Question 1 -
1. Non-parametric tests have fewer ________ than parametric tests.
2. It is possible for expected frequencies in a chi-square goodness-of-fit test to be fractional numbers.
A. True
B. False
3. The degrees of freedom for a chi-square goodness-of-fit test depend on the number of _______ in the study.
4. You are interested in comparing upper level and lower level student responses to the their preference of when they prefer to study. Both student groups are asked to pick between three choices: morning, afternoon, and evening. Given this information, how many degrees of freedom will there be for a chi-square goodness-of-fit test?
5. What is the critical value for chi-square with 7 degrees of freedom and an alpha of 0.001? Provide your answer with a level of accuracy of 3 decimal places.
6. What is the expected frequency of AB blood type given an N = 256 and the percentages of O blood type of 44%, A blood type of 33%, B blood type of 18%, and AB blood type of 5%. Provide your answer with a level of accuracy of 1 decimal place.
7. A total of 252, 205, 198, and 370 patients were discharged home following hospitalization from motor vehicle, falls, assault, and pedestrian-related trauma. A total of 75, 42, 94, and 129 patients died in hospital from the same injuries. Calculate the Chi-Square statistic for this distribution. Provide your answer with a level of accuracy of 2 decimal places.
8. You recently interviewed 89 patients prior to discharge from hospital. Using a standardized assessment test you screened each patient for positive symptoms of acute stress for purposes of following up with each patient to identify whether these symptoms were or were not still present after 6 months. Sixty four patients were interviewed after 6 months. Of these, 23 individuals who had positive test scores in hospital had positive test scores at 6 months, 13 individuals with positive scores in hospital had negative scores at 6 months, 7 persons with negative scores in hospital had positive scores at 6 months, and 21 persons had negative scores at both times. Using an alpha of 0.05, can we reject the null hypothesis that there is no relationship between early and late stress responses?
A. Yes
B. No
9. You are tasked to identify whether there is or is not a relationship between a disease risk factor and later onset of an adverse event. Reviewing patient charts, you found that 34 patients who were exposed the risk factor later displayed disease symptoms. However, you also found that 18 patients that were also exposed did not display disease symptoms. A total of 12 patients who were not exposed to the risk factor displayed disease symptoms. Twenty four patients who were not exposed did not display any disease symptoms. Report Cramer's V for this distribution. Provide your answer with a level of accuracy of 2 decimal places.
10. For the distribution identified in question 9, would it be most accurate to report that this effect was small, medium, or large, basing your responses by rounding to the nearest value in Cramer's table.
A. Small
B. Medium
C. Large
Question 2 -
1. The average weight of females between the ages of 65 and 75 who undergo hip fracture surgery within all level I hospitals in the US is 140 lbs, with a standard deviation of 8 lbs. If a nurse researcher wishes to only enroll women who are at least 160 lbs in an exercise and strength training program weight loss program, what percentage of female population within this age range is eligible for recruitment? Report your answer within a level of accuracy to 1 decimal point.
2. A research assistant is sitting in the emergency department as part of an effort to enroll patients in a survey of satisfaction with hospital wait times. To be representative, she wants to make sure she approaches a representative proportion of racial/ethnic patients in the study. The % of persons admitted to the ED was 65% white, 30% black, 3% Hispanic and 2% other. What is the probability that the next person who enters the ED will be Hispanic or black? Report your answer within a level of accuracy of 2 decimal places.
3. Report the standard normal probability associated with a z-value of 1.68. Recall that this is the area under the standard normal curve to the left of z. Provide your answer within a level of accuracy of 3 decimal places.
4. If Beta = 0.90, then power = ______. Provide your answer within a level of accuracy of 2 decimal places.
5. If n1 = 34, and n2 =42, what is the critical value of t for an independent-sample t test, two-tailed, given an alpha of 0.01? Provide your answer with a level of accuracy of 3 decimal places.
6. Given a dfsubjects = 125, dftreatments = 5, dfresidual = 78, dftotal = 208, SSsubjects = 89.56, SStreatment = 112, and SSresidual = 874.1, what is the F Ratio? Provide your answer with a level of accuracy of 1 decimal places.
7. You wish to explore the relationship between two variables, X and Y, for 17 patients. In order (from patient 1 through patient 17), their corresponding values for X are: 9, 15, 10, 16, 10, 20, 11, 20, 15, 15, 8, 13, 18, 10, 8, 10, 16 and the matching (corresponding) values of Y: 45, 57, 45, 51, 65, 88, 44, 87, 89, 59, 66, 65, 56, 47, 66, 41, 56. (e.g. the value of X for patient #12 is 13 and their value of Y is 65). Given this information, calculate r. Provide your answer with a level of accuracy of 2 decimal places.
8. You wish to explore the relationship between two variables, X and Y, for 21 patients for purposes of predicting the value of Y, given the value of X. In order (from patient 1 through patient 21), their corresponding values for X are: 12, 11, 19, 15, 15, 20, 6, 15, 19, 14, 13, 17, 20, 11, 20, 20, 20, 9, 8, 16, 10 and the matching (corresponding) values of Y: 58, 47, 64, 97, 55, 51, 61, 69, 79, 71, 62, 87, 54, 43, 92, 83, 94, 60, 56, 88, 62. (e.g. the value of X for patient #6 is 20 and their value of Y is 51). Given this information, what is the value of the slope for the regression equation? Provide your answer with a level of accuracy of 2 decimal places.
9. What is the critical value for chi-square with 12 degrees of freedom and an alpha of 0.05? Provide your answer with a level of accuracy of 3 decimal places.
10. You recently interviewed 89 patients prior to discharge from hospital. Using a standardized assessment test you screened each patient for positive symptoms of acute stress for purposes of following up with each patient to identify whether these symptoms were or were not still present after 6 months. Sixty four patients were interviewed after 6 months. Of these, 23 individuals who had positive test scores in hospital had positive test scores at 6 months, 13 individuals with positive scores in hospital had negative scores at 6 months, 7 persons with negative scores in hospital had positive scores at 6 months, and 21 persons had negative scores at both times. Calculate the chi-square test of independence for these data. Provide your answer with a level of accuracy of 2 decimal place.