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Essay / Research Paper Abstract
This 9 page paper shows the student how to use statistical measures to examine the employees in a department. The data used is examined using averages and distribution by gender and presented with graphs and pie charts. The paper also shows how a Chi Squared test can be used to examine the data. The bibliography cites 3 sources.
Page Count:
9 pages (~225 words per page)
File: TS14_TEstathrm.rtf
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Unformatted sample text from the term paper:
looking at a department with 50 members of staff, 25 male and 25 female. There is the need to analysis the staff. This paper will present these findings to demonstrate
how statistics can be useful The population at first glance appears to be very similar, we have an even split between male and female with 50% of the workforce in
each group, there is also a similar average age in each group, with an average male age of 34.56 years, and for women of 34.4 years. This does, at first
indicate that there is a similar population but to understand this and show the use of statistics we need to look at the population more closely, and then we will
see there is not the same level of uniformity between the groups. The first measure we will use is the spread of the ages, looking at the workforce in
terms of gender and whether they are full time or part time. This indicates a higher level of female employees are part time compared to male employees.
If we want to put this into a clearer context we can look at each of these populations separately and use a pie chart to present these.
Using these we can see although the number look similar in the graph chart, but presenting them in a pie chart it is easier to present the differences and see
the percentage divergences. There is a much higher proportion of women that are part time employees compared to the males. Next we can look at the ages of the
two gender groups. We know there are similar averages, but this does not tell use the spread as a whole. Here we can seen there are different patterns
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