Question: Quantitative Methods for Accounting & Finance Case Study. Structure of the assignment: Your report must include the following sections, respectively: 1) Executive Summary . This

Quantitative Methods for Accounting & Finance Case Study.

Structure of the assignment:

Your report must include the following sections, respectively:

1) Executive Summary . This section include:

  • the primary purpose of the study
  • the general methodology used
  • the significant findings of each section and general conclusions recommendations.

2) (not necessary)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 in your analysis.

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

6) (not necessary)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 combine 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.

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. Construct a pie chart for numbers of men and women shoes. Construct a pie chart for numbers 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 shoes, 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 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 3:

Answer the following hypothesis questions:

3. Determine if average prices for female shoes is less than average prices for male shoes. Compare the result with part 2 question 1. Does the result confirm your previous findings? (Follow the hypothesis testing steps, 0.05 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.

The data of 'Shoes' from Excel are below.

COST GENDER COUNTRY PRICE

177 1 1 395

143 1 1 400

163 1 1 304

186 1 1 274

124 1 1 371

43 1 1 355

112 1 1 154

186 1 1 261

124 1 1 258

43 1 1 280

112 1 1 240

186 1 1 314

124 1 1 273

112 1 1 366

265 1 1 372

185 1 1 353

223 2 1 314

213 2 1 294

183 1 1 222

173 1 2 182

143 1 2 161

143 1 2 193

163 1 2 260

133 1 2 198

207 1 2 215

265 1 1 353

133 2 1 386

123 2 1 303

29 2 1 225

29 2 1 171

193 2 1 291

183 2 1 350

139 2 1 315

133 1 2 308

73 1 2 156

83 1 2 313

159 1 2 364

188 1 2 192

139 1 2 151

89 1 2 390

75 1 2 211

69 1 2 306

75 1 2 210

69 1 2 334

55 1 2 247

55 1 3 341

55 1 3 238

41 1 3 299

49 1 3 183

51 1 2 200

45 1 2 271

65 1 2 350

65 1 2 361

43 1 2 250

43 2 2 244

185 2 2 274

185 2 2 388

183 2 2 348

117 2 2 163

111 1 2 172

177 1 2 399

97 2 2 360

69 2 2 244

57 2 2 233

65 2 2 319

36 2 2 337

38 1 3 259

34 1 3 361

36 1 3 381

183 2 3 323

38 2 3 231

138 2 3 205

199 2 1 289

243 2 1 297

163 2 1 356

252 2 1 345

223 2 1 298

213 2 1 285

153 2 1 311

159 2 1 269

188 2 1 340

36 2 3 276

46 2 3 373

126 2 3 287

66 2 3 367

48 2 3 157

116 1 3 155

193 1 3 335

183 1 3 367

139 1 3 345

117 2 3 153

111 2 3 396

69 2 3 277

66 2 3 246

175 2 3 352

155 2 3 380

74 2 3 278

66 2 3 153

175 2 3 209

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