Which inference test is appropriate for determining whether a 6-sided die is fair (that is, each number has the same probability of being rolled)? chi-square test of independence None of these tests is appropriate chi-square goodness-of-fit test chi-square test of homogeneity O O O O
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- q7- Which statement is incorrect for statistical independence between X and Y? Select one: a. The occurence of Y has no impact on the probability for the occurence of X b. If X and Y occur jointly, it is purely by chance c. The correlation between X and Y is 0 d. The correlation between X and Y is 1Previous answer was absolutely incorruResearch regarding children who've been isolated or institutionalized indicates that most of ourbehavior is...1.Genetically pre-determined2. Learned in school3. Unknown4.Based on Nurture within our environment
- How do you partial differentiate Q = 15K^1.7L^1.3 + K^3 + 5^3 alone? If you were to exclude the second questionSuppose employers care about overall productivity Z, which is made up of two components, X and Y, such that Z=X+Y (and employers know this productivity function). Suppose there are two groups (male and female) whose average Zs are the same (i.e. Z_M =Z_F), but X_M < X_F and Y_M > Y_F (and again, employers know these population averages). Researchers decide to run a resume-based audit study where they randomize names based on gender (using typically male or female names) but hold constant Y. They provide no information on X. Which of the following would suggest taste-based discrimination? ● The call-back rate is the same for both sexes. ● The call-back rate is higher for men than for women ● We can't use differences in call-back rates to find suggestive evidence of taste-based discrimination because there's too many other factors that are different across the resumes. ● The call-back rate is higher for women than for menPls answer all three question, pls explain the correct option in 5-6 sentences.
- A tea company appoints four salesmen A, B, C and D and observes their sales in three months, April, May and June: Months Salesmen A B C D April 36 36 21 35 May 28 29 31 32 June 26 28 29 29 Prepare a two – way analysis of variance table Name the blocking variable and the treatment in this experiment. Test at the 5% level of significance the null hypothesis that there is significant difference in sales made by the four salesmen Test at the 5% level of significance the null hypothesis that there is significant difference in the sales made during different months.Consider the following TSLS model, where Ability is an endogenous independent variable, while Educand Age are exogenous.Stage 1 : Ability = 0 + 1 Educ + 2 Age + 3 Expr + 4 ParEduc + 5 KWW + VStage 2 : log(Wage) = 0 + 1 Educ + 2 Age + 2 Ability + UIf we use the Sargan test, the rst-stage F test and the Hausman test together to decide whether aTSLS or an OLS would be more appropriate, ll in the following blanks: at the 5% signi cance level, the critical value for the Sargan test is blank, and the critical value forthe Hausman test is blank; if we blank (reject or fail to reject) the Sargan test, blank (reject or fail to reject) the rst-stageF test, and blank (reject or fail to reject) the Hausman test, then it is implied that we shall use theTSLS instead of the OLS estimation.A monopolist sells its product in two di§erent countries. The demand in country 1 is Q1 = 50-0.5P1, whereas the demand in country 2 is Q2 = 25-0.25P2. The firm's cost function is C(Q)=10+0.5Q2, where Q = Q1 + Q2.a) Calculate the amount of the product that the profit maximizing monopolist should sell in each country. Q1*=?, Q2*=?b) The determinantal test suggests that the firm's profit function (which one is correct) is locally concave around the critical point, but not elsewhere is globally concave is locally convex around the critical point, but not elsewhere is globally convex has a saddle point at the critical point
- Q. Which of the following is true of heteroscedasticity? Options- a. Population R-squared is affected by the presence of heteroscedasticity. b. Heteroscedasticity causes inconsistency in the ordinary least squares estimators. c. The ordinary least squares estimators are not the best linear unbiased estimators if heteroscedasticity is present. d. It is not possible to obtain F statistics that are robust to heteroscedasticity of an unknown form.question has more than one true answersenior accounting major at Midsouth State University has job offers from four CPA firms. To explore the offers further, she asked a sample of recent trainees how many months each worked for the firm before receiving a raise in salary. The sample information is submitted to Minitab with the following results: Analysis of Variance Source df SS MS F P Factor 3 28.17 9.39 5.37 0.010 Error 15 26.26 1.75 Total 18 54.43 What is the decision rule? (Round your answer to 2 decimal places.) At the 0.05 level of significance, is there a difference in the mean number of months before a raise was granted among the four CPA firms?