Achievement test scores in science were recorded for 9 students. A researcher must judge if there is sufficient evidence for the population median being different than 77 using a = 0.05. What research analysis is appropriate here? 1. Wilcoxon 2. Mood's Median 3. Mann-Whitney 4, Kruskal-Wallis 5. None of the above

Achievement test scores in science were recorded for 9 students. A researcher must judge if there is sufficient evidence for the population median being different than 77 using a = 0.05. What research analysis is appropriate here? 1. Wilcoxon 2. Mood's Median 3. Mann-Whitney 4, Kruskal-Wallis 5. None of the above

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter13: Regression And Forecasting Models

Section: Chapter Questions

Problem 40P: The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels....

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The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?
8. Suppose the population is normally distributed. Specify the appropriate hypothesis test and determine the appropriate critical z or t point(s) for each of the following tests concerning the population mean : (a) upper-tailed test: a - 0.025, n - 25,_ - 3.0. (b) lower-tailed test: a - 0.05, n - 30, s - 9.0. (c) two-tailed test: a - 0.02, n - 5I, s - 6.5. (d) two-tailed test: a - 0.10, n - 36, - 3.8.
Figure 1 shows the general discriminatory test for health status prediction. "Perfect test cut-off True negative; TN (specificity) True positive; TP (sensitivity) False negative (FN) False positive (FP) Healthy Sick (a) Test cut-off Moving cut-off to left reduces false negatives (higher specificity) at cost of reduced sensitivity Moving cut-off to right reduces false positives (higher sensitivity) at cost of reduced specificity TN TP FN FP Healthy Sick (b) Figure 1. The Discriminatory Test with (a) A Good Discrimination Test Cut-off, and (b) A Bad Discrimination Test Cut-off i. What is your next action, if you obtain a perfect discriminatory test result (where both false negative and false positive rate are near zero) during model training? Justify your action. ii. In which phase of machine learning methodology do you move the test cut-off point as shown in Figure 1(b)? Justify why you should do that.
As employees leave a company, they are asked to rate their level of job satisfaction during the time they were employed by the company. A sample set of scores (out of a maximum of 10) is provided below. 3 6 4 4 5 2 1 3 2 5 3 7 2 2 3 1 9 1 Use the information provided in the table to calculate: The median; The mode; The mean; The lower quartile (Q1); The upper quartile (Q3); The interquartile range (IQR); The standard deviation. State whether or not the ex-employees were likely to have left the company as a result of lack of job satisfaction. Use the statistics above to justify your conclusion. Discuss in which ways the company could benefit from making these statistics available to its current employees.
(a) Assuming that a simple linear regression model is appropriate, obtain the least squares fit relating selling price to taxes paid. What is the estimate of o²? (b) Find the mean selling price given that the taxes paid are x = 7.50. (c) Calculate the fitted value of y corresponding to x = 5.8980. Find the corresponding residual.
q10- What is the best description of Granger-causality? Select one: a. the ability of lags of one variable to contribute to the forecast of another variable b. the ability of a variable to predict its own future c. the ability of the one variable to explain it own past d. None of the above Clear my choice
STAT 382 (page 3 of 10)-Google Chrome arn.squ.edu.om/mod/quiz/attempt.php?attempt D17403728icmid 8666708page-2 E-LEARNING SYSTEM (ACADEMIC) me Series forecasting for Business || Spring21 Time left 0:30:09 stion The predicted monthly sales for a company over the first six months of 2010 are 360, 385, 275, 300, 312, and 307. Find the standard deviation. put of O A. 33.74 O B. 41.04 O C. 40.72 O D. 41.72 IOUS PAGE NEXT PAGE
Cick on The x C blever | Portal Freckle Student Dashboard Dashboard 6 BigBlueButton Independern x udent.freckled Clever | Portal clever.com Probability -1r You can earn'S coins Eunice selected a random sample of Seattle residents and polled them about traffic solutions. Which population could Eunice draw conclusions about? A) entire Seattle population B) Seattle homeowners C) Seattle residents who own a car D) Seattle residents who take the bus A B Submit rch
A sample of twenty automobiles was taken, and the miles per gallon (MPG), horsepower, and total weight were recorded. Develop a linear regression model to predict MPG using horsepower as the only indepen- dent variable. Develop another model with weight as the independent variable. Which of these two models is better? Explain. MPG 44 44 40 37 37 34 35 32 30 28 26 26 25 22 20 21 18 18 16 16 4 HORSEPOWER 67 50 62 69 66 63 90 99 63 91 94 88 124 97 114 102 114 142 153 139 WEIGHT 1,844 1,998 1,752 1,980 1,797 2,199 2,404 2,611 3,236 2,606 2,580 2,507 2,922 2,434 3,248 2,812 3,382 3,197 4,380 4,036
page 4 of 19) - Google Chrome squ.edu.om/mod/quiz/attempt.php?attempt3D1245076&cmid%3663426&page%3D3 earning System (Academic) erations Management || fall20 Quiz stion 4 Mean Absolute Deviation (MAD) is the always the best in assessing a forecast model accuracy yet vered Select one: ked out of O a. True O b. False Hajir lag question 13 Next page 10 19
d. Now based on regression analysis predict the number of patients that Dr. Fok will see in year 11 and 12 based on the forecasted Robbery Rate - year 11 is 117.1 and year 12 is 120.8. e. What is the MAD? f. What is the correlation Coefficient – r-value? % g. Based on the overall analysis, how well does each model fit the data?
8. assignment variable at which the treatment status does NOT change In Regression Discontinuity framework, the cutoff is defined as the level of the True False 9. What regression equation do we use for regression discontinuity framework? a) Y = Bo + B1 T + B2Xu+ Ei b) Y = Bo + B,T+ B2C + ei c) Y, = Bo + B, T+ B2 (Xi-C) + ei d) Y, = Bo + B1T + B2 (Xu + C) + € 10. Regression Discontinuity Design accomplices apples-to-apples comparison by comparing individuals as far from the cutoff as possible. True False