test 5 answers .docx - I highlighted the answers that I know for sure are correct but it can still help to know the questions can find the answers Chegg

test 5 answers .docx - I highlighted the answers that I...

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I highlighted the answers that I know for sure are correct, but it can still help to know the questions can find the answers. Chegg website had a lot of the answers but I do not have a membership to see the answers. If you get one you will see most of the questions on there. Question 1 What must be done to decrease the chances of Type I and Type II errors? Answers : a. Increase the sample size. b. Decrease the sample size. c. Decrease the number of variables. d. Measure the sample characteristics Response Feedback: page 521 Question 2 Which statement is true about chi-square analysis? Answers : a.
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It is a parametric test. b. It is used for two nominal variables c. It has the assumption of a normal distribution Response Feedback: page 575 Question 3 Which of the following measures is the most helpful both for providing a quantification of dispersion and for providing a way to interpret how far away from the mean each individual score is? Answers: a. Range b. Difference scores c. Magnitude d. Standard deviation
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Response Feedback: page 540 Question 4 A group of 15 nurses was asked which of two types of coffee they preferred. Seven of the nurses preferred the first type, while eight of the nurses preferred the second type. Which statistical test would be appropriate to determine differences in these two groups? Answers : a. paired t -test b. Chi-square c. parametric test Response Feedback: page 576 Question 5 Which of the following correlation coefficients shows the strongest relationship? Answers : a. .10 b.
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.80 c. –.85 Response Feedback: page 546 Question 6
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Question 7 Which of the following tests is essentially a comparison of means? Answers : a. Pearson's correlation b. Chi-square c. t- test Response Feedback: One of the most common parametric analyses used to test for significant differences between group means of two samples is the t- test. In its calculation, the numerator is the difference scores of the means of the two samples. In addition, the test uses the pooled standard deviation of the two samples as the denominator.
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  • Fall '16
  • Denise Cauble
  • Nursing, Statistics, researcher, Statistical significance, Response Feedback

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