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In a particular population, it was of interest whether male executives are, on average, taller or shorter than their female counterparts. A random sample of
- In a particular population, it was of interest whether male executives are, on average, taller or shorter than their female counterparts. A random sample of 15 firms was taken with the average executive heights given in the table below.
Firm No | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
Male Height | 2.07 | 1.81 | 1.81 | 1.78 | 1.89 | 1.62 | 1.82 | 1.67 | 2.07 | 1.82 | 1.84 | 1.75 | 1.79 | 2.06 | 2.04 |
Female Height | 1.81 | 1.75 | 1.58 | 1.70 | 1.94 | 1.75 | 1.53 | 1.76 | 1.92 | 1.60 | 1.77 | 1.72 | 1.84 | 1.68 | 1.83 |
REQUIRED:
- Use the above data to calculate the mean and standard deviation of the differences between the heights of the male executives and their female counterparts.
- Discuss whether there is evidence that the mean difference in heights between male and female is non-zero.
- Obtain a 95% confidence interval for the mean difference in heights of the male and their female colleagues.
- A news outlet says that the average height for a male executive is above 1.77m. From the data you have, discuss whether there is enough evidence to support this claim with a 99% confidence.
- Compare the uses of the independent samples and paired samples t tests. Explain clearly in which circumstances each method should be used in preference to the other, illustrating your answer with appropriate examples. State briefly the appropriate assumptions made in each case.
- Look at the following daily sales data:
Day No | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
Sales | 41 | 98 | 45 | 50 | 52 | 65 | 51 | 61 | 61 | 63 | 84 | 81 | 84 | 96 | 97 |
REQUIRED:
- Plot a scatter graph of the dat
- Explain whether the data appears to have any trend to it.
- Explain whether any of the days appear to hold outliers.
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