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- Suppose researchers at an abdominal transplant clinic are concerned about the rate of graft loss due to diabetes status prior to receiving a donor kidney. Research has shown that gender discordance, or receiving a gender from a donor of an opposite gender may increase the risk of both exposure and outcome after transplant. Assume the following tables represent the stratified analysis of the potential confounding variable. (9 points) Gender Discordance Graft Failure No Graft Failure Total Diabetes II 23 10 33 No Diabetes II 4 44 48 Total 27 54 81 Gender Concordance Graft Failure No Graft Failure Total Diabetes II 9 34 43 No Diabetes II 12 87 99 Total 21 121 142 A) Calculate the stratum specific estimates for the odds ratios in each strata. B) Observe the difference in the odds ratios. Based on observation alone, what are we likely to conclude regarding the relationship between outcome and exposure…A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n=5 in each sample. One group gets no drug, one group gets s small dose, and the third group gets a large dose. The psychologist records the activity level for each animal. The data from this experiment are presented below. No drug Small dose Large dose 5, 3 , 1 , 1 , 5 5, 5, 9, 6, 5 10, 12, 9, 6, 8 =3, SS=16 =6, SS=12 =9, SS=20 Do these data indicate any significant differences among the three groups? Test with α=0.05. Compute the effect size and interpret the result.How would you interpret these results? 1. The effect of gender caused different levels of Stroop tas performance at different ages. 2. The effect of age caused different levels of Stroop task performance in men than women. 3. The interaction between gender and age did not affect Stroop task performance. 4. a and b 5. None of the above.
- In this study, the college instructor aims to know whether there are differences in the performance of students among the three classroom environments. We consider the _______________. as the factor variable. Also, the response variable is the _____________. which is in the ___________________. level of measurement. The students were independently and randomly assigned to each of the three classroom environments: Mozart piece, relaxation music, and silence. The p-values obtained from the Shapiro-Wilk test indicate that the assumption of ________________. was ___________________. Further, results obtained from the Levene’s test indicate that the assumption of _______________ was ________________. Considering the variable of interest and the results of the test for the assumptions, the appropriate test procedure to analyze the given data is the ________________ The appropriate set of hypotheses to test the given objective is Ho: _____________and Ha: _________________. The test yield…Education influences attitude and lifestyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n1 = 38 U.S. cities. The sample mean for these cities showed that x1 = 15.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in n2 = 37 U.S. cities. The sample mean for these cities showed that x2 = 18.1% of the young adults had attended college. From previous studies, it is known that ?1 = 6.4% and ?2 = 4.8%. Does this information indicate that the population mean percentage of young adults who attended college is higher? Use ? = 0.05. (c) Find (or estimate) the P-value. (Round your answer to four decimal places.) A random sample of n1 = 12 winter days in Denver gave a sample mean pollution index x1 = 43. Previous studies show that ?1 = 15. For Englewood (a suburb of Denver), a random sample of n2 = 16 winter days gave a…4. time to try out multiple predictor variables. take a look at the data shown here, where the outcome is becoming a great chef. we suspect that variables such as number of years of experience cooking, level of formal culinary education, and number of different positions (sous chef, pasta station, etc.) all contribute to rankings or scores on the great chef test. a. which are the best predictors of a chef’s score? b. what score can you expect from a person with 12 years of experience and a level 2 education who has held five positions?
- 14. Below we have the cell means for an experiment: Factor B B1 B2 Factor A A1 M = 2 M = 4 A2 M = 12 M = 14 a. compute the mean effect means b. is there a main effect of A? c. Is there a main effect of B? d. Is there an interaction effect of AxB?You should use a webpage to find the test stat for this problem, Also look at the p-value if the p-value is less than 0.05 there is strong evidence the variables are dependent (there is a difference in proportions). The following data set is the results of some market research were some people were shown one ending (ending 1) and other people were shown a different ending (ending 2), they were asked if they like the product (yes or no) Yes they liked the ending No they did not like the ending ending 1 15 85 ending 2 75 25 Which option below has all the correct options to the chi square test of independence?Education Influences attitude and festyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n, = 37 U.S. cities. The sample mean for these cities showed that x, 25.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in a,- 32 U.S. attes. The sample mean for these aties showed that x, = 19.6% of the young adults had attended college. From previous studies, t is known that o, - 6.H% and o, 5.6%. Does this Information Indicate that the population mean percentage of young adults who attended college Is higher? Use a = D.05. (a) what is the level of signifcance? state the null and altemate hypotheses. O Hai H, = Hi H H, H O H, H,The Jaccard's coefficient is appropriate when it is more informative to match negative outcomes between observations. True or False True False2. How do you identify which variable in a study is the factor? How do you identify the levels of a factor? How do you identify the dependent variable?Q3, just parts d, e, f. (posted a, b, c as a different question)SEE MORE QUESTIONS