This order includes 4 separate assignments with a timeline to follow

 

ASSIGNMENT 1

 

3-page Essay

Due date: Mar 10th, 2022 7:00 PM

3 sources required

 

Using your textbook, LIRN-based research, and the Internet, provide a complete solution to the Case Problem (Specialty Toys) presented at the end of Chapter 6 in the textbook. Include in-text citations.

 

Prepare a managerial report that addresses the following issues and recommends an order quantity for the weather Teddy product. In your report, answer the following five questions:

1.     Use the sales forecasters prediction to describe a normal probability distribution that can be used to approximate the demand distribution.

a.     Sketch the distribution and show its mean and standard deviation.

2.     Compute the probability of a stockout for the order quantities suggested by members of the management team.

3.     Compute the projected profit for the order quantities suggested by the management team under three scenarios: worst case in which sales = 10,000 units, most likely case in which sales = 20,000 units, and best case in which sales = 30,000 units.

4.     One of Specialtys managers felt that the profit potential was so great that the order quantity should have a 70% chance of meeting demand and only a 30% chance of any stock outs. What quantity would be ordered under this policy, and what is the projected profit under the three sales scenarios?

5.     Provide your own recommendation for an order quantity and note the associated profit projections. Provide a rationale for your recommendation.

 

 

ASSIGNMENT 2

 

7-page Essay

Due date: Mar 24th, 2022 7:00 PM

8 sources required

 

Please provide complete solutions to the following problems. Explain your work in detail and justify the use of the statistic in each case. You may start with a non-directional test and then do a directional test if applicable.

Problems 64 and 72 in Supplementary Exercises presented at the end of Chapter 9.

Problems 41 and 44 in Supplementary Exercises presented at the end of Chapter 10. In problem 41 you may assume that the distribution of data is normal.

Problem 27 in Supplementary Exercises presented at the end of Chapter 11

 

 

ASSIGNMENT 3

 

3-pages Essay

Due date: April 7th, 2022 7:00 PM

3 sources required

Read the Case Problem 3 (Selecting a Point and Shoot Digital Camera) presented at the end of Chapter 14 in the textbook. Answer the following questions:

 

1.     Develop numerical summaries of the data.

2.     Using overall score as the dependent variable, develop three scatter diagrams, one using price as the independent variable, one using the number of megapixels as the independent variable, and one using weight as the independent variable.

a.     Which of the three independent variables appears to be the best predictor of overall score?

3.     Using simple linear regression, develop an estimated regression equation that could be used to predict the overall score given the price of the camera.

a.     For this estimated regression equation, perform an analysis of the residuals and discuss your findings and conclusions.

4.     Analyze the data using only the observations for the Canon cameras.

a.     Discuss the appropriateness of using simple linear regression and make any recommendations regarding the prediction of overall score using just the price of the camera.

 

Provide your work in detail and include in-text citations. Include a graph of the regression line in the scatterplot.

Please be sure to include in-text citations and peer reviewed references in APA format in your discussion post.

 

 

ASSIGNMENT 4

 

7-page Essay

Due date: April 10th, 2022 7:00 PM

8 sources required

 

Answer the following questions. Provide detailed answers and include in-text citations.

  1. Please explain what is a binomial distribution. 

a.              What is the symmetry property of this distribution? 

b.              How do you find the mean, the variance and the standard deviation of this distribution? 

c.              Provide a simple example of binomial distribution.

2.              Answer exercise 66 presented in the Supplementary Exercises at the end of Chapter 5 in the textbook. (Parts a, b, and c only)

3.              Explain the sign nonparametric test. 

a.              What is the objective of this test and how the corresponding hypotheses are formulated? 

b.              What is the approach to test the hypotheses using the binomial distribution for both non-directional and directional cases?

4.              A survey of 40 home prices in a metropolitan area has the following results.

Price

Less than $200,000

Equal to $200,000

More than $200,000

Number of homes

13

1

27

a.              Test the hypothesis that the median price in the metropolitan is $200,000

b.              Test the hypothesis that the median price in the metropolitan is more than $200,000

= 0.05 in both cases. Include hypothesis formulation, use the binomial approach, and explain your calculations in detail. Include p values in both cases.

5.              It can be conjectured that the annual return a security and the market return are related by the following regression model

y=mx+b+

Where y is the annual return of the security, x is the annual return of the market, b is the intercept, is the normally distributed noise, and

Return = value at end of the year + received dividends during the year – value at the beginning of the year. 

a.              Test this model by retrieving annual data on a security of your choice. 

b.              Choose a financial index such as S&P 500 as the indicator of the market, and retrieve the data. 

c.              Use the most recent 20 years as the time span of the data. 

d.              Perform regression analysis and make sure to include the hypothesis in your study. 

e.              Provide your results and write your conclusions. Include all relevant information and conclusions, significances, the final regression model, coefficient of determination, graph of the regression line accompanied in the scatterplot, extent of residuals, and normality of residuals. 

f.               Does the model seem to be valid according to your study? 

g.              If so, is the influence positive or adverse? 

h.              If you conclude influence, then your regression model indicates outperformance or underperformance of the market? 

i.               Explain all your work in detail.         

 

Please be sure to include in-text citations and peer reviewed references in APA format in your discussion post.