NURS 5366 / NURS5366
TEST 5 QUESTIONS AND ANSWERS
· Question 1
What must be done to decrease the chances of Type I and Type II errors?
· Question 2
Which statement is true about chi-square analysis?
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NURS 5366 / NURS5366
TEST 5 QUESTIONS AND ANSWERS
· Question 1
What must be done to decrease the chances of Type I and Type II errors?
· Question 2
Which statement is true about chi-square analysis?
· 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?
· 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?
· Question 5
Which of the following correlation coefficients shows the strongest relationship?
· Question 6
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?
· Question 7
Which of the following tests is essentially a comparison of means?
· Question 8
A Type I error occurs when the researcher concludes that there is a significant effect when there is no significant effect.
· Question 9
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.
· Question 10
Descriptive statistics should be reported in every study for which of the following reasons?
· Question 11
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(9)=2.84, p=.045. What do these results mean?
· Question 12
A nurse in a cardiovascular ICU developed an intervention that she believes can reduce patient time on the ventilator post-operatively. She recruits study participants from the offices of cardiovascular surgeons. She randomizes the participants to two groups, a treatment group and a control group. She provides a novel teaching intervention along with a spirometer to each participant in the treatment group one week prior to their surgery. Participants in the control group received customary care. After each participant’s surgery, the researcher records the number of hours that they are on the ventilator post-operatively. Which statistical test should she select to determine the effects of her intervention on time spent on ventilator post-operatively?
· Question 13
The statistical procedure most commonly used for prediction is _____________.
· Question 14
A pediatric nurse is interested in research on a new medication used to treat seizures in children. She reviews a study of the new drug where researchers randomized 50 children to receive either the new seizure drug (treatment group) or Phenobarbital (control group). The researchers followed both groups for the next three months and monitored the number of seizures that the participants had. They reported that the treatment group had fewer seizures (t = 2.25, p = .045 (with alpha set at .05). The nurse correctly determines that children who received the new drug had significantly fewer seizures than those who received Phenobarbital.
· Question 15
A nurse is reading a journal article on the effects of patient incivility on nursing burn-out. The results of the study were r = 0.50, p = .04 (with alpha set at .05). The nurse correctly summarizes that:
· Question 16
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?
· Question 17
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 this?
· Question 18
A researcher collects a nationally based set of data about cholesterol levels and age at first circulatory incident (myocardial infarction or cerebrovascular accident). The researcher performs a linear regression analysis to find out all of the following except:
· Question 19
A researcher wants to examine the relationship between post-partum depression and maternal age. She recruits 50 women who have given birth within the last 3 months from the WIC (Women, Infants, & Children Food and Nutrition) office. She collects demographic information from each woman (including age, race/ethnicity, and educational achievement) as well as administering a post-partum depression survey. Which of the following statistical tests should she select for her analysis?
When there is an outlier in the data set, which measure of central tendency is effected the most?
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