Which best describes the relationship between sample size and t cv when conducti

Question

Which best describes the relationship between sample size and tcv when conducting a single-sample t test?

Question 4 options:

a)

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c)

d)

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Question 5 (10 points)

Nikki tells that the 95% CI for her study is [0.10, 4.34] and she rejected the null hypothesis. What conclusion would one reach about the effect size?

Question 5 options:

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Question 6 (10 points)

Kenzie is conducting a study and plans to use a single-sample t test. If she increases her sample size from 30 to 100 participants, the critical value of t will:

Question 6 options:

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Question 7 (10 points)

Which of these is not to be considered when interpreting the results of a single-sample t test?

Question 7 options:

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Question 8 (10 points)

If s = 15 and N = 9, what is sM?

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Question 9 (10 points)

If researchers plan to conduct a single-sample t test, how many degrees of freedom do they have if they collect data from 99 people?

Question 9 options:

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Question 10 (10 points)

When evaluating the width of a confidence interval (i.e., wide versus narrow), which of these should be considered?

Question 10 options:

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b)

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d)

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a)

Sample size only affects tcv if one is using a two-tailed test.

b)

As the sample size increases, tcv decreases until it becomes equivalent to zcv.

c)

As the sample size increases, tcvincreases.

d)

Sample size does not affect tcv.

Explanation / Answer

4) As the sample size increases, tcv decreases until it becomes equivalent to zcv.

5) The effect size is small because the lower limit is close to zero.

6) decrease.

7) the sample size

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