1. A grocery store counts the number of customers who arrive during an hour. The average over a year is 29 customers per hour. Assume the arrival of customers follows a Poisson distribution. (It usually does.) Find the probability that at least one customer arrives in a particular one minute period. Round your answer to 3 decimals. Find the probability that at least two customers arrive in a particular 2 minute period.

2. Label each as one of the following

Exponential

Poisson

Binomial

Uniform

1. a constant probability density and charts as a rectangle
2. fixed number of trials with only 2 possible outcomes and the trials are independent  
3. models the time until some specifi event occurs such as equipment failure  
4. events happen with a known average rate and independently of the time since the last event  

Parker Products manufactures a variety of household products. The company is considering introducing a new detergent. The company's CFO has collected the following information about the proposed product. (Note: You may or may not need to use all of this information, use only the information that is relevant.) · The project has an anticipated economic life of 4 years. · The company will have to purchase a new machine to produce the detergent. The machine has an up-front cost (t = 0) of $2 million. The machine will be depreciated on a straight-line basis over 4 years (that is, the company's depreciation expense will be $500,000 in each of the first four years (t = 1, 2, 3, and 4). The company anticipates that the machine will last for four years, and that after four years, its salvage value will equal zero. · If the company goes ahead with the proposed product, it will have an effect on the company's net operating working capital. At the outset, t = 0, inventory will increase by $440,000 and accounts payable will increase by $140,000. At t = 4, the net operating working capital will be recovered after the project is completed. · The detergent is expected to generate sales revenue of $2 million the first year (t = 1), $3 million the second year (t = 2), $4 million the third year (t = 3), and $4 million the final year (t = 4). Each year the operating costs (not including depreciation) are expected to equal 60 percent of sales revenue. · The company's interest expense each year will be $400,000. · The new detergent is expected to reduce the after-tax cash flows of the company's existing products by $200,000 a year (t = 1, 2, 3, and 4). · The company's overall WACC is 10 percent. However, the proposed project is riskier than the average project for Parker; the project's WACC is estimated to be 12 percent. · The company's tax rate is 40 percent. Estimate the project net cash flows. Make sure to put the cash flows in order: CF0 in box 1, CF1 in Box 2, CF2 in Box 3, etc. Round it to a whole dollar, and do not include the $ sign. In box 6 (last one), compute the project's NPV. Round it to a whole dollar, and do not include the $ sign.

Prepare THREE financial statements as described in the requirements below.

Kathy Wintz formed a lawn service business as a summer job. To start the business on May 1, 2018, she deposited $1,000 in a new bank account in the name of the business. The $1,000 consisted of a $600 loan from Bank One to her company, Wintz Lawn Service, and $400 of her own money. The company issued $400 of capital to Wintz. Wintz rented lawn equipment, purchased supplies, and hired other students to mow and trim customers’ lawns. At the end of each month, Wintz mailed bills to the customers. On August 31, she was ready to dissolve the business and return to college. Because she was so busy, she kept few records other than the checkbook and a list of receivables from customers. At August 31, the business’s checkbook shows a balance of $2,000, and customers still owe $750. During the summer, the business collected $5,500 from customers. The business checkbook lists payments for supplies totaling $400, and it still has gasoline, weed trimmer cord, and other supplies that cost a total of $50. The business paid employees $1,800 and still owes them $300 for the final week of the summer. Wintz rented some equipment from Ludwig’s Machine Shop. On May 1, the business signed a six-month rental agreement on mowers and paid $600 for the full rental period in advance. Ludwig’s will refund the unused portion of the prepayment if the equipment is returned in good shape. In order to get the refund, Wintz has kept the mowers in excellent condition. In fact, the business had to pay $300 to repair a mower. To transport employees and equipment to jobs, Wintz used a trailer that the business bought for $300. The business estimates that the summer’s work used up one-third of the trailer’s service potential. The business checkbook lists a payment of $500 for cash withdrawals paid during the summer. The business paid the loan back during August. (For simplicity, ignore any interest expense associated with the loan.)

Requirements

1. Prepare the income statement and the statement of owner’s equity of Wintz Lawn Service for the four months May 1 through August 31, 2018.

2. Prepare the classified balance sheet (report form) of Wintz Lawn Service at August 31, 2018.

3. Was Wintz’s summer work successful? Give your reason for your answer.

Record entries from the transaction and event list provided below in proper journal entry format. NOTE: You are recording entries for the fiscal year 2019 (Jan 1 – Dec 31) and make adjusting entries at year-end. This list must be chronologically organized. Make sure that I can easily identify the journal entry or adjusting journal entry with the related transaction/event. Show your work if the entry requires you to make a calculation (i.e. depreciation, interest expense, etc.).

June

17. Leased additional warehouse space from Leasing Solutions for two years on June 1st due expiration of the previous rental contract. $92,000 cash was paid for the new contract on this date which covers the rental fee for two years. There is no value left in the previous contract. [Adjusting Entry Required]

18. Wage expenses from January 1 – June 30 $530,000. Pay this in full including your beginning balance in wages payable.

19. On June 19th, $95,000 of prepaid insurance was used.

20. On June 26th a customer that previously bought your product on account has filed for bankruptcy. He owed you $62,500. You expect to collect $0.

July

21. Your company issued 1,000, 3.8% bonds (face value of each bond is $1,000) at 101.8250 on July 1st, 2019. The bonds are due on July 1, 2024, with interest payable each January 1 and July 1. The market rate at the time of the bond issuance was 3.4%. Use the effectiveinterest method to calculate both the interest expense and the amortization of the bond discount when each interest payment is made. [Adjusting Entry Required]

August

22. On August 6th , a piece of land that was originally purchased for $1,250,000 was sold for $1,550,000 cash.

23. August 15th , your customers bought 9,000 units of your product at $116.00 per unit. The cost of this product is determined by the method of inventory valuation used by your company. Customers paid you 50% in cash and the remainder was on account.

24. Received on August 25th a $156,000 cash payment from a customer paying on their account.

25. Purchased a Patent (Intangible Asset) for $165,000 on August 1st. The patent will be amortized over a 10 year period on a straight-line basis. [Adjusting Entry Required]

September

26. $122,000 cash was paid for an investment in Company X's marketable securities on September 3rd .

27. On September 12th, a piece of equipment was sold for $650,000 cash. The equipment was originally purchased for $1,100,000. At the time of the sale, it had been depreciated by $235,000.

28. Purchased and used $3,500 worth of fuel for the delivery truck on September 18th .

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on an course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

2. Look at data set. Before running any statistical analyses, glance through the data. Which hypothesis will be supported?

DATA:

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on a course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

4. Conduct a one-way ANOVA. Report your statistical findings (including any applicable tables in APA format) here.

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course-testings score on the previous three tests. She then asked them to rate how likely they were to cheat on a course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

5. What would you conclude from this analysis? What would be your next steps, if this were your research project?

A psychologist wanted to know if students in her class were more likely to cheat if they were low achievers. She divided her 60 students into three groups (low, middle, and high) based on their mean course score on the previous three course-testings. She then asked them to rate how likely they were to cheat on an course-testings if the opportunity presented itself with very limited chance for consequences. The students rated their desire to cheat on a scale ranging from 1-100, with lower numbers indicating less desire to cheat.

1. Before opening the data, what would you hypothesize about this research question?

2. Achievement_Group	Gender	Cheat
   1	0	20
   1	0	40
   1	0	49
   1	0	50
   1	0	51
   1	0	51
   1	0	52
   1	0	53
   1	0	58
   1	1	42
   1	1	48
   1	1	48
   1	1	52
   1	1	55
   1	1	55
   1	1	56
   1	1	59
   1	1	67
   1	1	80
   1	1	79
   2	0	19
   2	0	25
   2	0	20
   2	0	29
   2	0	24
   2	0	32
   2	0	25
   2	0	27
   2	0	30
   2	0	55
   2	1	40
   2	1	25
   2	1	27
   2	1	35
   2	1	42
   2	1	30
   2	1	30
   2	1	34
   2	1	40
   2	0	27
   3	0	60
   3	0	65
   3	0	69
   3	0	78
   3	0	79
   3	0	80
   3	0	80
   3	0	90
   3	0	95
   3	0	50
   3	1	55
   3	1	55
   3	1	60
   3	1	69
   3	1	70
   3	1	70
   3	1	88
   3	1	90
   3	1	90
   3	1	91

Two 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.

Copy Data

Step 1 of 4:

Find the mean of the paired differences, d‾‾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 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.