5366_week 5 quiz .docx - Review Test Submission Quiz Module 5 Content Question 1 What must be done to decrease the chances of Type I and Type II errors

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Review Test Submission: Quiz Module 5 Content Question 1 What must be done to decrease the chances of Type I and Type II errors? Answers : a. Decrease the number of variables. b. Increase the sample size. c. Decrease the sample size. d. Measure the sample characteristics Response Feedback: page 521
Question 2 Which of the following tests is essentially a comparison of means? Answers : a. Pearson's correlation b. t- test c. Chi-square 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. pages 567-571 Question 3 When there is an outlier in the data set, which measure of central tendency is effected the most? Answers : a. Median b. Mean
c. Mode Response Feedback: page 537 Question 4 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. Standard deviation c. Difference scores d. Magnitude Response Feedback: page 540 Question 5 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. Chi-square b. parametric test c. paired t -test Response Feedback: page 576 Question 6 A group of researchers studied functional impairment scores in a group of 10 patients before and after a new rehabilitation intervention. The researchers set the alpha at 0.05 which meant that the critical t value would be 2.26 (9 df ). Data analysis showed t

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• Fall '16
• Denise Cauble
• Nursing, Statistics, Statistical hypothesis testing, researcher, Statistical significance