4.99 DELIVERY TIMES FOR ONLINE ORDERS. Refer to theJournal of Marketing Research (October 2019) study of deliverytimes for online orders, Exercise 2.88 (p. 88). Recall that amajor apparel retailer has two distribution centers (DCs) tofulfill all its online orders - one located in the eastern UnitedStates and one in the western United States. Based on the study,we can assume that the delivery time x (in business days) foronline orders fulfilled by the eastern DC is normally distributedwith mean μ = 5.22 and standard deviation = 77. Similarly,assume that the delivery time x for online orders fulfilled by thewestern DC is normally distributed with mean = 6.95 andstandard deviation σ = .55.a. For online orders filled by the eastern DC, findP(x ≤ 5).b. For online orders filled by the eastern DC, findP(4≤ x ≤7).NW c. For online orders filled by the eastern DC, findthe value a, so that P(x > a) = .30.d. Repeat parts a-c for online orders filled by thewestern DC.

According to tje guidelines, we are allowed to slove only three subparts.please repost the…

Answered: 4.99 DELIVERY TIMES FOR ONLINE ORDERS.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 9.7% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. Assuming his suspicion that 9.7% of his customers buy a magazine is correct, what is the probability that exactly 6 out of the first 13 customers buy a magazine? 0.000305894 0.00100664 0.000699781 0.000778757 0.000204114 0.000326183
en 000 Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. Complete parts (a) through (e) below. E Click the icon to view the data on program per-year tuition and mean starting salary. a. Construct a scatter plot. Choose the correct graph below. OA. O B. В. OC. OD. O D. Q 80,000- 80,000- TOLL 200,000- 200,000- 0- 0+ 04 200,000 Starting Salary (S) 80,000 200,000 Starting Salary (S) 80,000 Tuition ($) Tuition ($) b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients…
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A corporation owns several companies. The strategic planner for the corporations believes dollars spend on advertising can to some extend be a predictor of total sales dollars. As an aid in long-term planning, she gathers the following sales and advertising information from several of the companies for 2017 ($ millions). Advertising Sales12.5 1483.7 5521.6 33860.0 99437.6 5416.1 8916.8 12641.2 379 i. Based on the output given, develop the equation of the simple linear regression line to predict sales from advertising expenditures using this data.ii. Explain the values of r and r 2 .iii. Predict the sales if the advertising expenditures is 50 ($ millions).iv. Do the data support the existence of a linear relationship between advertising…
A consulting group recently conducted a global survey of product teams with the goal of better understanding the dynamics of product team performance and uncovering the practices that make these teams successful. One of the survey findings was that 32% of organizations have a coherent business strategy that they stick to and effectively communicate. Suppose another study is conducted to check the validity of this result, with the goal of proving that the percentage is less than 32%. Complete parts (a) and (b) below. a. State the null and research hypotheses. Identify the null and alternative hypotheses. O A. Ho: as0.32; H,: a>0.32 O B. Ho: 120.32; H: <0.32 OC. Hoi a#0.32; H: =0.32 O D. Ho: 1=0.32; H4: n#0.32 b. A sample of 200 organizations is selected, and results indicate that 58 organizations have a coherent business strategy that they stick to and effectively communicate. Use the p-value approach to determine at the 0.05 level of significance whether there is evidence that the…
The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 8.7% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. (b) Assuming his suspicion that 8.7% of his customers buy a magazine is correct, what is the probability that exactly 3 out of the first 14 customers buy a magazine? Give your answer as a decimal number rounded to two digits.
In an article in the Journal of Marketing, Bayus studied the differences between "early replacement buyers" and "late replacement buyers" in making consumer durable good replacement purchases. Early replacement buyers are consumers who replace a product during the early part of its lifetime, while late replacement buyers make replacement purchases late in the product's lifetime. In particular, Bayus studied automobile replacement purchases. Consumers who traded in cars with ages of zero to three years and mileages of no more than 35,000 miles were classified as early replacement buyers. Consumers who traded in cars with ages of seven or more years and mileages of more than 73,000 miles were classified as late replacement buyers. Bayus compared the two groups of buyers with respect to demographic variables such as income, education, age, and so forth. He also compared the two groups with respect to the amount of search activity in the replacement purchase process. Variables compared…
3
5. A psychologist at a private psychiatric hospital was asked to determine whether there was any clear difference in the length of stay of patients with different categories of diagnosis. Looking at the last four patients in each of the three major categories, the results (in terms of weeks of stay) were as follows: Diagnosis Category Cognitive Disorders 12, Affective Disorders Drug-Related Conditions 7. 8. 6. 8. 10 5. 6. 12 11 10 Mı=6 M2 = 10 M3 = 10 %3D %3D SS, = 2 SS2 = 10 SS2 = 8 SSBetween= 42.67 a. What test are you going to perform? b. List the hypotheses c. List the decision rule d. Perform the ANOVA e. Complete the ANOVA table Source SS df MS Between Within Total f. Report your ANOVA result in APA format.
Again recall Table 8a from the working paper "The Market for Financial Advisor Misconduct" discussed in Lecture 7 and HW 7. For your convenience, the table is reproduced below. Table 8a. Consequences of Misconduct: Industry and Firm Discipline No Misconduct Misconduct Remain with the Firm 81.29% 51.99% Leave the Firm 18.71% 48.01% Leave the Industry 8.92% 26.96% Join a Different Firm (within 1 year) 21.05% 9.79% Note: Table 8a displays the average annual job turnover among financial advisers over the period 2005-2015. The table shows, on average, the percentage of advisers that remain with their firm, leave the industry (for at least one year) or join a new firm (within a year). The job transitions are broken down by whether or not the advisor was disciplined for misconduct in the previous year. Consider randomly selecting five financial advisors who were disciplined for misconduct in the previous year. What is the chance that at least one of them leaves the firm? (Answer as a…
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