Experimental Design and Data Analysis Quiz

Test your knowledge on experimental design & data analysis with questions on control groups, statistical tests, hypothesis testing, and more.

#1

What is the purpose of a control group in an experiment?

To provide a baseline for comparison
To introduce bias into the experiment
To ensure the experiment runs smoothly
To manipulate the independent variable
#2

Which of the following is NOT a measure of central tendency?

Mean
Median
Mode
Variance
#3

What is the purpose of a histogram in data analysis?

To visualize the relationship between two variables
To summarize categorical data
To display the distribution of a continuous variable
To compare means of multiple groups
#4

What is the purpose of a scatter plot in data analysis?

To display the distribution of a single variable
To compare means of multiple groups
To visualize the relationship between two continuous variables
To summarize categorical data
#5

Which of the following is a measure of dispersion?

Mean
Median
Mode
Standard deviation
#6

Which statistical test is appropriate for comparing the means of two independent groups?

Paired t-test
Chi-square test
Independent samples t-test
ANOVA
#7

What does p-value signify in hypothesis testing?

The probability of rejecting a true null hypothesis
The probability of accepting a false null hypothesis
The probability of observing the data if the null hypothesis is true
The probability of observing the data if the alternative hypothesis is true
#8

What is the purpose of blinding in an experiment?

To prevent researcher bias
To manipulate the dependent variable
To control for confounding variables
To ensure the experiment is ethical
#9

What is randomization in experimental design?

Assigning subjects to groups based on personal characteristics
Ensuring each subject has an equal chance of being assigned to any group
Manipulating the independent variable randomly
Using a random number generator for data analysis
#10

What is the purpose of a pilot study?

To collect preliminary data
To confirm the hypothesis
To manipulate the independent variable
To publish initial findings
#11

What does a Type II error refer to in hypothesis testing?

Rejecting a false null hypothesis
Accepting a true null hypothesis
Failing to reject a false null hypothesis
Failing to reject a true null hypothesis
#12

Which type of study design is most suitable for investigating causality?

Cross-sectional study
Case-control study
Experimental study
Observational study
#13

In a factorial design, how many independent variables are manipulated?

One
Two
Three
It varies depending on the study

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