A+ Answers





Case Assignment
Adding and Dropping Products
TYZ Company
Preparing a segmented income statement for various scenarios assists management in determining the estimated financial impact of making one choice over another. It is expected that you understand how costs behave and that you are familiar with the contribution margin concept. This case expands on these ideas by examining different types of fixed costs.
The company we are looking at in this module makes two products and is considering adding one more since the company has excess capacity. One aspect of making this decision is to screen the various scenarios to determine the potential profitability. Financial information alone does not tell us what to do, but it is a good start.
TYZ Company currently manufactures two products, Y and Z. The company has the capacity to make one additional product, with two (P1 and P2) currently under consideration. The forecasted annual sales and related costs for each “new” product are as follows.


Product P1
Product P2




Sales
$320,000
$320,000
Variable costs



Production (%)
50%
70%

Selling and administrative (%)
10%
5%
Direct fixed expenses
$25,000
$12,500
See below for the income statement for last year’s operations for TYZ Company.


Product Y
Product Z
Total
Sales

$275,000
$400,000
$675,000
Less variable expenses




Production
100,000
200,000
300,000

Selling and administrative
20,000
60,000
80,000
Contribution margin
$155,000
$140,000
$295,000

Less direct fixed expenses
10,000
55,000
65,000
Segment margin
$145,000
$85,000
$230,000

Less common fixed expenses


75,000
Net income


$155,000
=======
Common fixed costs are allocated to each product line on the basis of sales revenues.
Required:
Computations (use Excel).
Prepare a variable costing income statement that includes products Y, Z, and P1. Repeat for products Y, Z, and P2.
What if P2’s variable production costs were reduced to 55% of sales? Prepare another variable costing income statement to show the change.
Suppose that you could add both P1 and P2, if either Y or Z is dropped. Would you drop one of the current products to add both P1 and P2? Show computations in Excel that will support a written answer in the memo.
Memo (use Word).
Analyze the computations in Excel and evaluate the three related proposals before making a recommendation.
Do you recommend adding product P1 or P2?
Do the lower production costs change your recommendation?
See question 3 above.
Which of the products looks the most profitable? Assuming no restraint on customer demand or resources, which product would you choose in order to maximize profitability? What about qualitative, as opposed to quantitative, concerns?
Write a 4- or 5-paragraph memo to the owner of the business. Start with an introduction and end with a recommendation. Each of the four or five paragraphs should have a heading.
Short essay (use Word).
Read the background information and do additional research as needed to comment on the following topics.
Discuss the importance of understanding the difference between the contribution margin and segment margin for purposes of making business decisions.
Discuss and provide examples for complimentary and substitution effects when determining product mix.
Start with an introduction and end with a summary or conclusion. Use headings and include proper references. Maximum length of two pages.
Assignment Expectations
Each submission should include two files: (1) An Excel file; and (2) A Word document. The Word document shows the memo first and short essay last. Assume a knowledgeable business audience and use required format and length. Individuals in business are busy and want information presented in an organized and concise manner.

A+ Answers



Question 1
This question is worth 15 marks, and is designed to test your understanding of electric
potential and potential energy (Unit 9).
(a)Two point charges with q1=+3.2 × 10 separated by a distance of r =2.4 × 10 4 7 C and q
2= -4.8 × 10 7 C are initially m.
(i) How much energy is required to double their separation?
(ii) What is the electric potential at the point midway between the two charges when their
separation is 2r? (8 marks)
(b) A uniform electric field of magnitude 1.0 × 10 1 exists between two conducting plates, one of which is positively charged and the other of which is negatively charged. The plates are 10 mm apart.
(i) Calculate the magnitude of the potential difference between the plates.
(ii) If a proton is moved from the positive plate to the negative plate, what is the magnitude of the change in its electrostatic potential energy?
(iii) Sketch the electrostatic equipotentials between the two plates.
(iv) If this device operates as a capacitor, how is it able to store electrostatic potential energy?
Question 2
This question is worth 20 marks, and is designed to test your understanding of electrical circuits (Unit 10).
 (a) State in words Kirchhoff’s laws and Ohm’s law for electrical circuits. (4 marks)
(b)The circuit shown in Figure 1 can be used to measure the resistance of a platinum resistance thermometer (PRT). AB is a uniform resistance wire of length 1.0m and Cis a sliding contact on this wire. A standard resistor R is included in the circuit. The position of C is adjusted until the voltmeter V reads zero.
(i) By applying Kirchhoff’s laws to loops ADCA and BCDB, deduce an expression for the resistance of the PRT in terms of l,land the value of the standard resistor. (7 marks)
(ii) The PRT consists of 9.0 m of wire of diameter 8.0 × 10 when l 1 1 2 mm. The voltmeter reads 0 V =0.44 m. If the standard resistor, R, has a resistance of 224 O, what is the resistivity of platinum? (7 marks)

(c) Indicate briefly what factors might affect the precision of the measurement when using such a simple circuit to measure the resistance of the PRT. (2 marks)

A+ Answers




Question 1

A long-distance telephone company claims that the mean duration of long-distance telephone

calls originating in one town was greater than 9.4 minutes, which is the average for the state.
Determine the conclusion of the hypothesis test assuming that the results of the sampling do not

lead to rejection of the null hypothesis.

A. Conclusion: Support the claim that the mean is less than 9.4 minutes.

B. Conclusion: Support the claim that the mean is greater than 9.4 minutes.

C. Conclusion: Support the claim that the mean is equal to 9.4 minutes.

D. Conclusion: Do not support the claim that the mean is greater than 9.4 minutes.



A two-tailed test is conducted at the 5% significance level. What is the P-value required to reject

Question 2

the null hypothesis?

A. Greater than or equal to 0.10

B. Less than or equal to 0.05

C. Less than or equal to 0.10

D. Greater than or equal to 0.05



A nationwide study of American homeowners revealed that 65% have one or more lawn mowers.

Question 3

A lawn equipment manufacturer, located in Omaha, feels the estimate is too low for households

in Omaha. Find the P-value for a test of the claim that the proportion with lawn mowers in

Omaha is higher than 65%. Among 497 randomly selected homes in Omaha, 340 had one or more

lawn mowers. Use Table 5.1 to find the best answer.

A. 0.0559

B. 0.1118

C. 0.0252

D. 0.0505

Question 4

The principal of a middle school claims that annual incomes of the families of the seventhgraders

at his school vary more than the annual incomes of the families of the seventh graders at a

neighboring school, which have variation described by = $13,700.

Assume that a hypothesis test of the claim has been conducted and that the conclusion of the test

was to reject the null hypothesis.

Identify the population to which the results of the test apply.

A. The current seventh graders at the principal’s school

B. Seventh graders’ families at the school with a standard deviation of $13,700

C. All of the families of the class of seventh graders at the principal’s school

D. All seventh graders’ families

Question 5

 A researcher wants to check the claim that convicted burglars spend an average of 18.7 months

in jail. She takes a random sample of 35 such cases from court files and finds that months. Assume that the population standard deviation is 7 months. Test the null hypothesis that µ = 18.7 at the 0.05 significance level.

A. Do not reject the null hypothesis and conclude that the claim that the mean is different from 18.7 months is supported.

B. Do not reject the null hypothesis and conclude that the claim that the mean is different from 18.7 months cannot be supported.

C. Reject the null hypothesis and conclude that the claim that the mean is different from 18.7

months is supported.

D. Reject the null hypothesis and conclude that the claim that the mean is different from 18.7

months cannot be supported.

Question 6

In the past, the mean running time for a certain type of flashlight battery has been 9.8 hours. The

manufacturer has introduced a change in the production method and wants to perform a

hypothesis test to determine whether the mean running time has increased as a result. The

hypotheses are:



Suppose that the results of the sampling lead to rejection of the null hypothesis. Classify that

conclusion as a Type I error, a Type II error, or a correct decision, if in fact the mean running

time has not increased.

A. Type I error

B. Type II error

C. Correct decision

D. Can not be determined from this information

Question 7

A skeptical paranormal researcher claims that the proportion of Americans that have seen a UFO

is less than 1 in every one thousand. State the null hypothesis and the alternative hypothesis for a

test of significance.

Question

A right-tailed test is conducted at the 5% significance level. Which of the following z-scores is

the smallest one in absolute value that leads to rejection of the null hypothesis? 

A. 1.61

B. 1.85

C. -1.98

D. -2.06

Question 9

A study of a brand of “in the shell peanuts” gives the following results:

A significant event at the 0.01 level is a fan getting a bag with how many peanuts?

A. 30 peanuts

B. 25 or 30 peanuts

C. 25 or 55 peanuts

D. 25 peanuts



A psychologist claims that more than 19 percent of the population suffers from professional

Question 10

problems due to extreme shyness. Assume that a hypothesis test of the claim has been conducted

and that the conclusion of the test was to reject the null hypothesis. Identify the population to

which the results of the test apply.

A. The population is all shy workers.

B. The population cannot be identified from the description of the study.

C. The population is all American workers.

D. The population is all American professional workers (doctors, lawyers, CPA’s, and the like..

Question 11

A consumer group claims that the mean running time for a certain type of flashlight battery is not

the same as the manufacturer’s claims. Determine the null and alternative hypotheses for the test

described.

In 1990, the average duration of long-distance telephone calls originating in one town was 9.4

minutes. A long-distance telephone company wants to perform a hypothesis test to determine

whether the average duration of long-distance phone calls has changed from the 1990 mean of 9.4

minutes. The mean duration for a random sample of 50 calls originating in the town was 8.6

minutes. Does the data provide sufficient evidence to conclude that the mean call duration, µ, is

different from the 1990 mean of 9.4 minutes? Perform the appropriate hypothesis test using a

significance level of 0.01. Assume that = 4.8 minutes.

A. With a z of -1.2 there is sufficient evidence to conclude that the mean value has changed from the 1990 mean of 9.4 minutes.

B. With a P-value of 0.2302 there is not sufficient evidence to conclude that the mean value is less than the 1990 mean of 9.4 minutes.

C. With a P-value of 0.2302 there is sufficient evidence to conclude that the mean value is less than the 1990 mean of 9.4 minutes.

D. With a z of –1.2 there is not sufficient evidence to conclude that the mean value has changed from the 1990 mean of 9.4 minutes.

Question 13

If a fan purchased a bag with 30 peanuts, what is the lowest level at which this would be a

significant event?

A. 0.05

B. 0.025

C. 0.01

D. It is not significant at any of the levels given

The owner of a football team claims that the average attendance at home games is over 3000, and

Question 14

he is therefore justified in moving the team to a city with a larger stadium. Assuming that a

hypothesis test of the claim has been conducted and that the conclusion is failure to reject the null

hypothesis, state the conclusion in non-technical terms.

A. There is sufficient evidence to support the claim that the mean attendance is greater than

3000.

B. There is sufficient evidence to support the claim that the mean attendance is equal to 3000.

C. There is not sufficient evidence to support the claim that the mean attendance is greater than

3000.

D. There is not sufficient evidence to support the claim that the mean attendance is less than

3000.

Question 15

A manufacturer claims that the mean amount of juice in its 16 ounce bottles is 16.1 ounces. A

consumer advocacy group wants to perform a hypothesis test to determine whether the mean

amount is actually less than this. The mean volume of juice for a random sample of 70 bottles

was 15.94 ounces. Do the data provide sufficient evidence to conclude that the mean amount of

juice for all 16-ounce bottles, µ, is less than 16.1 ounces? Perform the appropriate hypothesis test

using a significance level of 0.10. Assume that  = 0.9 ounces. 

A. The z of  1.49 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.

B. The z of  1.49 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.

C. The z of  0.1778 does not provide sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.

D. The z of  0.1778 provides sufficient evidence to conclude that the mean amount of juice is less than 16.1 oz.

A psychologist claims that more than 29 percent of the professional population suffers from

Question 16

problems due to extreme shyness. Assuming that a hypothesis test of the claim has been

conducted and that the conclusion is failure to reject the null hypothesis, state the conclusion in

non-technical terms.

A. There is sufficient evidence to support the claim that the true proportion is less than 29

percent.

B. There is not sufficient evidence to support the claim that the true proportion is greater than 29

percent.

C. There is sufficient evidence to support the claim that the true proportion is equal to 29 percent.

D. There is sufficient evidence to support the claim that the true proportion is greater than 29

percent.

The owner of a football team claims that the average attendance at home games is over 4000, and

Question 17

he is therefore justified in moving the team to a city with a larger stadium. Assume that a

hypothesis test of the claim has been conducted and that the conclusion of the test was to reject

the null hypothesis. Identify the population to which the results of the test apply.

A. All games played by the team in question in which the attendance is over 4000

B. All future home games to be played by the team in question

C. All home games played by the team in question

D. None of the populations given are appropriate

Question 18

without computing a P-value, determine whether the alternate hypothesis is supported and give a

reason for your conclusion.

is less than 1 standard deviation above the claimed mean.

is more than 4 standard deviations above the claimed mean.

is less than 1 standard deviation above the claimed mean.

is more than 4 standard deviations above the claimed mean.

Question 19

At one school, the mean amount of time that tenth-graders spend watching television each week

is 18.4 hours. The principal introduces a campaign to encourage the students to watch less

television. One year later, the principal wants to perform a hypothesis test to determine whether

the average amount of time spent watching television per week has decreased.

Formulate the null and alternative hypotheses for the study described.

Question 21

Which of the following statements is true?

A. The t distribution can be used when finding a confidence interval for the population mean

whenever the sample size is small.

B. The p distribution can be used when finding a confidence interval for the population mean

whenever the sample size is small.

C. The t distribution cannot be used when finding a confidence interval for the population mean

whenever the sample size is small.

D. The p distribution cannot be used when finding a confidence interval for the sample mean

whenever the sample size is small.

Question 22

A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 24.8.

What is the margin of error?

A. 4.4

B. 4.6

C. 4.8

D. 5.0

The __________ test statistic is for the one-way analysis of variance.

Question 23

A. P-Value

B. t

C. F

D. p

Question 24

A simple random sample from a normal distribution is taken in order to obtain a 95% confidence

interval for the population mean. If the sample size is 8, the sample mean x is 22, and the sample

standard deviation s is 6.3, what is the margin of error? Show your answer to 2 decimal places.

A. df = 7; E = 3.3445.38 = 5.6566

B. df = 8; E = 3.3445.38 = 5.6566

C. df = 6; E = 2.3656.38 = 5.769

D. df = 7; E = 2.3656.38 = 5.869

Question 25

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent. The following counts were observed.

Colorblind Not Colorblind Total

Male 7 53 60

Female 1 39 40

Total 8 92 100

Find the value of the X

A. 1.325

B. 1.318

C. 1.286

D. 1.264

Question 26

A 95% confidence interval for the mean of a normal population is found to be 13.2 < µ < 22.4.

What is the margin of error?

A. 4.6

B. 4.4

C. 4.2

D. 5.6

Question 27

A golfer wished to find a ball that would travel more than 170 yards when hit with his 6-iron with a club head speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 12 times at the required speed.

Data from this test had a sample mean of 171.6 yards with a sample standard deviation of 2.4

yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to determine

whether the ball meets the golfer’s requirements. Use the partial t-table below.

Area in one tail

Area in two tails

Degrees of

Freedom





Accept the null hypothesis. The data do not provide sufficient evidence that the average distance

is greater than 170 yards.

B. Accept the null hypothesis. The data do provide sufficient evidence that the average distance

is greater than 170 yards.

C. Reject the null hypothesis. The data do not provide sufficient evidence that the average

distance is greater than 170 yards.

D. Reject the null hypothesis. The data do provide sufficient evidence that the average distance is

greater than 170 yards.

Question 28

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent.

The critical value of X 2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of

the X 2 statistic is 3.179, state your conclusion about the relationship between gender and

colorblindness..

There is sufficient evidence to support the claim that gender and colorblindness are not related.

D. There is not sufficient evidence to accept or reject H

Question 29

A golfer wished to find a ball that would travel more than 170 yards when hit with his 6-iron with a club head speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 12 times at the required speed. State the null and alternative

hypotheses for this test.

Question 30

The following data were analyzed using one-way analysis of variance.

A B C

34 27 19

26 23 21

31 29 22

28 21 12

Which one of the following statements is correct?

A. The purpose of the analysis is to determine whether the groups A, B, and C are independent.

B. The purpose of the analysis is to test the hypothesis that the population means of the three

groups are equal.

C. The purpose of the analysis is to test the hypothesis that the population variances of the three

groups are equal.

D. The purpose of the analysis is to test the hypothesis that the sample means of the three groups

are equal.

Question 31

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent. The following counts were observed.

Colorblind Not Colorblind Total

Male 7 53 60

Female 1 39 40

Total 8 92 100

If gender and colorblindness are independent, find the expected values corresponding to the male

combinations of gender and colorblindness.

A. Colorblind Male 4.8; Not Colorblind Male 55.2

B. Colorblind Male 6.8; Not Colorblind Male 53.2

C. Colorblind Male 4.8; Not Colorblind Male 55.4

D. Colorblind Male 4.8; Not Colorblind Male 56.2

Question 32

A golfer wished to find a ball that would travel more than 180 yards when hit with his 5-iron with a club speed of 90 miles per hour. He had a golf equipment lab test a low compression ball by having a robot swing his club 7 times at the required speed.

Data from this test resulted in a sample mean of 184.2 yards and a sample standard deviation of

5.8 yards. Assuming normality, carry out a hypothesis test at the 0.05 significance level to

determine whether the ball meets the golfer’s requirements. Use the partial t-table below.

A.

Reject the null hypothesis. The data do not provide sufficient evidence that the average distance

is greater than 180 yards.

B. Reject the null hypothesis. The data do provide sufficient evidence that the average distance is

greater than 180 yards.

C. Do not reject the null hypothesis. The data do provide sufficient evidence that the average

distance is greater than 180 yards.

D. Do not reject the null hypothesis. The data do not provide sufficient evidence that the average

distance is greater than 180 yards.

Question 33

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent.

The critical value of X 2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of

the X 2  statistic is 4.613, state your conclusion about the relationship between gender and

colorblindness.

A. Reject H

There is not sufficient evidence to support the claim that gender and colorblindness

are related.

B. Reject H

There is sufficient evidence to support the claim that gender and colorblindness are

related.

C. Do not Reject H. There is sufficient evidence to support the claim that gender and

colorblindness are related.

D. Do not Reject H. There is not sufficient evidence to support the claim that gender and

colorblindness are related.

Question 34

A 95% confidence interval for the mean of a normal population is found to be 15.6 < µ < 25.2.

What is the margin of error?

A. 3.9

B. 4.8

C. 4.9

D. 3.7

Question 35

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent. The following counts were observed.

Colorblind

Not

Colorblind

Total

Male 8 52 60

Female 2 38 40

Total 10 90 100

State the null and alternative hypothesis for the test associated with this data.: Colorblindness and gender are related in some way.

Question 36

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent. The following counts were observed.

Colorblind Not Colorblind Total

Male 7 53 60

Female 1 39 40

Total 8 92 100

State the null and alternative hypothesis for the information above.

Question 37

The margin of error in estimating the population mean of a normal population is E = 9.3 when the

sample size is 15. If the sample size had been 18 and the sample standard deviation did not

change, would the margin of error be larger or smaller than 9.3? Explain your answer.

A. Smaller. E decreases as the square root of the sample size gets larger.

B. Smaller. E increases as the square root of the sample size gets larger.

C. Larger. E decreases as the square root of the sample size gets larger.

D. Larger. E increases as the square root of the sample size gets larger.

Question 38

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent. The following counts were observed.

Colorblind

Not

Colorblind

Total

Male 8 52 60

Female 2 38 40

Total 10 90 100

Find the value of the X

A. 1.463

2

statistic for the data above.

B. 1.852

C. 1.947

D. 1.949

Question 39

One hundred people are selected at random and tested for colorblindness to determine whether

gender and colorblindness are independent. The following counts were observed.

Colorblind

Not

Colorblind

Total

Male 8 52 60

Female 2 38 40

Total 10 90 100

If gender and colorblindness are independent, find the expected values corresponding to the four

combinations of gender and colorblindness, and enter them in the following table along with row

and column totals.

Colorblind Not Total

Colorblind

Male    

Female    

Total     



A. Male Colorblind 6.0; Male Not Colorblind 54.0

B. Male Colorblind 7.0; Male Not Colorblind 53.0

C. Male Colorblind 8.0; Male Not Colorblind 52.0

D. Male Colorblind 6.0; Male Not Colorblind 53.0

Question 40

Which of the following statements is true?

A. The p distribution cannot be used when finding a confidence interval for the population mean

with a small sample anytime the population standard deviation is unknown.

B. The t distribution can be used when finding a confidence interval for the population mean

with a small sample anytime the population standard deviation is unknown.

C. The t distribution cannot be used when finding a confidence interval for the population mean

with a small sample anytime the population standard deviation is unknown.

D. The p distribution can be used when finding a confidence interval for the population mean

with a small sample anytime the population standard deviation is unknown.

Javascript




Write a simple Javascript game with the following features. This game is based on the game with three cups with a ball hidden under one of them. The user interface should show : -Three cups -A “Mix Up Cups” button. -Something showing the current points balance. Once the user clicks the button the Javascript program should randomly decide which cup the ball will be under. The user will then be prompted to click on the cup which they think the ball is under. If they are correct they get a point, if they are incorrect they lose a point. They should be informed whether their guess was correct and there should be something on the page to indicate their current points balance. Their starting points balance should be 3. If they drop to zero at any stage the game is over

A second integer representing the count of numbers to be selected from the




A second integer representing the count of numbers to be selected from the large pool. Note: Because the largest MIPS single precision integer value will not hold the value of more than 12!, you will need to use some algebra to simplify the calculations. With the simplifications, all the math can be done using the integer multiply. Additionally, it is expected that your program will handle correctly only a small subset of all the possible probability / odds calculations. You can use the fact that the number of balls selected will be less than 12, and that you can use the provided factorial subroutine. Use the System Calls on page A-44 for the input and output. The work products of this assignment are: 1) A copy of the source program. 2) Screen captures showing the output results. [ 150 points ]· An integer representing the large pool of possible numbers. ·The subroutine example on the following page, calculates the Factorial of an input integer. Starting with the code in the example, write a correct program in MIPS - SPIM assembly language that: 1) Calculates the odds of winning the Power Ball grand prize jackpot. 2) The calculated value is to be displayed on the SPIM screen with the appropriate commentary text. Such as “the odds are 1 in nnnn.” 3) Test your program by calculating the odds of choosing a set of 3 numbers from a set of 7 numbers. 4) The program is to accept as input: 

pfctrl:

sw $ra, 4($sp) # ***** the return address

sw $a0, 0($sp) # ***** the current value of n

addi $sp, $sp, -8 # ***** stack pointer

slti $t0, $a0, 2 # ***** 1 iteration, n=0 or =1;n!=1

beq $t0, $zero, L1 # ***** calculate n(n-1)!

addi $v0, $zero, 1 # *****=1; n!=1

jr $ra # ***** multiply

L1:

addi $a0, $a0, -1 # ***** := n-1

jal pfctrl # ***** (n-1)!

addi $sp, $sp, 8 # ***** the stack pointer

lw $a0, 0($sp) # ***** saved (n-1)

lw $ra, 4($sp) # ***** return address

mul $v0, $a0, $v0 # ***** (n)*(n-1)

jr $ra # ***** value n!

A+ Paper




use at least one project you have been a team member of, or a project manager for, as an example to contextualize the research topics below:

All of the following topics must be addressed in order for the paper to be complete:
Define the importance of purchasing and supply management and how this relates to selecting a qualified supplier.
Discuss how to select strategies for negotiating prices.
Assemble the steps of the creation of a project supply, service, and material budget from detailed requirements.
Illustrate the benefits and costs of outsourcing, and the growth pattern of outsourcing.
Evaluation of the various organizations that are benchmarks in purchasing and supply management, and their best practices. Provide specific examples of companies who show market leadership in purchasing and supply management.
The paper must be a minimum of eight double-spaced pages. It is mandatory to have research from the textbook, as well as three other scholarly sources to support your views. ***Access information to the online textbook will be provided in a separate document***

Writing the Research Paper
Must be eight to ten double-spaced pages in length.
Must begin with an introductory paragraph that has a succinct thesis statement.
Must address the topic of the paper with critical thought.
Must end with a conclusion that reaffirms your thesis.
Must use at least three scholarly sources, in addition to the textbook.
At least one reference to all four sources is required – one from the text, and one from each of the three scholarly sources of your choice.

Please place the direct quotes and/or paraphrases from each source in QUOTATION MARKS to be easily identified for editing purposes.


Provide the web link to each source at the bottom of the document, or properly cite and reference the source in APA format.

unit 6 [GB513: Business Analytics]




You will prepare a PowerPoint presentation to present your findings. This assignment requires you to use Excel. Make sure you also submit the Excel file to show your work as you will receive a 100 point deduction if you fail to include the Excel file showing your work. Place all calculations for each of the questions on a separate worksheet. Then, using the results of your work from Excel, prepare PowerPoint slides to answer the questions in a presentation format. All relevant content should be on the slides, do not use the notes section or leave information in the Excel file. The executives reviewing the presentation should not need to switch to another document to see the required information. The data you need is linked from the spreadsheet icon in the course.  Make sure to use that file.
Directions

For your Final Project, you will be analyzing the “Colonial Broadcasting” case. Begin by reading
the description in the case. Then answer the questions listed below, NOT the questions listed in the case. Ignore everything in the case after the end of page 4.
The executives at CBC want to see how they are doing in ratings against the other networks and how the ratings will continue to change in the upcoming months. They also want to know if hiring stars makes a difference and the impact of fact-based programming compared to hiring stars. You will create a PowerPoint presentation to answer the questions below. Remember that your audience is the management of CBC. Therefore, make sure your presentation is professional and provides sufficient explanation.
1.  Answer the following questions:
a.  What is the average rating for all CBC movies? How about ABN movies and BBS movies?
b.  Include a table that shows the average and the other descriptive statistics (using the data analysis toolpack in Excel) for the ratings of the three networks (one column for each network). Explain what you learn from each of the metrics in the table.
c.  Comment on which network is doing best.
2.  Create a line graph of the monthly average ratings for CBC for the year. Note that there are
multiple ratings data for the months; you will need to calculate an average for each month first,
and then plot the averages. After you create the graph, fit a linear trend line, displaying the
formula and the r-squared. Explain to the executives if you can use this time series data to
forecast the ratings of upcoming months. How accurate can you expect this forecast to be?
3.  Should the CBC hire stars for their movies? To answer this question, run a hypothesis test to
see if there is a significant difference between the ratings of movies with stars versus movies
without stars. Use the data for CBC movies only. Use 95% confidence. Answer the following:
a.  What are the null and alternative hypotheses (state in full sentences)?
b.  Run the test using Excel and include the output table. Use a t-test assuming equal variances.
c.  What is your recommendation to the executives? Justify your answer referring to the
relevant figures.
4.  Run a multiple regression where the dependent variable is ratings and the independent
variables are star and fact. Use data from CBC only. CBC Management has several questions:
a.  Which has more impact on a movie’s rating: being fact based or having one star? How
much does each of these factors change the ratings?
b.  How well does this regression analysis explain the ratings? Justify your answers
referring to the relevant figures.
c.  Are either, both, or neither of the independent variables significantly related to the
ratings at 95% confidence? Justify your answers referring to the relevant figures.

Appropriate explanation and analysis of what is learned from each of the metrics in the descriptive statistics table.
Question 2
Correct line graph using the calculated average monthly ratings of CBC for the year, showing r-squared and the formula.
Question 2
 Summary to executives regarding whether the linear forecast can be used to project ratings, including an assessment of how accurate the forecast can be expected to be.
Question 3
Correct null and alternative hypotheses stated in full sentences.
Question 3
 Accurate hypothesis test results.
Question 3
Correct recommendation and justification for whether CBC should hire stars.
Question 4
 Appropriate explanation of whether the movie includes a star or whether it is fact based has more impact on a movie’s rating.
Question 4
 Explanation of how well this regression analysis explains the ratings.
Question 4
 Accurate identification and justification of which variables are significantly related to ratings.
PowerPoint is formatted appropriately and communicated clearly.



Calculations Shown




1) Given a sample with 5 scores: 4, 6, 8, 10, and y, and the mean of this sample is 6, what is the variance of the sample? (Hint: first find y).
2) Given a population mean weight of 150 pounds and a population standard deviation 40 pounds, express an individual weight of 200 pounds as a z-score. (to two decimal places, e.g.: 3.21 or 6.00)

3) Find the correlation coefficient for these scores (they are given in the form (x1,y1), (x2,y2) etc): (0,1), (10,3), (4,1), (8,2), (8,3) (express this to 3 decimal places, e.g.: .123 or -.456)

4) Use the least squares regression equation to find the predicted Y value for an X value of 5, given: r = .3, SSy=64 , SSx=4 , mean of y= 30, mean of x= 10
5) You're going skydiving, because you're awesome. The main parachute has to do two things to keep you alive: release when you pull the cord, (probability of releasing = .9) AND unfold properly (probability of unfolding = .8). Unfolding is independent of releasing. OR, if anything goes wrong, your backup parachute will save you (probability of backup working = .7). The backup parachute only comes into play if the first parachute fails. What is the probability that you survive, i.e. that either your primary OR secondary parachute will work? (Hint: this combines both independent and mutually exclusive events, and the answer will be greater than .9). Give the answer to three decimal places, e.g.: .999
6) Does eating vegetables instead of delicious foods affect how long you live? Given a population life expectancy of 75 years with population standard deviation 5 years, What is the z-value for a random sample of 25 vegans who live to an average age of 73? Does this alter life expectancy at a .05 level of significance? Type the z-value in box 1 to two decimal places (e.g. 3.45), and in box 2 type either yes or no (yes if this is statistically significant and you reject the null, no if it is not significant and you fail to reject the null).
7) A similar follow-up study is done on a sample of 25 meat-lovers who never eat vegetables, again randomly selected from the same general population (population mean life expectancy = 75, population standard deviation = 5). This new sample of meat-eaters live to an average age of 77. What is the lower limit and upper limit of the 95% confidence interval for the life expectancy of this sample of meat-lovers? Type the lower limit in box 1 and the upper limit in box 2, to two decimal places in each case.
8) Is working out every day BETTER than working out every other day but for twice as long? A random sample of 42 people are assigned to two groups of equal size: Group 1 works out every day for one hour, Group 2 works out every other day for two hours, and then after a month they are tested for how many pushups they can do in one minute. Group 1 participants do an average of 43 pushups, Group 2 participants do an average of 32 pushups. Given an estimated standard error of 6 pushups, what is the t-value? Is the Group 1 workout plan statistically significantly BETTER than the Group 2 workout plan, at the .05 level? Give the calculated t-value to two decimal places in box 1, and in box 2 type either yes (if it is statistically significant and you reject the null) or no if it is not significant.


9) Does study group size affect test performance? From a large class of students, 12 are selected to study for a test either all alone, with a partner, or with a group of other students. The four students who studied alone scored: 7, 10, 9, and 6; the four students who studied with a partner scored: 8, 8, 9, and 7; and the four students who studied in groups scored: 7, 6, 4, and 3. What is the F-value for this study (type in box 1 to two decimal places), and is there a statistically significant effect of study group size on test performance at the .05 level, based on this data (type yes or no in box 2)?

10) Do blondes have more fun? Walking around downtown saturday night, you ask people whether they had a boring time, a good time, or a great time that night, and note their hair color. Out of 80 blondes: 20 had a boring night, 20 had a good night, and 40 had a great night. out of 120 non-blondes: 30 had a boring night, 40 had a good night, and 50 had a great night. What is the chi-square value for this data (type in box 1 to two decimal places) and is there statistically significant relationship between hair color and fun at the .05 level (type yes or no in box 2)?

literature



 Details:

Select two pieces of literature from a culture that you have already met.


In an essay (500-750 words), show how the worldview is communicated through the use of various literary devices. Use at least two scholarly sources, outside of the course readings, to support your view












Calculations Shown




1. Tress Enterprises manufactures shampoo and conditioner.
Last year, Tress sold 120,000 bottles of product. Unit sales of conditioner amounted to 60% of the number of units of shampoo.
This trend is expected to continue. The selling price for both products is $12.00; however, the variable cost of a unit of shampoo is $6.00, while the variable cost of a unit of conditioner is $8.00. Fixed costs are expected to be $420,000.
a. Compute the number of each product sold.
b. Compute the weighted-average contribution margin per unit.
c. Compute the overall break-even point in units.
d. Compute the unit sales of shampoo and conditioner at the break-even point.
e. Compute the dollar sales of shampoo and conditioner at the break-even point.

2. Hoctor Industries wishes to determine the profitability of its products and asks the cost accountant to make a comparative analysis of sales, cost of sales, and distribution costs of each
product for the year. The accountant gathers the following information, which will be useful in preparing the analysis:
Standard Deluxe
Number of units sold 500,000 350,000
Number of orders received 15,000 4,000
Selling price per unit $10 $20
Cost per unit $ 4 $12
Advertising expenses total $100,000, with 60% being expended to advertise the Deluxe model. The representatives’ commissions are 5% and 7% for the standard and deluxe models,
respectively. The sales manager’s salary of $50,000 is allocated evenly between products. Other miscellaneous selling costs are estimated to be $6 per order received.
a. Compute the selling cost per unit.
b. Prepare an analysis for Hoctor Industries that shows in comparative form the income derived from the sale of each unit for the year

A+ Answers



1) Use analysis of variance rather than a t test whenever the null hypothesis makes a claim about:

a. more than one population mean

b. more than two population means

c. the population variance

d. the population shape

e. a t-test can be used in all of these cases



2) A treatment effect probably exists if:

a. total variability exceeds the sum of the variability between groups and the variability within groups

b. variability between groups and variability within groups are approximately equivalent

c. variability within groups clearly exceeds variability between groups

d. variability between groups clearly exceeds variability within groups



3) Any sum of squares term always equals the:

a. sum of the deviations of squared scores about their mean

b. sum of the squared deviations of all scores about their mean

c. square of the sum of all scores

d. deviations of all scores about their squared mean



4) Given an ANOVA with 4 and 50 degrees of freedom for between and within, respectively, how many subjects were there altogether?

a. 50

b. 51

c. 54

d. 55

e. 56



5) Rejection of the overall null hypothesis in an ANOVA always indicates that:

a. at least one population mean differs from all others

b. two or more population means differ from all the others

c. all populations means are different from each other

d. all of the above



6) When all possible differences between pairs of population means are evaluated not with an F test, but with a series of regular t tests, the probability of at least one:

a. type II error is larger than the specified level of significance.

b. type I error is larger than the specified level of significance.

c. type I error is smaller than the specified level of significance.

d. type II error is smaller than the specified level of significance.







7) Which of the following is NOT true in ANOVA?

1. the combined degrees of freedom for between and within variability add up to equal the total degrees of freedom

2. the combined sum of squares (SS) for between and within variability add up to equal the total sum of squares

3. the combined degrees of freedom for between and within variability add up to equal the total number of subjects

4. all of these are true



8) If the null hypothesis is true in a chi-square test, discrepancies between observed and expected frequencies will tend to be:

a. small enough to qualify as a rare outcome

b. large enough to qualify as a rare outcome

c. small enough to qualify as a common outcome

d. large enough to qualify as a common outcome



9) In the one-variable chi-square test, degrees of freedom equal:

a. the total number of observations

b. one less than the total number of observations

c. the total number of categories

d. one less than the total number of categories

e. none of these



10) In an observed sample of 200 people, 100 males and 100 females, 30 males are conservative (70 are liberal), and 20 females are conservative (80 are liberal). What is the expected frequency of liberal males?

a. 50

b. 70

c. 75

d. 100

e. none of these



11) To use chi-square properly, all of the following must be true EXCEPT:

a. the total number of subjects equals the total number of observed frequencies

b. none of these needs to be true

c. every observed frequency is five or more

d. all of these must be true

e. every expected frequency is five or more