FalseResponse Feedback:page 567a.b.c.Feedback:page 570 Question 8 A Family Nurse Practitioner believes that he has developed an intervention that can accelerate weight loss in adults with Type II diabetes when administered with a healthy diet. He recruits 25 participants from a local church. He obtains each participant’s weight prior to beginning the intervention (of a walking program alternating with resistance training). After a month of the treatment, all of the participants are weighed again. Which statistical test should the researcher select to determine the effect of his intervention on weight loss? Answer s: Independent samples t -test Paired t -test Pearson’s correlation coefficient ( r ) Response Question 9 Which statement is true about chi-square analysis? Answer s: It has the assumption of a normal distribution It is a parametric test. It is used for two nominal variables Response Question 10 A researcher sets the significance level ( α) at .01. If the results of the statistical analysis reveal a p -value of .01, the researcher should [a] the null hypothesis. The potential error that the researcher is making is a Type [b] error. Response Question 11
What must be done to decrease the chances of Type I and Type II errors? Answer s: Measure the sample characteristics Decrease the sample size. Increase the sample size. Decrease the number of variables. Response Question 12 The statistical procedure most commonly used for prediction is _____________. Answer s: standard deviation Chi-square test of independence t -test regression analysis Response Question 13 In a research study on number of hours parents spent at children’s sporting events and number of incarcerations that the offspring experienced by age 30, the calculated Pearson’s r was –.95. What does this Pearson’s value signify? Answer s: a. As the hours of parents spent at children’s sporting events increased, the number of incarcerations that the offspring experienced by age 30 declined b. As the hours of parents spent at children’s sporting events increased, the number of incarcerations that the offspring experienced by age 30 increased c. There was no relationship between the number hours of
parents spent at children’s sporting events and the number of incarcerations that the offspring experienced by age 30 Response Feedback: page 546 Question 14 In a study, a researcher finds that as A increases, B also increases. The analysis shows that the strength of the relationship is 0.78. What type of linear relationship is
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- Winter '17
- Denise Cauble
- Statistics, researcher, Statistical significance