Assignment: Quantitative Methods for Accounting & Finance

TSTA 401– Quantitative Methods for Accounting & Finance (worth 20%)

Case Study, An Individual Assignment, Due: 14 October by 10:00 am

Structure of the assignment: Your report must include the following sections, respectively:

1) Executive Summary (100 words). This section include:

● the primary purpose of the study

● the general methodology used

● the significant findings of each section and general conclusions

● recommendations.

2) Table of Contents with page numbers

3) Business Problem which is restatement of the primary purpose in business language.

4) Statistical problem includes methods you have used to do your analysis.

5) Analysis: This section should present the answers to all the questions.

6) General Conclusion: This section should briefly review and summarize the inference(s).

Also indicate the limitations of the results and your recommendations for action (based on what you have found in your study). In other words, give an overall conclusion which combines all of the two parts of the questions. Be clear in the conclusion that you draw from your analysis, and provide useful suggestions to the company’s CEO to understand what kind of products need to be produced by the new production line.

IMPORTANT:

• It is compulsory for all students to submit their assignments (only final version) to Turnitins via Moodle BEFORE submitting the hard copy in the lecture. Then an ‘originality report’ will automatically be sent to the Lecturer. Otherwise your assignment will not be marked and you will be awarded a ZERO for this assessment task.

• You must submit your assignment to Turnitin via Moodle before the due date. No assignment will be accepted by Turnitins after the 10:00 am on 14 October 2019. You need to submit a hard copy of the same version in the lecture on 14 October 2019.

• Including the Turnitins report at the end of your assignment is needed.

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Strictly no manual calculation!

PRESENTATION OF ASSIGNMENT

1. Each part requires an output from any statistical computer package (Minitab, Excel/PHStat, R etc.). The statistical output must be provided.

2. Your report can be maximum 2000 words (including tables and figures), penalties will be applied if the report is longer than this.

3. Set the font to Times New Roman, size to 12 and line spacing 1.5 for your report.

4. Do not present the data in your assignment.

5. Correct grammar and spelling is important.

6. Insert an assignment cover sheet/ signed as own.

7. Tables/graphs should be properly prepared, numbered and labelled.

8. No broken table or graph across two pages.

9. Page number is necessary.

Summary of Marking Guide Marks awarded will be based on presentation (10%) and analysis (90%).

Total 100 Format 10 Analysis 90 Executive Summary 10

Business Report 5

Statistical problem 5

Part 1 question 1 10

Part 1 Question 2 10

Part 2 Question 1 10

Part 2 Question 2 10

Part 2 Question 3 5

Part 2 Question 4 15

General Conclusion 10

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ANALYSIS An Australian manufacturing company is keen to develop new products and develop new product line of shoes so that the company can expand into Asian markets more than before.

The data have been collected for 99 products from the market. The data are in an excel file named “SHOES”. The file includes:

PRICE: Price of the shoes in dollars.

GENDER: 1 for Female product and 2 for Male product.

COUNTRY: the country in which the shoes is produced: 1 made in Thailand, 2 made in Singapore and 3 made in China.

COST: Production cost of the shoes in dollars. QUESTIONS

Part 1:

1. Calculate the Mean, Median, Mode, Standard Deviation and Coefficient of Variation, for prices for men and women shoes, separately. Compare the figures and explain what conclusions you can draw from these analyses? Draw a box and Whisker plot for men and female shoes prices and comment on the shape of the graph.

2. Calculate the Mean, Median, Mode, Standard Deviation and Coefficient of Variation for prices for the three countries – Thailand, Singapore and China, separately. Compare the figures and explain what conclusions you can draw from these analyses? Draws a Box and Whisker plot for each country and comment on the shape of the graph.

Part 2:

Answer the following hypothesis questions:

1. Determine if average prices for female shoes is less than average prices for male shoes. Compare the result with part 1 question 1. Does the result confirm your previous findings?

(Follow the hypothesis testing steps, 0.05 level of significance, assuming “none equal variances” of populations).

2. Determine if there is a difference in shoes prices in different countries. Compare the result with part 1 question 2. Does the result confirm you previous findings? (Follow the hypothesis testing steps, 0.05 level of significance).

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3. Using a scatter graph of the price (Y variable on the vertical axis) and production cost (X variable, horizontal axis), comment on the relationship between price and cost.

4. Using regression analysis comment on the relationship between price and production cost. (comment about the estimated coefficient (b1), the coefficient of determination, model validity and residuals plot). Does the result confirm your previous findings in question 3?

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EXCEL Instructions Activation of Data Analysis:

1. Click on File, then click Options.

2. Click Add-Ins, and then in the Manage box, select Excel Add-ins.

3. Click Go.

4. In the Add-Ins available box, select the Analysis ToolPak check box, and then click OK.

5. After you load the Analysis ToolPak, the Data Analysis command is available in the

Analysis group on the Data tab. Filter numbers:

Highlight the column of data/ Data tab/Sort/expand the selection / A/Z Graphs:

1. Highlight all data including labels

2. Insert Tab/ choose the chart. Summary statistics

From Menu, Data Tab, Data analysis, Descriptive statistics (highlight data for input range),

tick summary statistics and confidence interval, OK

Two sample hypothesis testing:

Excel/Data/Data Analysis/ t test, two sample assuming equal variances (or unequal)/ highlight

data for variable 1 and 2/ insert the value for Hypothesized difference equal zero and level of

significance 0.05.

*if you have highlighted the labels tick (the relevant box.

Anova:

From Menu, Data Tab, Data analysis, Anova single factor highlight data for input range),

insert the value for alpha, OK

Regression

From Menu, Data Tab, Data analysis, Regression, highlight data for Input Y range and Input

X range, tick Residuals Plots boxes, OK

 
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