1. Statistical analysis involves the following type(s) of analysis? a. Descriptive Analysis b. Differences Analysis c. Associative Analysis d. Predictive Analysis e. All of the above 2. Differences analysis involves: a. Summarize the data b. Draw conclusions about population parameters from sample data c. Examine group differences in means d. Determine associations between two or more variables e. Forecast a variable, using other variables in a data set 3. Inferential analysis involves: a. Summarize the data b. Draw conclusions about population parameters from sample data c. Examine group differences d. Determine associations between two or more variables e. Forecast a variable, using other variables in a data set 4. Predictive analysis involves: a. Summarize the data b. Draw conclusions about population parameters from sample data c. Examine group differences d. Determine associations between two or more variables e. Forecast a variable, using other variables in a data set 5. What is a Hypothesis? a. Proposition b. Supposition c. Statement d. May include all a, b, and c but it is also empirically testable e. May include all a, b, and c but it is not empirically testable 6. What is a Null Hypothesis? a. A testable statement about no difference b. A testable proposition about no relationship c. A testable supposition about status quo d. All of the above 7. What is an Alternate Hypothesis? a. A testable statement about significant difference b. A testable proposition about significant relationship c. A testable supposition about no status quo d. All of the above 8. When representing a Hypothesis as a mathematical relationship, we use? a. Parameter Symbols b. Statistic Symbols c. Can use either d. None of the above 9. If sample size is < 100, it is more appropriate to use? a. z- statistic approach b. t- statistic approach c. p- statistic approach d. f- statistic approach 10. If sample size is > 100, it is more appropriate to use? a. z- statistic approach b. t- statistic approach c. p- statistic approach d. Either a or b can be used with no difference 11. In one-sample t-test, we: a. Compare group mean for a variable with a test value, for statistical difference b. Compare means of two different variables from the same group, for statistical difference c. Compare means of two different groups for the same variable, for statistical difference d. All the above e. None of the above 12. In paired-sample t-test, we: a. Compare group mean for a variable with a test value, for statistical difference b. Compare means of two different variables from the same group, for statistical difference c. Compare means of two different groups for the same variable, for statistical difference d. All the above e. None of the above 13. In independent-sample t-test, we: a. Compare group mean for a variable with a test value, for statistical difference b. Compare means of two different variables from the same group, for statistical difference c. Compare means of two different groups for the same variable, for statistical difference d. All the above e. None of the above 14. What type of test is reported in the above SPSS output-1? a. one-sample t test b. paired sample t test c. independent sample t test d. dependent sample t test e. unpaired sample t test 15. What is the respective sample mean and test value in the above SPSS output-1? a. 37.865 and 50 b. 13.773 and 50 c. 89 and 88 d. -8.0312 and -12.1348 e. unpaired sample t test 16. Is the difference between sample mean and test value in the above SPSS output-1? a. Not significant b. Significant 17. Does the 95% confidence interval around the mean difference, between the sample mean and test value in the above SPSS output-1, captures the value of "0" or no difference? a. Yes b. No 18. What type of test is reported in the above SPSS output-2? a. one-sample t test b. paired sample t test c. independent sample t test d. dependent sample t test e. unpaired sample t test 19. Which two values we will be directly comparing for difference in the above SPSS output-2? a. 4.37 and 3.08 b. .68 and 1.40 c. 1.58 and 1.00 d. .0677 and .14 e. All the above 20. Is the difference between two means in the above SPSS output-2 significant and why? a. No, p > .05 b. Yes, p < .05 21. Assume the above sample means are for rating two banks, SBI and CITI, on overall satisfaction for their service by the females in the data set. Based on the test of difference between two means from the same group (females) in the above SPSS output-2, is there a significant difference in how women perceive the service of the two banks? a. No b. Yes 22. What type of test is reported in the above SPSS output-3 tables? a. one-sample t test b. paired sample t test c. independent sample t test d. dependent sample t test e. unpaired sample t test 23. What are the respective sample means of Business Persons and Salaried Persons on overall satisfaction with CITI, from the SPSS output-3 tables? a. 31 and 57 b. .751 and .389 c. -2.118 and -2.065 d. 1.47 and 1.35 e. 3.10 and 2.44 24. Based upon the SPSS output-3, and the respective F and p values in the Levene's Test for Equality (Homogeneity) of Variances between the two groups (business & salaried), what should we assume to interpret out independent samples t test for difference in overall satisfaction with CITI, about the variances among the two groups? a. Equal variances assumed b. Equal variances not assumed 25. What are the respective t and p values for the difference between two groups in overall satisfaction with CITI, from the SPSS output-3 based on Levene's Test for Equality (Homogeneity) of variance? a. -2.118 and .037 b. -2.065 and .043 c. 2.74 and 2.87 d. .563 and .560 e. None of above 26. What do the respective t and p values for the difference between Business and Salaried people in overall satisfaction for CITI, from your SPSS output-3 based on Levene's Test for Equality (Homogeneity) of variance, tell you about the difference? a. significant b. not significant 27. What does a p value tells you? a. locates a data point in the distribution b. gives the probability of null hypothesis being true at a certain accuracy level c. tests the significance of a statistic to accept or reject the null hypothesis d. all the above e. none of the above 28. The F value is a ratio of, between the group's variance to within the group's variance, and is used in testing multiple group differences such as in ANOVA or testing whether the data fits the linear model as in Regression Analysis. Is this statement true or false? a. False b. True