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. 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

What does the univariate t test tell you that the bivariate correlation test alone does not? What does the bivariate test tell you that the univariate test does not tell you? Select one: Only the univariate comparison tells you that vanilla is preferred over chocolate on average; only the bivariate analysis tells you that people who prefer vanilla more also prefer chocolate more. Only the univariate comparison tells you how to predict chocolate preference from vanilla preference; only the bivariate analysis tells you that people who prefer vanilla more also prefer chocolate more. Only the univariate comparison tells you that people who prefer vanilla more also prefer chocolate more; only the bivariate analysis tells you that chocolate is preferred over vanilla on average Only the univariate comparison tells you that the preferences for chocolate and vanilla are not different; only the bivariate analysis tells you that people who prefer vanilla more also prefer chocolate more.Consider the following conditional density function extracted from a joint bivariate normal density function. A student thinks that there is a mistake, that the two variables were uncorrelated. It the student is correct, and everything else is correct, what are the correct Hyla-3.5 and f(y | x) ~ NUbe an = 25+0.42 TE (3.5 - 3) = 2.60, Jax an = (1 -0.4')0.4" = 0.36660) Select one: A bivariate normal density with variance 0.4 and mean Q b. A univariate normal density with mean 2.5 and standard deviation 0.4 " A bivariate normal density with mean of X equal 3.5 and mean of Y equal 0.4 d. A univariate normal density with mean 0 and standard deviation 1riate Normal Distribution: Properties Marginal Distributions of Bivariate Normal Random Variables If X and Y have a bivariate normal distribution with joint probability density fxy(x, y, ox. Oy, Hy, Hy, p), the marginal probability distributions of X and Y are normal with means Hy and py and standard deviations ox and oy, respectively. (5.22) Conditional Distribution of Bivariate Normal Random Variables If X and Y have a bivariate normal distribution with joint probability density fxy(x, y, ox. Or, Hx, Hy, p), the conditional probability distribution of Y given X = x is normal with mean Hylx = Hy + P- (x- Hx) and variance ONLY = o? (1 - p? )Stochastic Processes: Multivariate Normal Distribution Result 3: (Marginal Distribution) Let X1 EN E12 Xpx1 = AN N X2 [21 22 where X1 6 179 and X2 E RP-9. Then X1- N(#1 , [11). Proof