ECON940 – Statistics for Decision Making Report 代寫

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  • ECON940 – Statistics for Decision Making  Report 代寫

     
    ECON940 – Statistics for Decision Making
    Business Report
    General report on Australian fashion industry
    An Australian manufacturing company which is a market leader in the fashion sector in
    the Australasian market with operating headquarters in Sydney is keen to develop new
    product lines, so that the company can expand its market share in the Australian market.
    The Research and Development (R&D) department of the company has prepared a
    proposal to work on a new clothing line.
    Assume you work as an Analyst for this company and you have been asked to study the
    Australian fashion market. You have been requested to study the characteristics of
    currently available clothing products such that the company will be in a better position to
    price its proposed new line. You have collected data for 120 products on the market. The
    data is on an excel file named “FASHION”. In this case study, data is given for three
    competing popular clothing brands. The data collected are recorded in the file
    Fashion.xls as follows:
    Price  Unit price of the product
    Brand  1 for Calvin Klein, 2 for Zara, 3 Tommy Hilfiger and 4 for Ralph Lauren
    Style  1 for Business, 2 for Sport Clothes and 3 for Casual
    Gender  Target: 1 for woman; 2 for man
    Assignment Tasks:
    1. Visually present data for the unit price of the product from different brands.
    Calculate descriptive statistics for the prices of different brands. Comment on the
    location, shape and variability of those distributions.
    2. Visually present data for the unit price of the product for different styles. Calculate
    descriptive statistics for the unit prices of the three styles among the brands.
    Comment on the location, shape and variability of those distributions.
    3. Visually present data for the unit prices of Zara’s products for the three different
    styles. Calculate descriptive statistics for the unit prices of Zara’s products for the
    three different styles. Comments on the location, shape and variability of those
    distributions.
    4. A common belief is that there is a difference in product prices between women’s
    and men’s clothing lines. How do you test that there is a significant difference in
    ECON940 – Statistics for Decision Making  Report 代寫

     
    average prices across these two gender targets? Use appropriate inferential
    statistical techniques.
    5. Using the data collected, how do you test the claim that there is no significant
    difference in average product prices of the different brands? What do you find from
    your analysis? Use appropriate inferential statistical techniques.
    6. It is commonly believed that there is a difference in product prices between
    Business, Sport and Casual clothes, due to differences in fabrics, manufacturing
    techniques and targeted customers. How do you test that there is a significant
    difference in average prices across the three styles? Use appropriate inferential
    statistical techniques.
    7. Zara claims to keep similar prices for business, sport and casual clothes. How do
    you test whether there is significant difference between average prices of ZARA’s
    clothes for different styles? Use appropriate inferential statistical techniques.
    ECON940 – Statistics for Decision Making  Report 代寫

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