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

Question 23 1 pts Which arrangment below correctly orders the procedures from most powerful to least? O Kruskal-Wallis, Friedman Fr-test, ANOVA CRD Wilcoxon Sign Rank test, Chi-Squared test for independence, One Proportion Z-test One Sample Z-test, One Sample t-test, The Sign Test Wilcoxon Rank Sum, Wilcoxon Sign Rank test, Independent t-testQUESTION 6 Two graphical displays are given for a set of data. A hypothesis test is to be performed for the mean of the population from which the data were obtained. Use the graphs to determine whether a z-test, a t-test, a Wilcoxon signed-rank test, or none of these is appropriate. A normal probability plot and a stem-and-leaf diagram of the data are given below. o is unknown. Which procedure is appropriate? Normal Score 3 21 1 - 1 -21 -3- 20 30 40 50 60 70 80 90 100 Test Score 24 3 4 2 5 25 6 057 7 12579 O t-test O O Wilcoxon signed-rank test O None of these tests is appropriate.Choose the correct statement(s) about the Runge-Kutta method. (can choose more than one answer) * Runge-Kutta method is less accurate than Euler method. Runge-Kutta is a common method for solving differential equations numerically. Runge-Kutta method used four functions k1, k2 , k3 and k4 in its evaluation. It is used more accurately than the Euler method.This assignment has three parts labeled "a" - "c" below. Complete each part of the assignment ani discussion in a Word or PDF document. Be sure to label each part to make it easy to identify. When you are nished with the assignment, submit the Word or PDF document. a. Titus Johnston's Variable Values are: SnapPercent = 96, Awards = 7, and GamesMissed = 3. How much guaranteed money does the regression iree predict that a player with Titus Johnson's prole should earn in his contract? b. Casey feels that Titus was denied an additional award in the past season due to some questionable voting by some sports media. If Titus had won this additional award, how much additional guaranteed money would the regression tree predict for Titus versus the prediction in Ma}? 0. As Casey reviews the best-pruned tree, he is conised by the leaf node corresponding to the sequence of decision rules of \"SnapPercent > 90.28, SnapPement