...Question: Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below: Shoe Size| Height| Gender| 5.00| 63.00| Female| 7.50| 70.00| Female| 9.00| 70.00| Female| 7.00| 64.00| Male| 11.00| 72.00| Male| 12.00| 72.00| Male| 14.00| 76.00| Male| 7.00| 66.00| Female| 7.50| 71.00| Female| 8.00| 68.00| Female| 10.50| 71.00| Male| 11.00| 71.00| Male| 6.50| 65.00| Female| 7.00| 67.00| Female| 7.50| 70.00| Female| 10.00| 69.00| Male| 12.00| 69.00| Male| 6.50| 65.00| Female| 10.50| 72.00| Male| 12.00| 73.00| Male| 6.00| 60.00| Female| 6.50| 64.00| Female| 10.00| 72.00| Female| 9.50| 69.00| Male| 11.50| 70.00| Male| 14.00| 75.00| Male| 6.50| 63.00| Female| 13.50| 77.00| Male| 7.00| 68.00| Female| 9.50| 68.00| Male| 13.00| 72.00| Male| 11.00| 73.00| Male| 6.00| 62.00| Female| 7.00| 66.00| Female| 7.50| 70.00| Female| To start out, let’s examine if there is a correlation between the shoe size and the height. Using Excel, we obtain the following table (see sheet CORRELATION) | Shoe size| Height| Shoe size| 1| | Height|...
Words: 598 - Pages: 3
...Thesis People are the same. We all have similar body characteristics. We all generally have two eyes, two hands and two feet. Most of us also wear shoes. But producing shoes of varying sizes is expensive and time consuming. Nyke is proposing a plan to cut the cost of their production of shoes by only making one universal size shoe for their customer base. We will look at a sample of data obtained by this company and determine if this is statistically the best plan moving forward for this company. Data Observations A statistical study is only as good as its raw data. Nyke has provided a sample of thirty five of their customer base shoe sizes, heights and genders. This is a really small random sample based on the gross production of shoes already being produced by Nyke, however, we can make some recommendations based on these numbers. We will assume these numbers are correct, and the process of picking these data points were random. Statistical Testing There are many tests we can run on this sample of data to determine if it is viable. First we need to turn this data into numbers that we can use in our equations to calculate our values. So we need to convert the numbers into the mean, median, mode, range of values, x, x2 and the standard deviation of the data. Second, we will use the data to construct several graphs, such as a boxplot, histogram, stem and leaf plot and a scatter plot to determine if or how the data is skewed and if there are any outliers. If we identify...
Words: 337 - Pages: 2
...Nyke- The Final Project Yvonne Pearce Thomas Edison State College Principles of Statistics (2014Feb STA-201) April 20, 2014 Thesis People are the same. We all have similar body characteristics. We all generally have two eyes, two hands and two feet. Most of us also wear shoes. But producing shoes of varying sizes is expensive and time consuming. Nyke is proposing a plan to cut the cost of their production of shoes by only making one universal size shoe for their customer base. We will look at a sample of data obtained by this company and determine if this is statistically the best plan moving forward for this company. Data Observations A statistical study is only as good as its raw data. Nyke has provided a sample of thirty five of their customer base shoe sizes, heights and genders. This is a really small random sample based on the gross production of shoes already being produced by Nyke, however, we can make some recommendations based on these numbers. We will assume these numbers are correct, and the process of picking these data points were random. Statistical Testing There are many tests we can run on this sample of data to determine if it is viable. First we need to turn this data into numbers that we can use in our equations to calculate our values. So we need to convert the numbers into the mean, median, mode, range of values, x, x2 and the standard deviation of the data. Second, we will use the data to construct several graphs, such as a boxplot, histogram...
Words: 1067 - Pages: 5
