[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

the average molecular speed of four gases at 27 °C. Xe, Ar, Ne, He. What, if any, relationship do you observe between average molecular speed and molar mass? Estimate the average molecular speed of xenon at 27 °C.

The Sheldon Corporation began a consulting business specializing in on-site computer training on January 1, 2018. The following transactions took place during its first three months of operations.

Summary of Transactions

Jan. 1 Sold 5,000 shares of capital stock for a total of $500,000 cash.

Jan. 2 Paid the premium of $12,000 on a 24-month insurance policy on all assets.

Jan. 3 Purchased land and a building for a total of $350,000 cash. The land is valued at $50,000, while the building is valued at $300,000 and is expected to have a useful life of 30 years.

Jan. 10 Purchased a computer network system for $36,000 cash. The expected useful life is 6 years.

Jan. 15 Paid $2,400 cash for a phone system that should have a 3-year useful life.

Jan. 16 Paid cash to acquire equipment and furniture for business purposes at a cost of $12,000. The expected useful life is 4 years.

Jan. 19 Purchased office supplies for $1,250 cash. (Use the asset account “Office Supplies” for such purchases.)

Jan. 24 Paid cash of $10,000 for binders, manuals, and workbooks for use in Sheldon's client programs. Sheldon's policy is to initially record these materials as an asset (Program Supplies) and to then expense the materials used for a particular training program when the program is completed.

Jan. 30 Paid wages of $1,800 and salaries of $3,600 for work performed during January.

Feb. 14 Completed the first client program for a fee of $9,500. The customer paid $2,500 of the fee that day, with the remainder billed on account. Program supplies used on the project had originally cost Sheldon $1,500.

Feb. 15 Paid wages of $2,400 in cash.

Feb. 19 Paid utilities for the month of January of $1,050 in cash.

Feb. 23 Purchased on account 30 specialized manuals as program supplies for use in computer training for a total of $1,800.

Feb. 28 Borrowed $45,000 from the bank on a 2-year note. The interest rate on the note is 6% per year (or 0.5% per month).

Mar. 1 Paid wages of $3,600 and salaries of $6,000.

Mar. 1 Completed on-site computer training for two customers: JKL Products, Inc., and Watson Company. Billed JKL $11,000 on account. The fee for Watson was $9,200, half of which Watson paid in cash with the remainder on account. Program supplies used for the two customers totaled $4,600.

Mar. 4 Purchased additional program supplies on account for a total of $3,600.

Mar. 13 Collected $16,600 on account from credit customers.

Mar. 15 Completed first all-day computer workshop for walk-in customers. Sales totaled $4,250, all in cash. Program supplies used for the workshop originally cost Sheldon $1,850.

Mar. 16 Billed Coastal Corporation $7,500 for on-site training completed on March 16. Program supplies for the training originally cost Sheldon $2,500. Mar. 16 Paid wages of $3,700.

Mar. 17 Purchased office supplies of $750 on account.

Mar. 21 Paid $3,200 to suppliers for materials previously purchased on account.

Mar. 23 Paid utilities for the month of February of $1,800 in cash.

Mar. 26 Received a $2,000 cash advance from Watson Company for additional computer training to begin April 1, 2018.

Mar. 29 Collected $6,250 on account from credit customers.

Mar. 31 Purchased $3,600 of program supplies for cash.

Additional Data Determined at March 31, 2018:

Unpaid and unrecorded wages and salaries totaled $2,700 and $8,500, respectively.

Service revenue unrecorded and unbilled at March 31 amounted to $9,300. Program supplies associated with these services originally cost Sheldon $2,800.

Office supplies on hand at March 31 totaled $450.

Sheldon uses straight-line depreciation on all depreciable assets and assumes the assets will have no value at the end of their estimated useful lives. A full month's depreciation is taken for the month of purchase, regardless of which day of the month the purchase is made. For example, depreciation expense for the three months ended March 31, 2018, on the phone system is $200 (i.e., $2,400/3 years x 3/12 of a year). Land is not considered depreciable. You may use a single account (Depreciation Expense) to record all of the depreciation expense for the depreciable assets. Also, you may use a single account (Accumulated Depreciation) to record the effect of depreciation on total assets.

Sheldon must record accrued interest for one month on the $45,000 bank loan.

Sheldon estimates utilities used during March amounted to $1,800, although the bill has not yet been received.

Remember insurance that has expired.

Required (round all amounts to the nearest dollar):

1. Record the transactions and events for the three months ending March 31, 2018, in general journal format. Record all prepaid expenses as assets at this time and all unearned revenues as liabilities. Do not record any adjusting journal entries based on the "additional data" at this time.

2. Post the journal entries prepared in (1.) to the general ledger T-accounts.

3. Prepare an unadjusted trial balance.

4. Record the necessary adjusting journal entries based on the "additional data" at March 31 in the general journal and then post these journal entries to the T- accounts.

5. Prepare an adjusted trial balance.

6. Prepare an income statement for the first three months of Sheldon's operations. Remember to include the proper heading.

7. Prepare Sheldon's March 31, 2018, balance sheet. Remember to include the proper heading. Also, the balance sheet does NOT need to be a classified balance sheet.

Carter Cleaning Centers

Jennifer Carter graduated from State University in June 2005, and, after considering several job offers, decided to do what she always planned to do go into business with her father, Jack Carter. Jack Carter opened his first Laundromat in 1995 and his second in 1998. The main attraction of these coin laundry businesses for him was that they were capital- rather than labor-intensive. Thus, once the investment in machinery was made, the stores could be run with just one unskilled attendant and none of the labor problems one normally expects from being in the retail service business. The attractiveness of operating with virtually no skilled labor notwithstanding, Jack had decided by 1999 to expand the services in each of his stores to include the dry cleaning and pressing of clothes. He embarked, in other words, on a strategy of related diversification by adding new services that were related to and consistent with his existing coin laundry activities. He added these for several reasons. He wanted to better utilize the unused space in the rather large stores he currently had under the lease. Furthermore, he was, as he put it, tired of sending out the dry cleaning and pressing work that came in from our coin laundry clients to a dry cleaner 5 miles away, who then took most of what should have been our profits. To reflect the new, expanded line of services, he renamed each of his two stores Carter Cleaning Centers, and was sufficiently satisfied with their performance to open four more of the same type of stores over the next 5 years. Each store had its own on-site manager and, on average, about seven employees and annual revenues of about $500,000. It was this six-store chain that Jennifer joined after graduating. Her understanding with her father was that she would serve as a troubleshooter/consultant to the elder Carter with the aim of both learning the business and bringing to it modern management concepts and techniques for solving the business problems and facilitating its growth.

Questions:

1. In line with your course, define the significance of the case?

2. The case narrated that the owner was capital oriented rather than labor-intensive. As an HRM student, what do you think about the philosophy of the owner? Which suggestions you will recommend to utilize labour oriented philosophy in the organization?

3. What suggestions you will provide to Jennifer to link HRM policies and practices with the differentiation strategy of the organization? Justify your answer.

A May 2005 federal indictment included the following charges against certain Indianapolis ready-mix cement dealers:

For forming and carrying out the charged combination and conspiracy, Defendant and co-conspirators did those

things that they combined and conspired to do, including, among other things:

a. engaging in discussions regarding the prices at which each

would sell ready mixed concrete;

b. agreeing during those discussions to specific price increases

for ready mixed concrete and to the timing of those price increases;

c. issuing price announcements and/or price quotations in

accordance with the agreements reached;

d. selling ready mixed concrete pursuant to those agreements

at collusive and noncompetitive prices; and

e. accepting payment for ready mixed concrete sold at the

agreed-upon collusive and noncompetitive prices.

Assume for the sake of this question that these allegations are true. Discuss, with reference to the antitrust decisions covered in the course, factors determining whether or not these cement dealers have violated Section 1 of the Sherman Act.

Montarello and Martins (2005) found that fifth grade students completed more mathematics problems correctly when simple problems were mixed in with their regular math assignments. To further explore this phenomenon, suppose that a researcher selects a standardized mathematics achievement test that produces a normal distribution of scores with a mean of µ= 100 and a standard deviation of σ = 24. The researcher modifies the test by inserting a set of very easy problems among the standardized questions and gives the modified test to a sample of n = 36 students. If the average test score for the sample is M = 120, is this result sufficient to conclude that inserting the easy questions improves student performance? Use a one-tailed test with α = .05.

The null hypothesis in words is Group of answer choices:

Inserting the easy questions decreases student performance on the achievement test

Inserting the easy questions does not affect student performance on the achievement test

Inserting the easy questions does not improve student performance on the achievement test

Inserting the easy questions improves student performance on the achievement test

The alternative hypothesis in symbols is

Group of answer choices

H1: µ ≤ 100

H1: µ > 100

H1: M ≤ 100

H1: M > 100

H1: µ = 100

H1: µ ≠ 100

The critical z value is

If it is a decimal number that is less than one, please include the 0 before the decimal point. If it is a decimal number with two or more than two places, leave only two decimal places after the decimal point. Please do not round. Finally, it is is a negative number, please do not forget to put the minus sign in front of it.

The z-score statistic is:

If it is a decimal number that is less than one, please include the 0 before the decimal point. If it is a decimal number with two or more than two places, leave only two decimal places after the decimal point. Please do not round. Finally, it is is a negative number, please do not forget to put the minus sign in front of it.

Your decision is

Group of answer choices

Reject the null hypothesis because the z-score statistic is greater than the critical z value

Reject the null hypothesis because the z-score statistic is not greater than the critical z value

Fail to reject the null hypothesis because the z-score statistic is greater than the critical z value

Fail to reject the null hypothesis because the z-score statistic is not greater than the critical z value

1a)

Montarello and Martins (2005) found that fifth grade students completed more mathematics problems correctly when simple problems were mixed in with their regular math assignments. To further explore this phenomenon, suppose that a researcher selects a standardized mathematics achievement test that produces a normal distribution of scores with a mean of µ= 100 and a standard deviation of σ = 24. The researcher modifies the test by inserting a set of very easy problems among the standardized questions and gives the modified test to a sample of n = 36 students. If the average test score for the sample is M = 120, is this result sufficient to conclude that inserting the easy questions improves student performance? Use a one-tailed test with α = .05.

The null hypothesis in words is

Group of answer choices

Inserting the easy questions decreases student performance on the achievement test

Inserting the easy questions does not affect student performance on the achievement test

Inserting the easy questions does not improve student performance on the achievement test

Inserting the easy questions improves student performance on the achievement test

b)The alternative hypothesis in symbols is

c)The critical z value is

d)The z-score statistic is:

e)

Your decision is

Group of answer choices

Reject the null hypothesis because the z-score statistic is greater than the critical z value

Reject the null hypothesis because the z-score statistic is not greater than the critical z value

Fail to reject the null hypothesis because the z-score statistic is greater than the critical z value

Fail to reject the null hypothesis because the z-score statistic is not greater than the critical z value

1b)

Suppose that over the past 30 years during any given week of the major-league season, an average of µ = 12 players are hit by wild pitches. Assume that the distribution is normal with a standard deviation of σ =3. For a sample of n = 4 weeks, in which the daily temperature was extremely hot, the weekly average of hit-by- pitch players was M = 16.

Are players more likely to get hit by pitches during hot weeks? Use a one-tailed test with α = .01.

The alternative hypotheses in words is:

Group of answer choices

The number of hit-by-pitch players during hot weather remains the same

The number of hit-by-pitch players during hot weather significantly changes

There is a significant increase in the number of hit-by-pitch players during hot weather.

There is not a significant increase in the number of hit-by-pitch players during hot weather.

a)The null hypothesis in symbols is:

b)The critical z value is

c)The z-score statistic is:

d)

Your decision is

Group of answer choices

Reject the null hypothesis and conclude that that there is a significant increase in the number of hit-by-pitch players during hot weather

Reject the null hypothesis and conclude that that there is not a significant increase in the number of hit-by-pitch players during hot weather

Fail to reject the null hypothesis and conclude that that there is a significant increase in the number of hit-by-pitch players during hot weather

Fail to reject the null hypothesis and conclude that that there is not a significant increase in the number of hit-by-pitch players during hot weather

e)

Compute Cohen’s d to estimate the size of the effect.

Cohen's d is:

f)Report the results in APA

1c)

A researcher conducts a hypothesis test to evaluate the effect of a treatment that is expected to increase scores. The hypothesis test produces a z-score statistic of z= 1.23 , if the researcher is using a one-tailed test, what is the correct statistical decision?

Group of answer choices

Reject the null hypothesis with α = .05, but not with α = .01

Reject the null hypothesis with either α = .05 or α = .01

Fail to reject the null hypothesis with either α = .05 or α = .01

cannot answer without additional information

Montarello and Martins (2005) found that fifth grade students completed more mathematics problems correctly when simple problems were mixed in with their regular math assignments. To further explore this phenomenon, suppose that a researcher selects a standardized mathematics achievement test that produces a normal distribution of scores with a mean of µ= 100 and a standard deviation of σ = 18. The researcher modifies the test by inserting a set of very easy problems among the standardized questions and gives the modified test to a sample of n = 36 students. If the average test score for the sample is M = 104, is this result sufficient to conclude that inserting the easy questions improves student performance? Use a one-tailed test with α = .01.

A)The alternative hypotheses in words is

B)The null hypothesis in symbols is

C)The critical z values is

D)The z-score statistic is:

E) Your decision is