The dataset bus.xlsx contains data for an entire bus fleet. You can get information on the variables in this dataset by using the command describe. Then use Stata to answer the following:
(i) Present a statistical and graphical analysis of annual bus maintenance costs. In doing so, make sure to address the following: - Around what values do the data tend to cluster? Specifically, what was the mean maintenance cost last year? What is the median cost? Is one measure more representative of the typical cost than the others? What does the distribution look like? - What is the range of maintenance costs? What is the standard deviation? What is the coefficient of skewness? About 95% of the maintenance costs are between what two values?
(ii) Again referring to the maintenance cost variable, construct a box plot (either in Stata or by hand). What are the first and third quartile values? Calculate the inter-quartile range. Are there any outliers? Is the distribution heavily skewed? Relate your conclusion to part (i).
(iii) Using the median maintenance cost, develop a contingency table with bus manufacturer as one variable and whether the maintenance cost was above or below the median as the other variable. What are your conclusions?
(iv) What is the correlation between maintenance costs and age of the bus? Construct a scatter plot with a line of best fit for these two variables and comment on the relationship you observe.
The dataset bus.xlsx contains data for an entire bus fleet. You can get information on the variables in this dataset by using the command describe. Then use Stata to answer the following:
(i) Present a statistical and graphical analysis of annual bus maintenance costs. In doing so, make sure to address the following: - Around what values do the data tend to cluster? Specifically, what was the mean maintenance cost last year? What is the median cost? Is one measure more representative of the typical cost than the others? What does the distribution look like? - What is the range of maintenance costs? What is the standard deviation? What is the coefficient of skewness? About 95% of the maintenance costs are between what two values?
(ii) Again referring to the maintenance cost variable, construct a box plot (either in Stata or by hand). What are the first and third quartile values? Calculate the inter-quartile range. Are there any outliers? Is the distribution heavily skewed? Relate your conclusion to part (i).
(iii) Using the median maintenance cost, develop a contingency table with bus manufacturer as one variable and whether the maintenance cost was above or below the median as the other variable. What are your conclusions?
(iv) What is the correlation between maintenance costs and age of the bus? Construct a scatter plot with a line of best fit for these two variables and comment on the relationship you observe.
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