Statistics Questions with CORRECT Answers (Verified Update)
Q1: A sample of ... or A survey of ...
Answer: Key phrases used to describe a sample.
Q2: When an individual declines to participate in an experiment.
Answer: Refusal
Q3: All or Every
Answer: Keywords used to describe a population.
Q4: Bar Graph
Answer: A graph for categorical variables using bars to represent the data.
Q5: Biased
Answer: Studies that systematically overrepresent some parts of the population and underrepresent
other parts.
Q6: Bimodal
Answer: Distributions that have two peaks.
Q7: Block design
Answer: Individuals in an experiment are grouped by an important factor, then treatments are
randomly assigned within the groups.
Q8: Blocked Design
Answer: Explaining the purpose of a blocked design in research.
Q9: Boxplot
Answer: A graphical representation of the five number summary.
Q10: Categorical
Answer: Places individuals into one of several groups or categories.
Q11: Categorical Variables
Answer: Defining variables placed into distinct categories.
, Q12: Categorical vs. Quantitative Variables
Answer: Differentiating between categorical and quantitative variables.
Q13: Census
Answer: A survey that attempts to include the entire population.
Q14: Clinical Trial Justification
Answer: Determining when a researcher is justified in conducting a clinical trial.
Q15: Cluster
Answer: Samples pulled by grouping data by some naturally occurring groups and then randomly
selecting a few groups.
Q16: Contingency Table
Answer: Describing tables that describe the distribution of two categorical variables.
Q17: Contingency Table Analysis
Answer: Analyzing a contingency table to answer specific questions.
Q18: Convenience
Answer: Samples that involve selecting individuals that are easiest to reach.
Q19: Data Ethics Basics
Answer: Organizations must have an institutional review board, informed consent, and keep
individual data confidential.
Q20: Data Faking Ethics
Answer: Addressing the ethics of faking data for research purposes.
Q21: Double-blind experiment
Answer: An experiment where neither the subjects nor the administrators know the treatment
assignments.
Q22: Dropout
Answer: Individuals who begin but do not complete an experiment.
Q1: A sample of ... or A survey of ...
Answer: Key phrases used to describe a sample.
Q2: When an individual declines to participate in an experiment.
Answer: Refusal
Q3: All or Every
Answer: Keywords used to describe a population.
Q4: Bar Graph
Answer: A graph for categorical variables using bars to represent the data.
Q5: Biased
Answer: Studies that systematically overrepresent some parts of the population and underrepresent
other parts.
Q6: Bimodal
Answer: Distributions that have two peaks.
Q7: Block design
Answer: Individuals in an experiment are grouped by an important factor, then treatments are
randomly assigned within the groups.
Q8: Blocked Design
Answer: Explaining the purpose of a blocked design in research.
Q9: Boxplot
Answer: A graphical representation of the five number summary.
Q10: Categorical
Answer: Places individuals into one of several groups or categories.
Q11: Categorical Variables
Answer: Defining variables placed into distinct categories.
, Q12: Categorical vs. Quantitative Variables
Answer: Differentiating between categorical and quantitative variables.
Q13: Census
Answer: A survey that attempts to include the entire population.
Q14: Clinical Trial Justification
Answer: Determining when a researcher is justified in conducting a clinical trial.
Q15: Cluster
Answer: Samples pulled by grouping data by some naturally occurring groups and then randomly
selecting a few groups.
Q16: Contingency Table
Answer: Describing tables that describe the distribution of two categorical variables.
Q17: Contingency Table Analysis
Answer: Analyzing a contingency table to answer specific questions.
Q18: Convenience
Answer: Samples that involve selecting individuals that are easiest to reach.
Q19: Data Ethics Basics
Answer: Organizations must have an institutional review board, informed consent, and keep
individual data confidential.
Q20: Data Faking Ethics
Answer: Addressing the ethics of faking data for research purposes.
Q21: Double-blind experiment
Answer: An experiment where neither the subjects nor the administrators know the treatment
assignments.
Q22: Dropout
Answer: Individuals who begin but do not complete an experiment.
