Statistics Quiz

When should you use a paired samples t-test?

• Comparing the means of two different groups

• Comparing two means within the same group

• Analyzing multiple groups of categorical variables

• Calculating correlation between two variables

What is a type one error (false positive)?

• Incorrectly failing to reject a false null hypothesis

• Incorrectly rejecting a true null hypothesis

• Correctly accepting a true alternative hypothesis

• Correctly rejecting a false null hypothesis

When should you use an independent samples t-test?

• Comparing two means within the same group

• Comparing multiple variables within one subject

• Comparing the means of two different groups

• Calculating the median of a single group

Why are larger sample sizes beneficial in statistical analysis?

• They increase the chance of type one errors

• They reduce the trustworthiness of the results

• They increase the reliability and power of the test

• They decrease the likelihood of finding significant results

What is a type two error (false negative)?

• Correctly rejecting a false null hypothesis

• Correctly failing to reject a true null hypothesis

• Incorrectly rejecting a true null hypothesis

• Incorrectly failing to reject a false null hypothesis

What is power in statistical analysis?

• The ability of a test to detect an effect when one exists

• The ability of a test to confirm the null hypothesis

• The size of the sample being studied

• The ratio of successful tests to failed tests

What are variables in statistical analysis?

• The type of data (nominal, ordinal, interval, ratio) being measured

• Factors that influence the results of the study

• Types of statistical tests being conducted

• A standard deviation of the data set

What analogy was used to explain the consequences of type one and type two errors?

• The tortoise and the hare

• The boy who cried wolf

• The lion and the mouse

• The fox and the grapes