October

1. S.Erickson invested $50,000 cash, a $16,000 pool equipment, and $12,000 of office equipment in the company.

2. The company paid $4,000 cash for five months’ rent.

3. The company purchased $1,620 of office supplies on credit from Todd’s Office Products.

5. The company paid $4,220 cash for one year’s premium on a property and liability insurance policy.

6. The company billed Deep End Co $4,800 for services performed in installing a new pool

8. The company paid $1, 620 cash for the office supplies purchased from Todd’s Office Products on October 3.

10. The company hired Julie Kruitas a part-time assistant for $136 per day, as needed.

12. The company billed Deep End Co another $1,600 for services performed.

15. The company received $4,800 cash from Deep End Co as partial payment on its account.

17. The company paid $750 cash to repair pool equipment that was damaged when moving it.

20. The company paid $1,958 cash for advertisements published in the local newspaper.

22. The company received $1,600 cash from Deep End Co. on its account.

28. The company billed Happy Summer Corp $6,802 for consulting services performed.

31. The company paid $952 cash for Julie Kruit’s wages for seven days’ work.

31. S.Erickson withdrew $3,500 cash from the company for personal use.

November

1. The Company reimbursed S. Erickson in cash for business automobile mileage allowance (Erickson logged 1,500 miles at $0.32 per mile).

2. The company received $5,630 cash from Underground Inc. for consulting services performed.

5. The company purchased office supplies for $1,325 cash from Todd’s Office Products.

8. The company billed Slides R Us $7,568 for services performed.

13. The company agreed to perform future services for Henry’s Pool and Spa Co. No work has been performed.

18. The company received $2,802 cash from Happy Summer Corp as partial payment of the October 28 bill.

22. The company donated $450 cash to the United Way in the company’s name.

24. The company completed work and sent a bill for $4,800 to Henry’s Pool and Spa Co.

25. The company sent another bill to Happy Summer Corp for the past-due amount of$4,000.

28. The company reimbursed S. Erickson in cash for business automobile mileage(1,300miles at $0.32 per mile).

30. The company paid cash to Julie Kruit for 14 days’ work.

30. S.Erickson withdrew $1,500 cash from the company for personal use.

December

2. Paid $1,200 cash to West Side Mall for Splashing Around’s share of mall advertising costs.

3. Paid $350 cash for minor repairs to the company’s pool equipment.

4. Received $ 4,800 cash from Henry’s Pool and Spa Co. for the receivable from November.

10. Paid cash to Julie Kruit for six days of work at the rate of $136 per day.

14. Notified by Henry’s Pool and Spa Co. that Splashing Around’s bid of $10,000 on a proposed project has been accepted. Henry’s paid a $6,500 cash advance to Splashing Around

15. Purchased $1,400 of office supplies on credit from Todd’sOffice Products.

16. Sent a reminder to Slides R Us to pay the fee for services recorded on November 8.

20. Completed a project for Underground Inc and received $6,545 cash.

22–26. Took the week off for the holidays.

28. Received $4,500 cash from Slides R Us on its receivable.

29. Reimbursed S.Erickson for business automobile mileage (500 miles at $0.32 per mile).31.S.Erickson withdrew $2,500 cash from the company for personal use

Prepare an income statement for the three months ended December 31, 2019

Prepare a statement of owner’s equity for the three months ended December 31, 2019

Prepare a classified balance sheet as of December 31, 2019

Record the closing entries for Splashing Around

Post the closing entries to the general ledger under "closing entry"

Prepare a post-closing trial balance as of December 31, 2019.

We need to find the confidence interval for the SLEEP variable. To do this, we need to find the mean and standard deviation with the Week 1 spreadsheet. Then we can the Week 5 spreadsheet to find the confidence interval.

First, find the mean and standard deviation by copying the SLEEP variable and pasting it into the Week 1 spreadsheet. Write down the mean and the sample standard deviation as well as the count. Open the Week 5 spreadsheet and type in the values needed in the green cells at the top. The confidence interval is shown in the yellow cells as the lower limit and the upper limit.

1. Give and interpret the 95% confidence interval for the hours of sleep a student gets.
2. Give and interpret the 99% confidence interval for the hours of sleep a student gets
3. Compare the 95% and 99% confidence intervals for the hours of sleep a student gets. Explain the difference between these intervals and why this difference occurs.

In the Week 2 Lab, you found the mean and the standard deviation for the HEIGHT variable for both males and females. Use those values for follow these directions to calculate the numbers again.

(From Week 2 Lab: Calculate descriptive statistics for the variable Height by Gender. Click on Insert and then Pivot Table. Click in the top box and select all the data (including labels) from Height through Gender. Also click on “new worksheet” and then OK. On the right of the new sheet, click on Height and Gender, making sure that Gender is in the Rows box and Height is in the Values box.   Click on the down arrow next to Height in the Values box and select Value Field Settings. In the pop up box, click Average then OK. Write these down. Then click on the down arrow next to Height in the Values box again and select Value Field Settings. In the pop up box, click on StdDev then OK. Write these values down.)

You will also need the number of males and the number of females in the dataset. You can either use the same pivot table created above by selecting Count in the Value Field Settings, or you can actually count in the dataset.

Then use the Week 5 spreadsheet to calculate the following confidence intervals. The male confidence interval would be one calculation in the spreadsheet and the females would be a second calculation.

1. Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?

2. Give and interpret the 99% confidence intervals for males and females on the HEIGHT variable. Which is wider and why?

3. Find the mean and standard deviation of the DRIVE variable by copying that variable into the Week 1 spreadsheet. Use the Week 4 spreadsheet to determine the percentage of data points from that data set that we would expect to be less than 40. To find the actual percentage in the dataset, sort the DRIVE variable and count how many of the data points are less than 40 out of the total 35 data points. That is the actual percentage. How does this compare with your prediction?

4. What percentage of data would you predict would be between 40 and 70 and what percentage would you predict would be more than 70 miles? Use the Week 4 spreadsheet again to find the percentage of the data set we expect to have values between 40 and 70 as well as for more than 70. Now determine the percentage of data points in the dataset that fall within this range, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference?

On October 1, 2016, Adria Lopez launched a computer services company called Success Systems, which provides consulting services, computer system installations, and custom program development. Adria adopts the calendar year for reporting purposes and expects to prepare the company's first set of financial statements on December 31, 2016. The company's initial chart of accounts and transactions follows. Account No. Account No. Cash 101 Common Stock 307 Accounts Receivable 106 Dividends 319 Computer Supplies 126 Computer Services Revenue 403 Prepaid Insurance 128 Wages Expense 623 Prepaid Rent 131 Advertising Expense 655 Office Equipment 163 Mileage Expense 676 Computer Equipment 167 Miscellaneous Expenses 677 Accounts Payable 201 Repairs Expense - Computer 684 Oct. 1 Adria Lopez invested $55,000 cash, a $20,000 computer system, and $8,000 of office equipment in the company in exchange for its common stock. The company paid $3,300 cash for four months' rent. (Hint: Debit Prepaid Rent for $3,300.) The company purchased $1,420 of computer supplies on credit from Harris Office Products. The company paid $2,220 cash for one year's premium on a property and liability insurance policy. (Hint Debit Prepaid Insurance for $2,220.) The company billed Easy leasing $4,800 for services performed in installing a new Web server. 8 The company paid $1,420 cash for the computer supplies purchased from Harris Office Products on October 3. 10 The company hired Lyn Addie as a part-time assistant for $125 per day, as needed. 12 The company billed Easy leasing another $1,400 for services performed. 15 The company received $4,800 cash from Easy Leasing as partial payment on its account. 17 The company paid $805 cash to repair computer equipment that was damaged when moving it. 20 The company paid $1,940 cash for advertisements published in the local newspaper. 22 The company received $1,400 cash from Easy Leasing on its account. 28 The company billed IFM Company $5,208 for services performed. 31a The Company paid $875 cash for Lyn Addie's wages for seven days' work. 31b The Company paid $3,600 cash in dividends. Nov. 1 The Company reimbursed Adria Lopez in cash for business automobile mileage allowance (Lopez logged 1,000 miles at $0.32 per mile). 2 The company received $4,633 cash from Liu Corporation for computer services performed. 5 The company purchased computer supplies for $1,125 cash from Harris Office Products. 8 The company billed Gomez Co. $5,668 for services performed. 13 The company received notification from Alex's Engineering Co. that Success Systems' bid of $3,950 for an upcoming project is accepted. 18 The company received $2,208 cash from IFM Company as partial payment of the October 28 bill. 22 The company donated $250 cash to the United Way in the company's name. The company completed work for Alex's Engineering Co. and sent it a bill for $3,950. The company sent another bill to IFM Company for the past-due amount of $3,000. 28 The company reimbursed Adria Lopez in cash for business automobile mileage (1,200 miles at $0.32 per mile). 30a The Company paid $1,750 cash for Lyn Addie's wages for 14 days' work. 30b The Company paid $2,000 cash in dividends. Required: Using Micro Soft Excel and Word: Prepare journal entries to record each of the above transactions for Success Systems. (If no entry is required for a particular transaction, select "No journal entry required” in the first account field.) Post the journal entries to ledger accounts. (Add additional ledger accounts when necessary.) Prepare a trial balance as of the end of November. (Trial Balance total $ 108,659) (Be sure to show formulas in your worksheets.) This question has been posted but the answer is wrong please review and help thanks I found the mistake in the answer the 11/2 transaction shoud be cash debit revenue credit your welcome!

If you have a chance please answer as many as possible, thank you and I really appreciate your help experts!

Question 16 2 pts

In a hypothesis test, the claim is μ≤28 while the sample of 29 has a mean of 41 and a standard deviation of 5.9. In this hypothesis test, would a z test statistic be used or a t test statistic and why?

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Question 17 2 pts

A university claims that the mean time professors are in their offices for students is at least 6.5 hours each week. A random sample of eight professors finds that the mean time in their offices is 6.2 hours each week. With a population standard deviation of 0.49 hours, can the university’s claim be supported at α=0.05?

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Question 18 2 pts

A credit reporting agency claims that the mean credit card debt in a town is greater than $3500. A random sample of the credit card debt of 20 residents in that town has a mean credit card debt of $3619 and a standard deviation of $391. At α=0.10, can the credit agency’s claim be supported?

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Question 19 2 pts

A car company claims that its cars achieve an average gas mileage of at least 26 miles per gallon. A random sample of eight cars from this company have an average gas mileage of 25.6 miles per gallon and a standard deviation of 1 mile per gallon. At α=0.06, can the company’s claim be supported?

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Question 20 2 pts

A researcher wants to determine if extra homework problems help 8^th
grade students learn algebra. One 8^th grade class has extra homework problems and another 8^th grade class does not. After 2 weeks, the both classes take an algebra test and the results of the two groups are compared. To be a valid matched pair test, what should the researcher consider in creating the two groups?

Can someone just answer 8 A B C D and E please!!!

Regression Analysis (Excel 2010 & 2007)

1.         Open a new Excel worksheet (which will be saved as REGRESSION.xlsx).  In cell A1 type your name.  In cell A2 type the course and section number (i.e. ECON225-01).  In cell A3 type the date.  Skip cell A4.  In cell A5 type “Assignment: Regression Analysis”.  In cell A6 type “File: REGRESSION.xlsx”.

2.         Type X in cell B8 and type Yin cell C8.  Type Miles in cell B9 and type Minutes  in cell C9.

In cells B10 through B18 enter the following values:

11, 10, 15, 7, 3, 6, 9, 12, 5

                        In cells C10 through C18, enter the following data values:  

                        28, 27, 35, 15, 8, 14, 20, 29, 13  

            Center format cells B8 through C18 for a more professional appearance.

3.         Click on the Datatab in the toolbar, then select Data Analysis. Next, select   Regressionfrom the Analysis Tools and click on OK.  In the Regression dialog boxes type C10:C18in the Input Y Range dialog box, then type B10:B18in the Input X Range dialog box.  Under Output Options select Output Range and type A20:I40in the output range dialog box.  Click onOK. A Summary Output table will appear.

4.         Select cell D27 and type Forecast for Y when X = 13:  Next select cell G27, then click on the Formulas tabin the toolbar, then select More Functions. Under the Function category select Statistical.  Under the Function name select  FORECAST.  In the dialog boxes type 13in the X dialog box, type C10:C18in the Known Y’s dialog box, and type B10:B18in the Known X’s dialog box.  Click on OK. The forecasted value for Y when X=13 will appear in cell G27.

5.         Return to the Home tab in the toolbar.  Select the columns of X and Y data values from B10 through C18(do not select their headings).  Next, click on the Insert tabin the toolbar, under Charts select Scatter, then select the first choice of a scatter diagram graph.    Resize and reposition the scatter diagram to the location of cell E9 for the top left corner of the diagram, and cell I 22 for the bottom right corner of the diagram.  (This will allow everything to fit on one printed page.) Delete the “Series 1” label box. You can label the axes with the variable names (Miles and Minutes) by clicking on the outside corner of the graph, then select Axis Titles in the toolbar. Label both the X and Y axes of the graph with their appropriate variable names.

            (Instructions continue on the next page.)

6.         Next, click any place inside of the scatter diagram. Under the Analysis options, click on Trendline,thenselectLinear Trendline. Click on OK. A trend line will be added to the scatter diagram.  Do a Print Preview to make sure that your graph fits onto the printed page.

7.         Save your worksheet on a disk as REGRESSION.xlsx and print-out the worksheet to submit to the instructor.  

8.         In addition to submitting a print-out of the worksheet(s), also submit typed answers to the following questions, referencing the data in your print-out and your textbook or Notes:

(a)        What is the regression equation for this data set? (Write the printed “a” and “b” values into the equation.  Hint: Under the Coefficient column the value for the Intercept is the value for “a” and the X Variable value is the value for “b”.)

(b)       Interpret the printed value for “a” relative to its definition, the X and Y variable names, and its value.  

(c)        Interpret the printed value for “b” relative to its definition, the X and Y variable names, and its value.

(d)       Interpret the printed value for “r” relative to its definition, the X and Y variable names, and its value.  (**Hint: Under the Regression Statistics section the Multiple R value is the correlation coefficient and the R Square value is the Coefficient of Determination.  The printed table value for “r” does not always indicate direction (+ or -), therefore, check that the sign for your “r” value agrees with the sign for your “b” value.)  

(e)        Interpret the printed value for “r²” relative to its definition, the X and Y variable names, and its value.  

20. A weakness of many struggling retailers this year may be due to the cost of operating too many branch stores with their high overhead - on top of the pandemic.

True or False

21. Warby Parker is a socially conscious accessories and apparel company that has built a global movement connecting customers to social change.

True or False

22. Demographics include population or consumer statistics regarding socioeconomic factors such as age, income, gender, occupation, education, family size, etc.

True or False

23. The three basic service levels in brick-n-mortar retailers are self-service, self selection and phone service.

True or  False

25. Product depth is the variety within each assortment category, with a  deep assortment having  many sizes or color offerings while a shallow assortment  has few size or color offerings.

True or false

26. A commissary store is a retailer that serves the environment in which it is housed, such as a hair/nail salon  or gift shop in a hotel lobby.

True or false

27. A big box retail location is a mixed-use property where one building can house retail/ restaurants/gyms/offices/ services on lower levels, and apartments/condos above on upper floors.

True or false

30. Shop! Retail Environments is an example of a trade periodical while  Inc. Magazine is an example of a consumer periodical.

True or false

31. A broad assortment contains  many styles of a product category , while a narrow assortment contains few styles.

True or false

32. A liquid asset is a reference to cash on hand or an asset that can be readily converted to cash; a non-liquid asset is not readily converted to cash – i.e., property, as there is no guarantee it will sell within a certain time period.

True or false

33. The three major levels of retail competition are Product Field, Subfield and Assets/Liabilities.

True or false

34. Referring to Ilse Metchek's guest presentation, The California Fashion Association (CFA) is the Business-to-Business (B2B) forum for California's Apparel and Textile Industries.

True or false

35. Consumers being shown the breakdown of the retail price of the products they buy - what the labor, materials, duties and transport as well as the store's profit - is known as retail vision.

True or false

You are opening a landscaping business, and wish to estimate your levered cost of equity. Beatrice's Yard Maintenance has an equity beta of 1.5, and a D/E ration of 0.7. If the riskless rate is 0.04, the expected return on the S&P500 is 0.16, and your firm will have a D/E ratio of 1, what would your firm's levered cost of equity be if the tax rate is 0.28? Please give your answer in the form of a decimal to 2 places - if your answer is 10.5%, please enter 0.105.

madtack Company’s beginning and ending inventories for the month of July are

Production data for the month of July follows:

Madtack has one overhead cost account and assigns overhead to production based on direct labor cost. The predetermined allocation rate is 0.7. The company formally reconciles over- or underapplied overhead at year end.

What are the costs of good manufactured for July?

In a study published in the American Journal of Psychiatry researchers wanted to measure the effect of alcohol on the development of the hippocampal region (responsible for long term memory storage) in adolescents. The researchers randomly selected 12 adolescents with alcohol use disorders. They wanted to determine whether the hippocampal volumes in the alcoholic adolescents were less than the normal volume of 9.02 cubic centimeters HA:μ<9.02 . An analysis of the sample data revealed that the hippocampal volume is approximately normal with mean 8.10 and standard deviation 0.7. Which of the following is true about the P-value?

In a study published in the American Journal of Psychiatry researchers wanted to measure the effect of alcohol on the development of the hippocampal region (responsible for long term memory storage) in adolescents. The researchers randomly selected 12 adolescents with alcohol use disorders. They wanted to determine whether the hippocampal volumes in the alcoholic adolescents were less than the normal volume of 9.02 cubic centimeters HA:μ<9.02 . An analysis of the sample data revealed that the hippocampal volume is approximately normal with mean 8.10 and standard deviation 0.7. Which of the following is true about the P-value?