Question

If I want to compare the performance of a particular group to an established, accepted average but information about the population standard deviation is not available. I should

Group of answer choices

conclude this cannot be done.

conduct a one-sample t-test.

conduct a one-sample z-test.

conduct a correlated t-test.

Why, in some cases, is a measure of association needed in addition to a p-value for a statistical test?

Group of answer choices

The p-value only specifies the reliability of the effect.

The p-value only specifies the size of the effect.

A measure of association reduces the probability of a Type II error.

There is no good reason to want a measure of association once you have a significant result.

Based on the fact pattern from Question #5: Which type of statistical test should the researcher do?

Group of answer choices

one sample t-test

dependent samples t-test

independent samples t-test

paired samples t-test

Answer #1

**Answer
1**

Conduct a one-sample t-test.

*A one-sample t-test for the mean is a hypothesis test that
attempts to make a claim about the population mean when the
population standard deviation is unknown (which is generally the
case).*

**Answer
2**

The p-value only specifies the reliability of the effect.

*p-value only specifies the reliability of the effect.
Calculating a measure of an association like the correlation
coefficient would enable us to know how closely associated the
variables under study are, thus helping us in making a much more
informed decision about which test is appropriate.*

**Answer
3**

paired-samples t-test

*When we have an association between the samples, we perform
the paired samples t-test. This is a before and after test between
two related variables.*

**Please do
upvote if you are satisfied! Let me know in the comments if
anything is not clear. I will reply ASAP!**

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1.
The power of a statistical hypothesis test should be
Group of answer choices
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2.
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Group of answer choices
the Type I error rate is 0.15
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