​Three students want to open an ice cream business next summer. Max thinks that demand will be high and they should purchase a large stand and acquire premium ice cream equipment. Minnie feels that demand will be low and that they should purchase a tarp and some basic hand tools to make the ice cream. Midsy is pretty sure that demand will fall in-between these two extremes, so they can get by with a shack and a used ice cream machine. You are their business consultant and estimated the following costs, revenues, and probabilities of each level of demand in the table shown below. What is the expected profit for this venture?

Suppose an environmental agency would like to investigate the relationship between the engine size of​ sedans, x, and the miles per gallon​ (MPG), y, they get. The accompanying table shows the engine size in cubic liters and rated miles per gallon for a selection of sedans. The regression line for the data is y hat=36.7920−4.1547x.

Use this information to complete the parts below.

Engine Size   MPG
2.4 27
2.1 31
2.3 26
3.4 22
3.5 24
2.2 28
2.2 24
2.1 29
3.9 20

a) Calculate the coefficient of determination. R²=? (Round to three decimal places as​ needed.)

b) Using α=0.05​, test the significance of the population coefficient of determination.

Determine the null and alternative hypotheses.

c) The​ F-test statistic is? ​(Round to two decimal places as​needed.)

d) the p-value is? ​(Round to three decimal places as​needed.)

e) Construct a​ 95% confidence interval for the average MPG of a 2.5​-cubic liter engine.

UCL= ? ​(Round to two decimal places as​ needed.)

LCL= ​? (Round to two decimal places as​ needed.)

f) Construct a​ 95% prediction interval for the MPG of a 2.5​-cubic liter engine.

UPL= ? ​(Round to two decimal places as​ needed.)

LPL= ? ​(Round to two decimal places as​ needed.)

An employee of a small software company in Minneapolis bikes to work during the summer months. He can travel to work using one of three routes and wonders whether the average commute times (in minutes) differ between the three routes. He obtains the following data after traveling each route for one week.

Use Tukey’s HSD method at the 5% significance level to determine which routes' average times differ. (Round difference to 1 decimal place, confidence interval bounds to 2 decimal places, and p-values to 3.)

At a certain coffee​ shop, all the customers buy a cup of coffee and some also buy a doughnut. The shop owner believes that the number of cups he sells each day is normally distributed with a mean of 330 cups and a standard deviation of 23 cups. He also believes that the number of doughnuts he sells each day is independent of the coffee sales and is normally distributed with a mean of 170 doughnuts and a standard deviation of 13. Complete parts​ a) through​ c).

Question: The shop is open every day but Sunday. Assuming​ day-to-day sales are​ independent, what's the probability​ he'll sell over 2000 cups of coffee in a​ week? _____________ (round to three decimals as needed.)

Question: Whats the probability that on any given day he'll sell a doughnut to more than half of his coffee customers ? ___________ (round to three decimal places as needed).

• What is the loyalty program and how CRM works from two perspectives?

1. The first perspective is that of the cashier explaining how the ABC Convenience store loyalty program benefits customers. Be persuasive this customer signs up as you get compensation for each customer you sign up!

2. What are the three reasons from the business side? Three reasons why businesses offer loyalty programs to customers. Please include both cross-selling and up-selling as two of the tree required reasons.

• What are the two specific ways that business has helped or could help the business(Grocery store, convenience store, restaurant, clothing boutique, banking, and financial services) during the COVID19 weeks in the past and undoubtedly, in the future. Suing elements of eBusiness.

What are the type of business continuing with eBusiness after "normalcy" returns?

Problem 2: (Revised 6.3) Magazine Advertising: In a study of revenue from advertising, data were collected for 41 magazines list as follows. The variables observed are number of pages of advertising and advertising revenue. The names of the magazines are listed as:

(use sas）

Adv Revenue

25 50

15 49.7

20 34

17 30.7

23 27

17 26.3

14 24.6

22 16.9

12 16.7

15 14.6

8 13.8

7 13.2

9 13.1

12 10.6

1 8.8

6 8.7

12 8.5

9 8.3

7 8.2

9 8.2

7 7.3

1 7

77 6.6

13 6.2

5 5.8

7 5.1

13 4.1

4 3.9

6 3.9

3 3.5

6 3.3

4 3

3 2.5

3 2.3

5 2.3

4 1.8

4 1.5

3 1.3

3 1.3

4 1

2 0.3

1. Fit a linear regression equation relating advertising revenue to advertising pages. Verify that the fit is poor.
2. Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit.
3. You should not be surprised by the presence of a large number of outliers because the magazines are highly heterogeneous and it is unrealistic to expect a single relationship to connect all of them. Find outliers and high leverage points. Delete the outliers and obtain an acceptable regression equation that relates advertising revenue to advertising pages.
4. For the deleted data, check the homogeneity of the variance. Choose an appropriate transformation of the data and fit the model to the transformed data. Evaluate the fit.

Assets such as receivables, inventory, and property, plant, and equipment are the key resources used to help an organization generate revenue. Select a specific asset within these three types and discuss how a company can use this to generate revenue.

further explanation

select one of the asset accounts in the discussion topic. Provide an illustration/example of a transaction that would occur from the organization generating revenue. Clearly describe an example and reflect both the debit and credit entries one would record. Then, explain how those entries (both the debit and the credit) affect the income statement and the balance sheet. Then describe how the transaction generates revenue for the company.

First, provide a description of each of the accounts noted in the topic and explain what each one represents. Second, provide the illustration/example, and third, explain how it represents the generation of revenue. 2-3 paragraphs, minimum of 2 citations

QUESTION 19

1. Jean guesses that 35% of customers at a local grocery store will choose the self check-out lane over the full service cashier lane. Throughout one day, she gathers data by observing 228 customers in the store. She finds that 74 of them choose the self check-out lane.

Was her guess reasonable? Assume 95% confidence. (Hint: You may use either a confidence interval or hypothesis test to help you answer this question.)

QUESTION 20

1. Donte predicts that a certain team will score about 102 points per game during the current season. He gathers data from 32 randomly selected games and finds a sample mean of 96.4 points with a standard deviation of 10.8 points.

Was his guess reasonable? Assume 95% confidence. (Hint: You may use either a confidence interval or hypothesis test to help you answer this question.)

QUESTION 21

1. A teacher predicts that 33% of RCSJ students plan to take at least one course this summer. Surveying his 128 students from RCSJ, he finds that 50 of them plan to take at least one summer course.

Was his guess reasonable? Assume 95% confidence. (Hint: You may use either a confidence interval or hypothesis test to help you answer this question.)

1. A statistic is an unbiased estimator of a population parameter. This means that ...

A. ... the population mean is equal to the mean of the parameter.

B. ... the population is normal and the population mean is equal to the statistic.

C. ... the population is normal, the population mean is equal to the statistic mean, and the population standard deviation is equal to the parameter standard deviation.

D. ... the statistic mean is equal to the parameter.

2. An online survey was conducted to study cyberbullying in the UK. It was reported that 62% of young people had received nasty private messages on a social network. You randomly sample four young people from the network and ask them if they received nasty messages on the network. Find the probability that the number who received these messages is three.

A. .85 B. .36 C. .74 D. .18

3. The number of particles large enough to initiate a crack on an aircraft wing follows a Poisson distribution with mean 0.5 per square centimeter. Find the probability that a 100 square centimeter section has more than 60 of these particles.

A. .270 B. .207 C. .072 D. .027

6. In a survey of 1430 undergraduate students, 1087 reported that they had one or more credit cards. Give a 95% confidence interval for the proportion of all college students who have at least one credit card.

A. 73% to 79% B. 70% to 82% C. 65% to 60% D. 74% to 78%

7. A study compared the proportions of young women and men who use Instagram. Out of 537 women, 328 used Instagram, whereas out of 532 men, 234 used the service. Find a 95% confidence interval for the difference between the proportions of men and women who use Instagram.

A. .09 to .25 B. .10 to .24 C. .11 to .23 D. .12 to .22

8. As a result of the computation of a confidence interval with a 95% confidence level, it is reported that the proportion of American families that own more than one car is 12.4% with a margin of error of 2%. In light of this, we are 95% confident that the largest the actual proportion of such families can be is:

A. 14.4% B. 12.6% C. 12.42% D. 16.4%