Chapter 9 Flashcards
What is the minimum level of measurement for t-tests?
Interval
When would you use the one-sample-Z-test instead of the one-sample-t-test?
(a) it’s only for when you want to compare a single sample’s mean to a population mean and (b) you have to know the population standard deviation.
When would you use the one-sample-t-test instead of the one-sample-Z-test?
When you want to know the sample mean to a population mean BUT you do not have the population standard deviation, so you use the sample standard deviation.
When would you use the two-sample t-test?
This is used when you want to compare the means of people in two separate groups such as men and women or Republicans and Democrats. Good for experiments.
When would you use the repeated-measures t-test?
This is used when you gather data from people at two points in time, such as the beginning and end of a college course, and you want to look for changes in each person’s score
What does Cohen’s D mean for the one-sample t test?
to know exactly how far away the sample mean is in a generalized way
What does Cohen’s D mean for the repeated t test?
to know exactly how far away the sample mean is in a generalized way
What does Cohen’s D mean for the two sample t test?
to know exactly how far away the sample mean is in a generalized way
If we were to retain (fail to reject) the null hypothesis. What is the probability of getting a Type I error? And why?
there would be zero risk or zero probability of a Type I error or false positive BECAUSE WE DO NOT HAVE A POSITIVE RESULT
If we were to reject the null hypothesis. What is the probability of getting a Type II error? And why?
there is zero risk or zero probability of a Type II error or false negative. BECAUSE WE DO NOT HAVE A NEGATIVE RESULT
If we were to reject the null hypothesis. What is the probability of getting a Type I error?
There would be a chance of a type 1 error
If we were to retain (fail to reject) the null hypothesis. What is the probability of getting a Type II error?
There would be a chance of a type II error