Manutan International S.A. is a specialist mail-order business providing industrial and office equipment and supplies to...

 

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Manutan International S.A. is a specialist mail-order business providing industrial and office equipment and supplies to the business-to-business, collective, and public sectors. Based in France, Manutan has built up a pan-European network of 24 subsidiaries in 20 countries, from Portugal to Russia and from Sweden to Italy. Manutan also has a strong online presence with 18 e-commerce websites and a workforce of around DISCUSSION 1. Manutan's list of several hundred thousand busi- ness-to-business customers continues to grow. Managers would like to know whether the euro amount of sales average transaction per customer has changed from last year to this year. Suppose company accountants sampled 20 customers randomly from last year's records and determined that the mean sales per customer was €2,300, with a standard deviation of €500. They sampled 25 customers randomly from this year's files and determined that the mean sales per customer for this sample was €2,450, with a standard deviation of €540. Analyse these data and summarize your findings for managers. Explain how this informa- tion can be used by decision makers. Assume that sales per customer are normally distributed. 2. One common approach to measuring the quality of a company's services is through the use of cus- tomer satisfaction surveys. Suppose in a random sample, Manutan's customers are asked whether the last office equipment transition with Manutan was outstanding (Yes or No). Assume Manutan supplies these equipments from two different locations and that the office equipment customers can be divided according to where their equipment was supplied from. Suppose a random sample of 45 custom- ers who bought office equipment from warehouse 1 results in 18 saying the service was of excellent quality and a random sample of 51 customers who bought office equipment that came from warehouse 2 results in 12 saying the service was of excellent quality. Use a confidence interval to express the estimated difference in population proportions of excellent ratings between the two groups of custom- ers. Does it seem to matter which warehouse the per 1,500 staff. Manutan's more than 200 catalogues fea- ture over 200,000 items and serve more than 600,000 customers throughout Europe. While mail-order houses had been in operation in France for many years, they have tended to focus primarily on the consumer market. In 1966, however, André Guichard, joined by son Jean-Pierre, set up a company dedicated to providing mail-order services to the business sector. The company's major innovation was in its choice of goods, that of industrial equipment, especially materials handling equipment. Manutan quickly recognized the potential of entering other European markets. The company's first choice was the United Kingdom, where, as in France in the 1960s, the market for mail-order materials handling, lifting, and storage equipment was more or less non-existent. Manutan's success in the United Kingdom led it to quickly move into a large number of new foreign markets after 1974. Manutan focused on its mail-order operations until the early 2000s. In 2001, however, the company expanded and established a presence on the Internet, launching its first e-commerce-enabled website. That site later provided the platform for the rollout of 18 websites targeting each of the company's markets. By 2005, the company had posted more than €1 million in sales through its e-commerce sites. During the recent global financial crisis, Manutan made a strategic decision not to cut its market- ing and commercial investments. On the contrary, Manutan maintained its promotional expenditure, and refocused part of its staff on direct selling, thereby increasing the multi-channel contact with their customers. This strategic insight seems to have paid off: the company recorded revenues of €563 million during the 2010 financial year, an increase of 15.2% over the previous year. office equipment comes from in terms of the quality rating received from customers? What would you report from these data? Sure, you can construct a hypothesis test instead of confidence interval for the estimated difference. That's your choice :) 3. Suppose the customer satisfaction survey included a question on the overall quality of Manutan meas- ured on a scale from 0 to 10 where higher numbers indicate greater quality. Company managers moni- tor the figures from year to year to help determine whether Manutan is improving customers' percep- tions of its quality. Suppose random samples of the responses from 2011 customers and 2012 custom- ers are taken and analysed on this question, and the following Minitab analysis of the data results. Help managers interpret this analysis so that compari- sons can be made between 2011 and 2012. Discuss the samples, the statistics, and the conclusions. 4. Suppose Manutan supplies pulleys that are speci- fied to be 50 millimetres in diameter. A large batch of pulleys is sold in week 1 and another is sold in week 5. Quality control people want to determine whether there is a difference in the variance of the diameters of the two batches. Assume that a sample of six pulleys from the week 1 batch results in the following diameter measurements (in mm): 51, 50, 48, 50, 49, 51. Assume that a sample of seven pul- leys from the week 5 batch results in the following diameter measurements (in mm): 50, 48, 48, 51, 52, 50, 52. Conduct a test to determine whether the variance in diameters differs between these two populations. Why would the quality control peo- ple be interested in such a test? What results from Two-Sample T-Test and CI: 2011, 2012 Two-sample T for 2011 vs 2012 this test would you report to them? What about the means of these two batches? Analyse these data in terms of the means and report on the results. Assume that pulley diameters are normally distrib- uted in the population. N Mean StDev SE Mean 2011 75 6.466 0.352 0.041 2012 93 6.604 0.398 0.041 Difference = mu (2011) -mu (2012) Estimate for difference: -0.1376 Source: Cortinhas (2012). Adapted from The Manutan Group website at www.manu-taninternational.com/main/core.php? pag id=161; and 'Manutan International SA', available at www.fundinguniverse.com/company-histories/Manutan- International-SA-Company-History.html. 958 CI for difference: (-0.2535, -0.0217) T-Test of difference=0 (vs not ): P-Value = 0.020 Both use Pooled StDev = 0.3782 T-Value= -2.34 DF =166 Manutan International S.A. is a specialist mail-order business providing industrial and office equipment and supplies to the business-to-business, collective, and public sectors. Based in France, Manutan has built up a pan-European network of 24 subsidiaries in 20 countries, from Portugal to Russia and from Sweden to Italy. Manutan also has a strong online presence with 18 e-commerce websites and a workforce of around DISCUSSION 1. Manutan's list of several hundred thousand busi- ness-to-business customers continues to grow. Managers would like to know whether the euro amount of sales average transaction per customer has changed from last year to this year. Suppose company accountants sampled 20 customers randomly from last year's records and determined that the mean sales per customer was €2,300, with a standard deviation of €500. They sampled 25 customers randomly from this year's files and determined that the mean sales per customer for this sample was €2,450, with a standard deviation of €540. Analyse these data and summarize your findings for managers. Explain how this informa- tion can be used by decision makers. Assume that sales per customer are normally distributed. 2. One common approach to measuring the quality of a company's services is through the use of cus- tomer satisfaction surveys. Suppose in a random sample, Manutan's customers are asked whether the last office equipment transition with Manutan was outstanding (Yes or No). Assume Manutan supplies these equipments from two different locations and that the office equipment customers can be divided according to where their equipment was supplied from. Suppose a random sample of 45 custom- ers who bought office equipment from warehouse 1 results in 18 saying the service was of excellent quality and a random sample of 51 customers who bought office equipment that came from warehouse 2 results in 12 saying the service was of excellent quality. Use a confidence interval to express the estimated difference in population proportions of excellent ratings between the two groups of custom- ers. Does it seem to matter which warehouse the per 1,500 staff. Manutan's more than 200 catalogues fea- ture over 200,000 items and serve more than 600,000 customers throughout Europe. While mail-order houses had been in operation in France for many years, they have tended to focus primarily on the consumer market. In 1966, however, André Guichard, joined by son Jean-Pierre, set up a company dedicated to providing mail-order services to the business sector. The company's major innovation was in its choice of goods, that of industrial equipment, especially materials handling equipment. Manutan quickly recognized the potential of entering other European markets. The company's first choice was the United Kingdom, where, as in France in the 1960s, the market for mail-order materials handling, lifting, and storage equipment was more or less non-existent. Manutan's success in the United Kingdom led it to quickly move into a large number of new foreign markets after 1974. Manutan focused on its mail-order operations until the early 2000s. In 2001, however, the company expanded and established a presence on the Internet, launching its first e-commerce-enabled website. That site later provided the platform for the rollout of 18 websites targeting each of the company's markets. By 2005, the company had posted more than €1 million in sales through its e-commerce sites. During the recent global financial crisis, Manutan made a strategic decision not to cut its market- ing and commercial investments. On the contrary, Manutan maintained its promotional expenditure, and refocused part of its staff on direct selling, thereby increasing the multi-channel contact with their customers. This strategic insight seems to have paid off: the company recorded revenues of €563 million during the 2010 financial year, an increase of 15.2% over the previous year. office equipment comes from in terms of the quality rating received from customers? What would you report from these data? Sure, you can construct a hypothesis test instead of confidence interval for the estimated difference. That's your choice :) 3. Suppose the customer satisfaction survey included a question on the overall quality of Manutan meas- ured on a scale from 0 to 10 where higher numbers indicate greater quality. Company managers moni- tor the figures from year to year to help determine whether Manutan is improving customers' percep- tions of its quality. Suppose random samples of the responses from 2011 customers and 2012 custom- ers are taken and analysed on this question, and the following Minitab analysis of the data results. Help managers interpret this analysis so that compari- sons can be made between 2011 and 2012. Discuss the samples, the statistics, and the conclusions. 4. Suppose Manutan supplies pulleys that are speci- fied to be 50 millimetres in diameter. A large batch of pulleys is sold in week 1 and another is sold in week 5. Quality control people want to determine whether there is a difference in the variance of the diameters of the two batches. Assume that a sample of six pulleys from the week 1 batch results in the following diameter measurements (in mm): 51, 50, 48, 50, 49, 51. Assume that a sample of seven pul- leys from the week 5 batch results in the following diameter measurements (in mm): 50, 48, 48, 51, 52, 50, 52. Conduct a test to determine whether the variance in diameters differs between these two populations. Why would the quality control peo- ple be interested in such a test? What results from Two-Sample T-Test and CI: 2011, 2012 Two-sample T for 2011 vs 2012 this test would you report to them? What about the means of these two batches? Analyse these data in terms of the means and report on the results. Assume that pulley diameters are normally distrib- uted in the population. N Mean StDev SE Mean 2011 75 6.466 0.352 0.041 2012 93 6.604 0.398 0.041 Difference = mu (2011) -mu (2012) Estimate for difference: -0.1376 Source: Cortinhas (2012). Adapted from The Manutan Group website at www.manu-taninternational.com/main/core.php? pag id=161; and 'Manutan International SA', available at www.fundinguniverse.com/company-histories/Manutan- International-SA-Company-History.html. 958 CI for difference: (-0.2535, -0.0217) T-Test of difference=0 (vs not ): P-Value = 0.020 Both use Pooled StDev = 0.3782 T-Value= -2.34 DF =166

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The given data A B C D E F G 1 Twosample T for 2011 vs 2012 2 N MEAN ... View the full answer