Questions
1A . Pargo Company is preparing its master budget for 2017. Relevant data pertaining to its...

1A . Pargo Company is preparing its master budget for 2017. Relevant data pertaining to its sales, production, and direct materials budgets are as follows.

Sales:Sales for the year are expected to total 1,000,000 units. Quarterly sales are 20%, 25%,25%,and 30% respectively.The sales price is expected to be $40 per unit for the first three quartersand $45 per unit beginning in the fourth quarter.Sales in the first quarter of 2018 are expected to be 20% higher than the budgeted sales for the first quarter of 2017.

Production:Management desires to maintain the ending finished goods inventories at 25% of the next quarter’s budgeted sales volume.

Direct materials:Each unit requires 2 pounds of raw materials at a cost of $12 per pound.Management desires to maintain raw materials inventories at 10% of the next quarter’s production requirements.Assume the production requirements for first quarter of 2018 are 450,000 pounds.

a) Prepare the sales, production, and direct materials budgets by quarters for 2017.

1B. Preparing its budgeted income statement for 2017 ( Using data from answer 1)

In addition, Pargo budgets 0.3 hours of direct labor per unit, labor costs at $15 per hour, and manufacturing overhead at $20 per direct labor hour. Its budgeted selling and administrative expenses for 2017 are $6,000,000.

a) Calculate the budgeted total unit cost

b) Prepare the budgeted multiple-step income statement for 2017. (Ignore income taxes)

In: Accounting

You are conducting a Goodness of Fit hypothesis test for the claim that the 4 categories...

You are conducting a Goodness of Fit hypothesis test for the claim that the 4 categories occur with the following frequencies:

H0H0 : pA=0.15pA=0.15; pB=0.3pB=0.3; pC=0.15pC=0.15; pD=0.4pD=0.4

Give all answers as decimals rounded to 3 places after the decimal point, if necessary.

Complete the table:

Category Observed
Frequency
Expected
Frequency
A 29
B 56
C 29
D 50

What is the chi-square test-statistic for this data?
Test Statistic: χ2=χ2=

For a significance of level alpha = 0.005, what is the chi-square critical value?

You are conducting a multinomial hypothesis test (αα = 0.05) for the claim that all 5 categories are equally likely to be selected. Complete the table.

Category

Observed
Frequency

Expected
Frequency

A

14

B

25

C

20

D

18

E

19

Report all answers accurate to three decimal places. But retain unrounded numbers for future calculations.

What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.)
χ2=χ2=

What are the degrees of freedom for this test?
d.f.=

What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =

Critical Value: χ2=χ2=

In: Statistics and Probability

Greeson Clothes Company produced 23,000 units during June of the current year. The Cutting Department used...

Greeson Clothes Company produced 23,000 units during June of the current year. The Cutting Department used 4,400 direct labor hours at an actual rate of $13.2 per hour. The Sewing Department used 7,300 direct labor hours at an actual rate of $12.9 per hour. Assume there were no work in process inventories in either department at the beginning or end of the month. The standard labor rate is $13.1. The standard labor time for the Cutting and Sewing departments is 0.2 hour and 0.3 hour per unit, respectively.

a. Determine the direct labor rate, direct labor time, and total direct labor cost variance for the (1) Cutting Department and (2) Sewing Department.. Enter a favorable variance as a negative number using a minus sign and an unfavorable variance as a positive number.

Cutting Department Sewing Department
Direct Labor Rate Variance $ Unfavorable $ Favorable
Direct Labor Time Variance $ Favorable $ Unfavorable
Total Direct Labor Cost Variance $ Favorable $ Unfavorable

b. The two departments have opposite results. The Cutting Department has a(n) unfavorable  rate and a(n) favorable  time variance, resulting in a total favorable  cost variance. In contrast, the Sewing Department has a(n) favorable  rate variance but has a(n) unfavorable  time variance, resulting in a total unfavorable  cost variance.

In: Accounting

M.E. is a 29-year-old woman with a 7-month history of heavy, irregular menses, a 5-lb weight...

M.E. is a 29-year-old woman with a 7-month history of heavy, irregular menses, a 5-lb weight gain, constipation, and decreased energy. Her past history is unremarkable. She takes no prescription medications but uses iron and calcium supplements. She has a family history of thyroid disease. On examination, her weight is 152 lbs, her heart rate is 64 bpm, and her blood pressure is 138/86. Her thyroid gland is mildly enlarged, without nodularity. She has trace edema in her lower extremities, and her reflexes are slow. Laboratory studies are as follows: TSH is 15.3 mIU/mL (elevated), free T4 is 0.3 mIU/mL, and total cholesterol is 276 mg/mL.

Diagnosis: Primary hypothyroidism Answer the following questions. Include two references, cited in APA style.

List specific goals of treatment for M.E. What drug therapy would you prescribe? Why?

What are the parameters for monitoring the success of the therapy?

Discuss specific patient education based on the prescribed therapy.

List one or two adverse reactions for the selected agent that would cause you to change therapy.

What would be the choice for second-line therapy?

What over-the-counter and/or alternative medications would be appropriate for M.E.?

What lifestyle changes would you recommend to M.E.?

Describe one or two drug–drug or drug–food interactions for the selected agent.

In: Nursing

M.E. is a 29-year-old woman with a 7-month history of heavy, irregular menses, a 5-lb weight...

M.E. is a 29-year-old woman with a 7-month history of heavy, irregular menses, a 5-lb weight gain, constipation, and decreased energy. Her past history is unremarkable. She takes no prescription medications but uses iron and calcium supplements. She has a family history of thyroid disease. On examination, her weight is 152 lbs, her heart rate is 64 bpm, and her blood pressure is 138/86. Her thyroid gland is mildly enlarged, without nodularity. She has trace edema in her lower extremities, and her reflexes are slow. Laboratory studies are as follows: TSH is 15.3 mIU/mL (elevated), free T4 is 0.3 mIU/mL, and total cholesterol is 276 mg/mL.

Diagnosis: Primary hypothyroidism

Answer the following questions. Include two references, cited in APA style.

List specific goals of treatment for M.E.

What drug therapy would you prescribe? Why?

What are the parameters for monitoring the success of the therapy?

Discuss specific patient education based on the prescribed therapy.

List one or two adverse reactions for the selected agent that would cause you to change therapy.

What would be the choice for second-line therapy?

What over-the-counter and/or alternative medications would be appropriate for M.E.?

What lifestyle changes would you recommend to M.E.?

Describe one or two drug–drug or drug–food interactions for the selected agent.

In: Nursing

1. Baseball America has noticed the number of homeruns has been increasing in recent years in...

1. Baseball America has noticed the number of homeruns has been increasing in recent years in the MLB. They want to develop a 95% confidence interval that captures the true home run percentage. Home run percentage is defined as the number of home runs per 100 at bats. To do so, they randomly selected 64 current MLB players and calculated their homeruns per at bat for the previous year, and obtained a sample mean and sample standard deviation of 2.2 and 1.7, respectively.

a. Compute a 95% confidence interval for the population mean ? of the home run rate for all MLB players. Interpret with context to the problem.

b. The home run percentages for three MLB players are:

  • Player 1: Primetime Peanuts: 2.1

  • Player 2: Spleens “No Pop” McGillicuddy: 4

  • Player 3: Big Dog Lebowski: 1.5

Assess the confidence interval you calculated and describe how the home run rate for these three players compare to the interval calculated for the population mean.


c. If the confidence level was increased to 99%, would the interval be wider or narrower? Why?

d. Before collecting any data, Baseball America wants to achieve a maximum bound on error of 0.3. They suspect the range of home run rates to be 1.5 to 8. How large a sample should be used to be 95% confident of achieving this level of accuracy?

PLEASE SHOW ALL FORMULA AND WORK.

THANK YOU :)

In: Statistics and Probability

A global equity manager is assigned to select stocks from a universe of large stocks throughout...

A global equity manager is assigned to select stocks from a universe of large stocks throughout the world. The manager will be evaluated by comparing her returns to the return on the MSCI World Market Portfolio, but she is free to hold stocks from various countries in whatever proportions she finds desirable. Results for a given month are contained in the following table:

Country Weight In
MSCI Index
Manager’s
Weight
Manager’s Return
in Country
Return of Stock Index
for That Country
U.K. 0.3 0.26 22 % 15 %
Japan 0.43 0.2 17 17
U.S. 0.22 0.21 10 13
Germany 0.05 0.33 7 15

a. Calculate the total value added of all the manager’s decisions this period. (Do not round intermediate calculations. Round your answer to 2 decimal places. Negative amount should be indicated by a minus sign.)

Added Value=

b. Calculate the value added (or subtracted) by her country allocation decisions. (Do not round intermediate calculations. Round your answer to 2 decimal places. Negative amount should be indicated by a minus sign.)

Contribution of country allocation=

c. Calculate the value added from her stock selection ability within countries. (Do not round intermediate calculations. Round your answer to 2 decimal places. Negative amount should be indicated by a minus sign.)

Contribution of stock selection=

In: Finance

PLEASE READ: This is one question with 3 parts to it, please answer the full question....

PLEASE READ: This is one question with 3 parts to it, please answer the full question.

Mark M. Upp has just been fired as the university bookstore manager for setting prices too low (only 20 percent above suggest retail). He is considering opening a competing bookstore near the campus, and he has begun an analysis of the situation. There are two possible sites under consideration. One is relatively small, while the other is large. If he opens at Site 1 and demand is good, he will generate a profit of $ 200,000. If demand is low, he will lose $180,000. If he opens at Site 2 and demand is high, he will generate a profit of $100,000, but he will lose $20,000 if demand is low. He also has the option of not opening either. He believes that there is a 50 percent chance that demand will be high. Mark can purchase a market research study from Brooklyn College. The survey costs $10,000. The probability of a good demand given a favorable study is 0.8. The probability of a good demand given an unfavorable study is 0.3. There is a 45 percent chance that the study will be favorable. Draw a decision tree to determine the following:

a)What should Mark’s decisions be?

b)What is the maximum amount Mark should be willing to pay for this study?

c)What is the efficiency of the study?

Hint: The revised probabilities have already been calculated for you.

In: Statistics and Probability

Lola must decide on a price for her homemade aromatherapy candles. The number of candles she...

Lola must decide on a price for her homemade aromatherapy candles. The number of candles she expects to sell depends on the price that is set by her competitor, Sunny’s Scents of Serenity. Lola must set her price before she knows what Sunny will do. Lola believes that Sunny’s price is a random variable C having the following probability mass function. P[C =$8]=0.4,P[C=$10]=0.3,P[C=$12]=0.2,P[C=$15]=0.1. IfLolachargesaprice p1 and Sunny charges a price p2, Lola sells 20 + 5(p2 – p1) candles. Lola is considering charging $6, $10, or $12 for her candles. It costs her $1 in time and materials to make each candle.

a. Under the Expected Monetary Value criterion, which price should Lola charge?

b. Lola can bribe Sunny’s boyfriend to tell her what price she (Sunny) plans to charge. At most how much should Lola be willing to pay for this information?

c. Lola is not comfortable with the payout she gets ($405) when she sets her price to $10 and Sunny sets hers to $15. She think it should be higher. How large must it become before the option of setting her price to $10 become optimal on expected monetary value (EMV) grounds?

In: Accounting

1. (15 pts) The following data show the percentage change in population for the 50 states...

1. (15 pts) The following data show the percentage change in population for the 50 states and the District of Columbia from 2000 to 2009.

State

Percent Change

State

Percent Change

State

Percent Change

Alabama

5.9

Kentucky

6.7

North Dakota

0.7

Alaska

11.4

Louisiana

0.5

Ohio

1.7

Arizona

28.6

Maine

3.4

Oklahoma

6.9

Arkansas

8.1

Maryland

7.6

Oregon

11.8

California

9.1

Massachusetts

3.9

Pennsylvania

2.6

Colorado

16.8

Michigan

0.3

Rhode Island

0.5

Connecticut

3.3

Minnesota

7

South Carolina

13.7

Delaware

13

Mississippi

3.8

South Dakota

7.6

District of Columbia

4.8

Missouri

7

Tennessee

10.7

Florida

16

Montana

8.1

Texas

18.8

Georgia

20.1

Nebraska

5

Utah

24.7

Hawaii

6.9

Nevada

32.3

Vermont

2.1

Idaho

19.5

New Hampshire

7.2

Virginia

11.4

Illinois

4

New Jersey

3.5

Washington

13.1

Indiana

5.6

New Mexico

10.5

West Virginia

0.6

Iowa

2.8

New York

3

Wisconsin

5.4

Kansas

4.8

North Carolina

16.6

Wyoming

10.2

a. Construct a relative frequency distribution (5 pts) and draw a histogram of the data. (4 pts)

b.  Round the data to integers in percentage and then create a stem-and-leaf display of these data. (4 pts)

c.  Describe the shape of the distribution. (2 pts)

In: Statistics and Probability