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How do scientists design fair investigations, use evidence, and explain what they discover about the natural world?
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:
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.
By the end of this study pack, you should be able to:
| 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 |
Science is a way of learning about the natural world. Scientists often begin by noticing something interesting.
Examples:
A strong scientific question is testable. That means you can collect evidence to help answer it.
Weak question:
Stronger scientific question:
The stronger question identifies something that can be changed and something that can be measured.
An observation is information you gather directly. You might use your senses, but scientists often use tools to make observations more exact.
Observation examples:
An inference is an explanation based on observations and what you already know.
Observation:
Inference:
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.
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:
The prediction is what you expect to happen in the investigation.
Question:
Hypothesis:
Prediction:
A variable is anything that can change in an investigation. Scientific investigations are stronger when variables are clearly identified.
The independent variable is what the investigator changes on purpose.
Example:
The dependent variable is what the investigator measures or observes.
Example:
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:
If too many things change at once, it becomes difficult to know what caused the result.
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:
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.
In some investigations, scientists use a control group for comparison.
Example:
Question:
Control group:
Experimental group:
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.
Data are the measurements or observations collected during an investigation. Evidence is data used to support a claim.
Data:
Evidence:
Data become evidence when you use them to answer a question.
Good scientific evidence should be:
Scientists often look for patterns in data.
Patterns can show:
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 system is a group of parts that interact. Many investigations study systems.
Examples of systems:
Matter is the stuff in a system. It has mass and takes up space.
Energy is involved when changes happen. For example:
When designing investigations, scientists ask:
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."
Question:
Hypothesis:
Variables:
Evidence:
Possible improvement:
Question:
Investigation:
Possible result:
Scientific reasoning:
Question:
System:
Matter:
Energy:
Prediction:
Scientific reasoning:
Engineers use scientific investigations to design and improve products. A helmet company wants to test which padding material best reduces impact force.
Question:
Investigation:
Variables:
Why this matters:
Scientific investigation is used in many areas:
In every case, scientists and engineers need evidence before making strong claims.
Question:
Controlled variables:
| 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?
Possible claim:
Question:
| 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:
Scientific reasoning:
Question:
| 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:
Possible caution:
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:
| 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 |
Ask a Question
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Research / Observe
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Make a Hypothesis
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Plan a Fair Test
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Collect Data
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Analyze Patterns
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Make a Conclusion
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Ask New Questions / Revise
Science is often a cycle, not a straight line. New evidence can lead to new questions.
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
Measurements collected
|
v
Organized in a data table
|
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Patterns found in graph
|
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Evidence selected
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Claim supported or challenged
|
v
Scientific explanation written
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
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
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
Correct thinking:
Better example:
Correct thinking:
Correct thinking:
Opinion:
Evidence:
Correct thinking:
Correct thinking:
Correct thinking:
Correct thinking:
Memory tip:
Correct thinking:
Correct thinking:
Correct thinking:
Example:
Try this:
Example:
A strong hypothesis connects a change to a measurable result.
Sentence frame:
Example:
Ask:
Before answering a graph question, check:
For most middle school graphs:
CER sentence frames:
Example:
When comparing results, use exact data.
Weak comparison:
Stronger comparison:
Scientists improve investigations by asking:
Do not claim more than the evidence shows.
Data:
Careful claim:
Overclaim:
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:
Good investigations often lead to new questions.
Examples:
Choose the best answer.
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
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
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?
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.
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
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
Which is qualitative data? A. 15 mL B. 22°C C. 4.8 cm D. The liquid is cloudy
Which tool is best for measuring temperature? A. Ruler B. Thermometer C. Balance D. Graduated cylinder
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
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
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
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
What part of CER explains why the evidence supports the claim? A. Claim B. Evidence C. Reasoning D. Title
Which graph is usually best for showing change over time? A. Line graph B. Picture of a lab C. Word cloud D. Map only
Which graph is usually best for comparing categories? A. Bar graph B. Timeline only C. Paragraph D. Compass
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
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
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.
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.
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
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
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
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
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
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?
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
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.
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?
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
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
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
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
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.
Which axis usually shows the independent variable? A. x-axis B. y-axis C. graph title D. legend only
Which axis usually shows the dependent variable? A. x-axis B. y-axis C. table title D. procedure list
A student wants to test whether music affects plant growth. Identify one independent variable, one dependent variable, and two controlled variables.
Explain why "Which soda tastes best?" is not a strong scientific investigation question.
A student tests three paper towel brands but uses different-sized pieces for each brand. Why is this a problem?
Write a hypothesis for this question: How does the height of a ramp affect the distance a toy car travels?
A graph shows that as water temperature increases, dissolving time decreases. Write a claim supported by this pattern.
Explain the difference between data and evidence.
Why might scientists use an average from three trials instead of only one measurement?
A student records, "The liquid turned from clear to blue." Is this quantitative or qualitative data? Explain.
Why is it important to include units, such as centimeters or seconds, in a data table?
Give one example of matter and one example of energy in a plant growth investigation.
Use Data Table 2 about the toy car surface investigation.
Use Data Table 1 about sugar dissolving.
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:
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.
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.
Explain how scientists can reduce bias and improve reliability in an investigation.
Compare an observation and an inference. Give two examples of each from a classroom investigation.
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.
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?
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.
Sentence builder: Complete the hypothesis: If ______ increases, then ______ will ______ because ______.
Data check: Look at a table from this study pack. Circle the highest value, underline the lowest value, and write one pattern you notice.
Scenario reasoning: A student gets one result that is very different from the others. What should the student do before making a conclusion?
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.
"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.
Different-sized pieces change the amount of material available to absorb water. The test would not show whether brand alone caused the difference.
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.
Higher water temperature decreases the time it takes sugar to dissolve.
Data are collected measurements or observations. Evidence is data selected and used to support or challenge a claim.
An average reduces the effect of unusual results or small measurement mistakes and gives a more reliable result.
It is qualitative data because it describes a color change using words.
Units show what was measured and make the data understandable. Without units, 20 could mean seconds, centimeters, grams, or something else.
Matter: soil, water, plant, or air. Energy: light energy from the sun or grow light.
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.
Testable question:
Hypothesis:
Variables:
Procedure summary:
Data to collect:
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.
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.
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.
Strong extended responses should:
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