wo men, A and B, who usually commute to work together decide to conduct an experiment to see whether one route is faster than the other. The men feel that their driving habits are approximately the same, so each morning for two weeks one driver is assigned to route I and the other to route II. The times, recorded to the nearest minute, are shown in the following table. Using this data, find the 98%98%confidence interval for the true mean difference between the average travel time for route I and the average travel time for route II.

Let d=(route I travel time)−(route II travel time)d=(route I travel time)−(route II travel time). Assume that the populations of travel times are normally distributed for both routes.

Step 1 of 4: Find the mean of the paired differences, d‾‾. Round your answer to one decimal place.

Step 2 of 4: Find the critical value that should be used in constructing the confidence interval. Round your answer to three decimal places.

Step 3 of 4: Find the standard deviation of the paired differences to be used in constructing the confidence interval. Round your answer to one decimal place.

Step 4 of 4: Construct the 98% confidence interval. Round your answers to one decimal place.

....lower endpoint...upper endpoint

GL0402- Based on Problem 4-1A LO C3, P2, P3

On April 1, 2017, Robert King created a new travel agency, King Travel. The following transactions occurred during the company’s first month.

Information for month-end adjustments follows:

1. Two-thirds (or $100) of one month’s insurance coverage has expired.
2. At the end of the month, $950 of office supplies are still available.
3. This month’s depreciation on the computer equipment is $370.
4. Employees earned $616 of unpaid and unrecorded salaries as of month-end.
5. The company earned $1,810 of commissions that are not yet billed at month-end.

Income Statements, Balance Sheet

On April 1, 2017, Jiro Nozomi created a new travel agency, Adventure Travel. The following transactions occurred during the company’s first month.

Information for month-end adjustments follows:

Two-thirds (or $133) of one month’s insurance coverage has expired.

At the end of the month, $600 of office supplies are still available.

This month’s depreciation on the computer equipment is $500.

Employees earned $420 of unpaid and unrecorded salaries as of month-end.

The company earned $1,750 of commissions that are not yet billed at month-end.

Prepare the required journal entries, adjusting entries, and closing entries for Adventure Travel.

Journal entry worksheet

.....

After rigorous field survey, the insurance company finds that the probability to have cancer is 10% on average. The company offers a fixed rate policy where the premium is $1,000. Reimbursement is $9,000, which is the amount of medical expense you must pay if you get cancer. Suppose there are two types of customers: heavy smoker, who has a probability of 15% of getting cancer. Nonsmoker, who has a probability of 5% of getting cancer.

A) Assuming utility function is ?? = ?? , where x is the amount of money. Calculate utilities for both heavy smoker and nonsmoker. Who will be buying the insurance?

B) What is the expected profit for the insurance company?

On July 1, $12,000 rent on building is paid for the months of July, August, and September. Merchandize inventory $40,000 is purchased on account. The company uses perpetual inventory system. On July 1, $20,000 is borrowed from a local bank, and a note payable is signed. Credit sales for the month are $62,000, The cost of merchandize sold is $38,000. $2,000 is paid on account for office supplies. $55,000 is collected from customers on account. $10,000 is paid to employees for wages in July. A bill of $3,000 is received from utility company for the month of July. A customer paid $9,000 for merchandize to be delivered in August and September. The company paid $1,000 as dividend to its shareholders.

BE CLEAR AND NEAT, DON"T USE OTHER PEOPLE's Solutions for an UP VOTE!

A company that manufactures pavers used in residential landscaping. The company guarantees that the paver average weight is no more than 10kg. However, recently the company has received many complaints that the pavers are heavier than expected. In an effort to address the customers complaints, the quality control manager selected a random sample of 40 pavers. The average and standard deviation obtained from this sample are 10.3kg and 3.1 kg, respectively. At α = 0.10, can it be concluded the pavers average weight is higher than 10kg? Use the critical value/rejection point method.

[The following information applies to the questions displayed below.]

Please show work:

Minnesota Financial is a subsidiary of Mayberry Enterprises. Processing loan applications is the main task of the corporation. They charge a $500 fee for every loan application processed. Next year's fixed costs have been projected as follows: sales and advertising $40,000; building rental, $18,000; Depreciation of computers and office equipment $27,000; and other fixed costs, $5,000. The projected variable costs include: loan officer’s wages, $27 per hour (a loan application takes 5 hours to process); supplies $16.40 per application; and other variable costs, $8.60 per application. (Round all answers to the closest full number)

Questions:

1. Determine the number of loan applications the company must process to (a) break even and (b) earn a profit of $50,000 (round to the closest full number).

2. Determine the number of loan applications the company must process to earn a target profit of $50,000 if fixed costs increase by $10,000.

3. Assuming the original fixed cost information and assuming that 500 loan applications are processed, compute the loan application fee the company must charge if the target profit is $75,000.

4. If 750 loan applications is the maximum number her staff can handle. How much more (less) can be spent on promotional costs if the highest fee tolerable to the customer is $600, if variable costs cannot be reduced, and if the target net income for such an application load is $100,000?

Twenty-five volunteer athletes participated in a study of cross-disciplinary athletic abilities. The group comprised athletes from football, baseball, water polo, volleyball, and soccer. None had ever played organized basketball, but did acknowledge interest and some social participation in the game. Height (inches), weight (pounds), and speed in the 100-yard dash (seconds) were recorded for each subject. The basketball test consisted of the number of field goals that could be made in a 60-min. period. The data are given in Athlete.jmp on Blackboard. We are interested in predicting GOALMADE using some combination of WEIGHT, HEIGHT, DASH100.

3) Using JMP output from above, do any of the input variables (HEIGHT, WEIGHT, DASH100) exhibit collinearity?

4) Now, we want to determine if the variables WEIGHT and/or HEIGHT should be added to the model that already contains DASH100 to explain GOALMADE. Write the full and reduced models; then perform the appropriate test. (Please show your expanded ANOVA table, but you do not need to state your hypotheses explicitly.)

5) Finally (without running any more JMP output), determine if the variable DASH100 is useful in explaining GOALMADE when HEIGHT and WEIGHT are already in the model. State the test-statistic, p-value, and conclusion only

JMP DATA:

W H D G

130   71   11.5   15
149   74   12.23   19
170   70   12.26   11
177   71   12.65   15
188   69   10.26   12
210   73   12.76   17
223   72   11.89   15
170   75   12.32   19
145   72   10.77   16
132   74   11.31   18
211   71   12.91   13
212   72   12.55   15
193   73   11.72   17
146   72   12.94   16
158   71   12.21   15
154   75   11.81   20
193   71   11.9   15
228   75   11.22   19
217   78   10.89   22
172   79   12.84   23
188   72   11.01   16
144   75   12.18   20
164   76   12.37   21
188   74   11.98   19
231   70   12.23   13