AP Bio FRQ experimental design cheat sheet

This cheat sheet provides key concepts and strategies for designing experiments in AP Biology, focusing on cell biology. It includes essential terms, processes, and methodologies that are critical for understanding experimental design and analysis in the AP curriculum.

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Define independent variable.

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The variable that is manipulated in an experiment to test its effects.

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Quiz(24 pytania)

Pytanie 1 z 24

1. What does it mean if a result has a p-value of 0.03?

Pojęcia w tym zestawie(24)

Experimental Design Fundamentals(12)

Define independent variable.

The variable that is manipulated in an experiment to test its effects.

What is a control group?

A group that does not receive the treatment; used for comparison.

True or False: More trials increase reliability.

True - More trials reduce random error and increase validity.

Fill in the blank: Replication is essential for __________.

validating results and ensuring accuracy.

Compare dependent and independent variables.

Independent variable: manipulated; Dependent variable: measured response.

Example of a hypothesis: If I water plants more, then __________.

they will grow taller due to increased hydration.

What role does replication play in experiments?

It allows for verification of results and reduces variability.

True or False: Randomly assigning subjects removes bias.

True - It ensures each subject has an equal chance, enhancing validity.

Difference between qualitative and quantitative data.

Qualitative: descriptive data; Quantitative: numerical data.

What is a confounding variable?

An extraneous variable that could affect the outcome of the experiment.

State the purpose of a placebo group.

To control for psychological effects; subjects believe they are receiving treatment.

Calculate the mean of these numbers: 5, 10, 15.

Mean = (5 + 10 + 15) / 3 = 10.

Data Collection and Analysis(12)

What is statistical significance?

A result is statistically significant if the probability of it occurring by chance is less than 5% (p < 0.05).

Define experimental error.

Experimental error refers to the variability in data caused by factors affecting measurements. Types: - Random error - Systematic error

True or False: All data must be normally distributed.

False: While many statistical tests assume normality, others can be used for non-normal data.

Fill in the blank: The __________ is a measure of how spread out data is.

Standard deviation.

What is a control group?

A control group is a baseline that does not receive the experimental treatment, allowing comparison with the experimental group.

List two methods of data collection.

- Surveys - Observations

Calculate the mean of: 10, 20, 30.

Mean = (10 + 20 + 30) / 3 = 20.

What does a p-value indicate?

A p-value indicates the probability that the observed results occurred by chance; lower values suggest stronger evidence against the null hypothesis.

Compare qualitative and quantitative data.

Qualitative data describes characteristics (e.g., color), while quantitative data involves numerical measurements (e.g., height in inches).

What is the purpose of replication in experiments?

Replication increases the validity and reliability of results by ensuring that findings are consistent across multiple trials.

Cause → Effect: Outlier in data.

An outlier can skew the results, leading to misleading interpretations of data trends.

List three types of descriptive statistics.

- Mean - Median - Mode

Pytania w tym zestawie(24)

1. What does it mean if a result has a p-value of 0.03?

A.The result is statistically significant.
B.The result is not statistically significant.
C.The result indicates a strong correlation.
D.The result is inconclusive.

2. What is the primary purpose of an independent variable in an experiment?

A.It is the variable that is manipulated.
B.It is the variable that is measured.
C.It is a factor kept constant.
D.It is the variable that is influenced by the treatment.

3. Which of the following best describes systematic error?

A.Random fluctuations in measurement.
B.Consistent inaccuracies in measurement.
C.Variability due to environmental changes.
D.Errors caused by participant bias.

4. Which group in an experiment receives the treatment under investigation?

A.Control group
B.Experimental group
C.Placebo group
D.Random group

5. Which of the following is NOT a method of data collection?

A.Surveys
B.Calculations
C.Observations
D.Experiments

6. True or False: A confounding variable can lead to incorrect conclusions in an experiment.

A.True
B.False
C.Only if it is not controlled
D.Only if it is not measured

7. What is the median of the following data set: 3, 7, 9, 2, 5?

A.5
B.6
C.7
D.8

8. Which of the following best describes replication in experimental design?

A.Conducting multiple trials to ensure reliability.
B.Using a control group to compare results.
C.Changing multiple independent variables at once.
D.Measuring the same dependent variable repeatedly.

9. Which type of data would be best for measuring the height of plants in inches?

A.Qualitative data
B.Quantitative data
C.Descriptive data
D.Experimental data

10. Fill in the blank: The dependent variable is the variable that is __________.

A.controlled by the researcher
B.manipulated by the researcher
C.measured in response to the independent variable
D.randomly assigned to subjects

11. What is the role of the control group in an experiment?

A.To introduce variability.
B.To receive the experimental treatment.
C.To serve as a baseline for comparison.
D.To manipulate the independent variable.

12. Which of the following is NOT a characteristic of a good hypothesis?

A.It is testable.
B.It is based on prior research.
C.It is vague and broad.
D.It can predict an outcome.

13. In which situation would you apply replication in an experiment?

A.To increase variability in the data.
B.To ensure consistent results across trials.
C.To analyze qualitative data.
D.To reduce the sample size needed.

14. In an experiment testing the effect of sunlight on plant growth, what would be an example of the control group?

A.Plants grown with regular sunlight
B.Plants grown in complete darkness
C.Plants grown with less sunlight
D.Plants grown with different soil types

15. What is the primary purpose of descriptive statistics?

A.To summarize and describe data.
B.To test hypotheses.
C.To establish cause and effect relationships.
D.To predict future trends.

16. What distinguishes qualitative data from quantitative data?

A.Qualitative data is numerical, while quantitative data is descriptive.
B.Qualitative data describes qualities, while quantitative data involves numbers.
C.Qualitative data is more important than quantitative data.
D.Qualitative data is gathered through experiments, while quantitative data is observational.

17. Which of the following statements about outliers is correct?

A.They are always errors in data collection.
B.They can skew the overall results.
C.They do not affect statistical analysis.
D.They are beneficial for data accuracy.

18. What is the purpose of a placebo in an experimental study?

A.To test the efficacy of a new treatment.
B.To eliminate confounding variables.
C.To control for psychological effects on participants.
D.To replace the need for a control group.

19. How do you calculate the standard deviation of the data set: 4, 8, 6, 5?

A.Calculate the mean, then find the average distance from the mean.
B.Add all numbers together.
C.Find the median of the data set.
D.Subtract the smallest value from the largest value.

20. True or False: Random assignment helps eliminate biases in the selection of participants for study groups.

A.True
B.False
C.Only for large samples
D.Only if the sample is diverse

21. What is the primary factor in determining statistical significance?

A.Sample size
B.Type of data
C.p-value
D.Independent variable

22. Calculate the median of these numbers: 3, 7, 9, 12, 15.

A.9
B.10
C.7
D.12

23. Which of the following is a characteristic of qualitative data?

A.It is numerical in nature.
B.It can be graphed as a line graph.
C.It describes non-numerical characteristics.
D.It is always more reliable than quantitative data.

24. Which aspect of experimental design is crucial for ensuring that the results can be generalized to a larger population?

A.Sample size
B.Independent variable
C.Dependent variable
D.Trial duration

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