Chapter 9 Flashcards

1
Q

What is the minimum level of measurement for t-tests?

A

Interval

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2
Q

When would you use the one-sample-Z-test instead of the one-sample-t-test?

A

(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.

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3
Q

When would you use the one-sample-t-test instead of the one-sample-Z-test?

A

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.

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4
Q

When would you use the two-sample t-test?

A

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.

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5
Q

When would you use the repeated-measures t-test?

A

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

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6
Q

What does Cohen’s D mean for the one-sample t test?

A

to know exactly how far away the sample mean is in a generalized way

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7
Q

What does Cohen’s D mean for the repeated t test?

A

to know exactly how far away the sample mean is in a generalized way

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8
Q

What does Cohen’s D mean for the two sample t test?

A

to know exactly how far away the sample mean is in a generalized way

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9
Q

If we were to retain (fail to reject) the null hypothesis. What is the probability of getting a Type I error? And why?

A

there would be zero risk or zero probability of a Type I error or false positive BECAUSE WE DO NOT HAVE A POSITIVE RESULT

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10
Q

If we were to reject the null hypothesis. What is the probability of getting a Type II error? And why?

A

there is zero risk or zero probability of a Type II error or false negative. BECAUSE WE DO NOT HAVE A NEGATIVE RESULT

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11
Q

If we were to reject the null hypothesis. What is the probability of getting a Type I error?

A

There would be a chance of a type 1 error

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12
Q

If we were to retain (fail to reject) the null hypothesis. What is the probability of getting a Type II error?

A

There would be a chance of a type II error

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