available to absorb water. The test would not show whether brand alone caused the difference.

  4. If ramp height increases, then the toy car will travel farther because it will have more energy when it reaches the bottom of the ramp.

  5. Higher water temperature decreases the time it takes sugar to dissolve.

  6. Data are collected measurements or observations. Evidence is data selected and used to support or challenge a claim.

  7. An average reduces the effect of unusual results or small measurement mistakes and gives a more reliable result.

  8. It is qualitative data because it describes a color change using words.

  9. Units show what was measured and make the data understandable. Without units, 20 could mean seconds, centimeters, grams, or something else.

  10. Matter: soil, water, plant, or air. Energy: light energy from the sun or grow light.

D. Data and Graph Interpretation Answers

  1. Tile.
  2. Sandpaper.
  3. Surface type.
  4. Distance the toy car travels.
  5. 95 cm farther, because 158 cm - 63 cm = 95 cm.
  6. Sandpaper has a rough surface that creates more friction, slowing the car.
  7. Same toy car, same ramp height, same starting point, same floor area, same measuring method.
  8. The toy car traveled farthest on tile, with an average distance of 158 cm, and shortest on sandpaper, with an average distance of 45 cm.
  9. 90 seconds.
  10. 15 seconds.
  11. As temperature increases, dissolving time decreases.
  12. Warmer water particles move faster and interact with sugar particles more often, causing the sugar to dissolve faster.

E. Experiment Analysis Answers

  1. Fertilizer caused the second tomato plant to grow taller.
  2. Fertilizer use.
  3. Tomato plant height.
  4. Soil type, container size, light source, possibly water amount, location, and temperature.
  5. The conclusion is weak because several variables changed at once. The taller plant may have grown more because of soil, pot size, light, fertilizer, or a combination.
  6. Use the same type of seed, same pot size, same soil, same water, same light, and same temperature. Give one group fertilizer and the other no fertilizer. Use multiple plants in each group.
  7. Starting height, height every few days, number of leaves, plant color, and final height.
  8. More plants reduce the chance that results are caused by one unusual seed or plant.

11. Model Answers / Suggested Responses

Model Answer 1: CER for Sugar Dissolving

The data show that warmer water makes sugar dissolve faster. In the investigation, sugar dissolved in an average of 90 seconds in cold water, 45 seconds in room-temperature water, 23 seconds in warm water, and 15 seconds in hot water. This evidence shows a clear pattern: as temperature increased, dissolving time decreased. This supports the claim because warmer water particles move faster, so they collide and interact with sugar particles more often. These interactions help the sugar break apart and spread through the water more quickly.

Model Answer 2: Bean Plant Investigation Design

Testable question:

  • How does the amount of daily light affect bean plant growth over 14 days?

Hypothesis:

  • If daily light exposure increases, then bean plants will grow taller because plants use light energy to make food during photosynthesis.

Variables:

  • Independent variable: hours of light per day
  • Dependent variable: plant height in centimeters
  • Controlled variables: bean type, soil type, pot size, water amount, temperature, starting seed depth, measurement method

Procedure summary:

  • Plant the same type of bean seeds in equal-sized pots with the same amount and type of soil.
  • Place plants in groups that receive 2 hours, 6 hours, or 10 hours of light per day.
  • Water each plant with the same amount of water at the same time each day.
  • Measure plant height every two days for 14 days.
  • Record the data in a table and calculate average growth for each group.

Data to collect:

  • starting height
  • height every two days
  • final height
  • total growth
  • observations about leaf color or plant health

Model Answer 3: Reducing Bias and Improving Reliability

Scientists can reduce bias by using clear measurement rules, recording all results honestly, and not changing the procedure to favor an expected outcome. They can improve reliability by repeating trials, using more samples, using accurate tools, and keeping controlled variables the same. For example, if students test paper towel absorbency, they should use the same towel size, same water amount, same soaking time, and several trials for each brand. If the same pattern appears across repeated trials, the results are more trustworthy.

Model Answer 4: Observation and Inference

An observation is something directly noticed or measured. An inference is an explanation based on observations and prior knowledge. In a classroom investigation, observations might include "the liquid turned blue" and "the temperature increased by 5°C." Inferences might include "a chemical reaction may have occurred" and "thermal energy was transferred to the liquid." Observations describe what happened, while inferences explain why it may have happened.

Model Answer 5: Engineering Package Investigation

Engineers could test different padding materials by placing a model phone or weighted block inside packages with foam, paper, bubble wrap, or air pillows. The independent variable would be the padding material. The dependent variable could be the impact force measured by a sensor or the amount of damage after a drop. Controlled variables should include drop height, box size, object mass, landing surface, and number of drops. Engineers would repeat each test several times and compare average impact force. The best design would be the material that reduces impact force the most while meeting other needs, such as cost, weight, and recyclability.

Suggested Key Points for Extended Responses

Strong extended responses should:

  • answer the question directly
  • identify the variables correctly
  • include specific data when available
  • explain the science idea behind the result
  • mention controlled variables or fair testing
  • avoid claims that go beyond the evidence
  • use vocabulary such as hypothesis, variable, evidence, data, claim, system, matter, and energy correctly

12. Final Revision Checklist

Use this checklist before a quiz, discussion, lab, or project.

□ I can define hypothesis, variable, evidence, system, energy, and matter.

□ I can tell the difference between independent, dependent, and controlled variables.

□ I can write a testable scientific question.

□ I can write a hypothesis using an if-then-because structure.

□ I can explain why a fair test changes one main variable at a time.

□ I can identify a control group when one is used.

□ I can tell the difference between quantitative and qualitative data.

□ I can organize results in a data table.

□ I can read a graph by checking the title, axes, labels, units, and trend.

□ I can use data as evidence to support a claim.

□ I can write a Claim-Evidence-Reasoning explanation.

□ I can identify common investigation problems, such as too few trials or uncontrolled variables.

□ I can suggest improvements to an investigation.

□ I can explain why repeated trials and larger sample sizes improve reliability.

□ I can describe how science and engineering use evidence to solve real-world problems.

□ key vocabulary defined

□ core concepts understood

□ real-world examples known

□ data / diagrams interpreted

□ common misconceptions identified

□ practice questions attempted

□ model answers reviewed