TSTA 101– Quantitative Methods for Accounting & Finance - Statistics Assignment Help

Assignment Task:

Task:

ANALYSIS
An Australian manufacturing company is keen to develop new products and develop new product line of jackets 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 “JACKETS”. The file includes:
PRICE: Price of the jackets in dollars.
GENDER: 1 for Female product and 2 for Male product.
COUNTRY: the country in which the jackets is produced: 1 made in China, 2 made in Singapore and 3 made in Thailand.
COST: Production cost of the jackets in dollars.
QUESTIONS
Part 1:

1. Construct a pie chart for men and women jackets. Construct a pie chart for the three countries- Thailand, Singapore and China. Present your findings.

2. Construct a cross-classification table of frequencies between gender and country. Plot a vertical bar chart of frequency (Y variable) and gender (X variable), then group the bar charts of genders for three countries and comment on the relationship between gender and country

Part 2:
1. Calculate the Mean, Median, Mode, Standard Deviation and Coefficient of Variation, for prices for men and women jackets, separately. Compare the figures and explain that what conclusions you can draw from these analyses? Draw a box and Whisker plot for men and female jackets 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 3:
Answer the following hypothesis questions:
3. Determine if average prices for female jackets is less than average prices for male jackets.
Compare the result with part 1 question 1. Does the result confirm your previous findings? (Follow the hypothesis testing steps, 0.10 level of significance, assuming “equal variances” of populations).
4. Using a scatter graph of price (Y variable on vertical axis) and production cost (X variable, horizontal axis), comment on the relationship between price and cost.

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