1/7
Flashcards containing key terms and definitions related to two-sample inference, hypothesis testing, and chi-squared procedures.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No analytics yet
Send a link to your students to track their progress
In order for a p-value to be considered significant, it must be less than a certain threshold. This threshold is…
a. 0.05 b. 0.1 c. 0.001
The effect size is an important measure for determining the strength of a relationship. It is measured by…
a. Cohen's d b. t-value c. r-squared
A confidence interval gives us information about the…
a. range of values that estimate the population parameter b. exact value of the population parameter c. variance of the sample data
For a two-proportion z-test, the null hypothesis states that…
a. there is no difference between the two population proportions b. at least one population proportion is greater c. both proportions are equal to zero
Part 3: True or False: The last few questions of the exam are Independent True/False choice items. Circle the correct answer.
All p-values derived from hypothesis tests should be reported in a consistent format.
a. True b. False
The central limit theorem states that as the sample size increases, the sampling distribution of the mean will approach…
a. a normal distribution b. a uniform distribution c. a binomial distribution
If the sample size is increased, the standard error will…
a. increase b. decrease c. remain the same
In hypothesis testing, a Type I error occurs when…
a. we reject the null hypothesis when it is actually true b. we fail to reject the null hypothesis when it is actually false c. we incorrectly fail to accept the alternative hypothesis