Sasha assesses the levels of gratitude of 25 people. If she calculates s = 5.50,

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Sasha assesses the levels of gratitude of 25 people. If she calculates s = 5.50, what is sM?

Question 1 options:

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Question 2 (10 points)

Given the following information, t = 1.70, df = 19, = .05, one-tailed hypothesis, what decision should be made regarding the hypothesis?

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Question 3 (10 points)

If Selma collects data from 10 people, how many degrees of freedom does she have in her study if she plans to conduct a single-sample t test?

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Question 4 (10 points)

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

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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?

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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:

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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?

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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?

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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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a)

1.10

b)

4.55

c)

0.22

d)

10.66

Explanation / Answer

1) The levels of gratitude of 25 people. If she calculates s = 5.50,

SM = s/sqrt(n) = 5.5/5 =1.1

2) Given the following information, t = 1.70, df = 19, = .05, one-tailed hypothesis,

t critical value =1.73

t cal t critical value we do not reject the H0.

3)If Selma collects data from 10 people, degrees of freedom does she have in her study if she plans to conduct a single-sample t test is n-1=9

4) sample size and tcv when conducting a single-sample t test

ex: if n=8 then df=7, t critical value is 2.36

if n=12 then df=11, t critical value=2.20

Hence there is a negative relative between tcv and sample size

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