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

We have a model of randomized complete block design for an experiment. yo= + Ti+ P;+ E . i= 1,.,a; j=1,...b. T is for treatment effect and / is the block effect, and & is the random error in the model. Derive E(y; - y.;) and var(y;; - y. ) under the assumption that both treatment and block factors have fixed effect.Q2. (6 points) The effect of three different lubricating oils on fuel economy in diesel truck engines was studied. Five different truck engines (Blocks) were available for the following randomized complete block design: Trucks Oil 1 2 3 4 1 5.0 6.3 4.9 3.3 5.1 2 5.4 6.8 5.2 4.4 5.4 5.1 5.9 4.9 4.0 5.1 Complete the ANOVA Table and draw your conclusion: Source of Sum of df Mean Squares F-Value Variation Squares Truck oil Residual TotalIA. The study of economics is comprised of three general areas: microeconomics, macroeconomics, and econometrics. What is econometrics? Provide a comprehensive definition of econometrics. IB. What are the two general uses of econometric models? List and briefly discuss both of these. IC. The multiple linear regression model was argued, in general, to be superior to the uni-variate linear regression model for two reasons. Considering your response to IB, discuss the two reasons the multiple regression model is superior.B. 1. C. 1/19. D. Cannot be determined; need more information (such as n). list: 9. (20 points) For each of the scenarios below, identify the most appropriate analysis from the following 1. Completely randomized design with one factor of fixed effects; 2. Completely randomized design with one factor of random effects; 3. Completely randomized design with two factors of interest; 4. Randomized complete block design for one factor of interest; 5. Latin square design; 6. Completely randomized design within each block; 7. Completely randomized design with covariates. (a) (4 points) A study compares two drugs and the placebo in patients with major depressive disorder. Patients were randomly assigned to one of these three treatments. (b) (4 points) A study looks at how the salary of accountants is related to experience (in years), ac- counts in charge of, and gender (female vs male). (c) (4 points) An industrial psychologist working for a large corporation designs a study to evaluate the effect of background music on the typing efficiency of secretaries. The psychologist selects a random sample of seven secretaries from the secretarial pool. Each subject is exposed to three types of background music and their typing performance is measured. (d) (4 points) Researchers wanted to investigate how the amount spent on homes purchased in Seattle varied by whether it was a condo or house, and whether it was sold in the spring, summer, fall, or winter. They randomly selected 100 of the homes sold in the last 2 years and recorded the season and type of the home. (e) (4 points) A researcher is interested in comparing children from 3 different school districts with respect to their math skills. She samples children from each of the districts, obtains their age and gives each of them a standardized math exam. 10. (5 points) In a study published in Sprinthall (1990), a researcher is interested in whether or not a significant trend exists regarding the popularity of certain work shifts among police officers. A random sample of 60 police officers is selected from a large metropolitan police force. The officers are asked to indicate which of three work shifts they preferred. The results show that 40 officers prefer the first shift, 10 prefer the second shirt, and 10 prefer the third shift. Do the results deviate significantly from Page 5