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Essay / Research Paper Abstract
This 3 page paper uses data supplied by the student concerning job satisfaction olevels and performs a t-test, looks at what the t-test is used, considers why a sample and not the entire population is surveyed. The bibliography cites 4 sources.
Page Count:
3 pages (~225 words per page)
File: TS14_TEttest.rtf
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Unformatted sample text from the term paper:
can be used for form an hypothesis which can then be tested. The results look at overall satisfaction and different types of satisfaction. As many of the current models that
are accepted as able to increase motivation levels rely on intrinsic satisfaction (Huczyniski and Buchanan, 2003), this will be the focus. There also appear to be differences in the levels
of satisfaction that are seen in the different departments, in this part of the paper it is this we will investigate. 2. The Hypothesis The main hypotheses is that
H1 = The staff of the administration department gain a higher level of intrinsic satisfaction from work that employees in other departments at XXX company The
null hypothesis, which is the opposite of the hypostasis is that H0 = There is no difference in satisfaction levels between the administration department and the other departments of
XXX company. 3. Testing the Hypothesis To test the hypothesis we will use a t-test. With this we try and prove the null hypothesis, where this fails the hypothesis will
be accepted. A t test is used where there is the desire to compare two sets of data, for example, the same task undertaken by two different samples the same
sample undertaking the same test under different conditions, it may also be used to test paired samples (Curwin and Slater, 1996). This test is used where there is an interest
between the mean of the data groups. The t-test is a parametric test; for any parametric test the sample data has to meet several criteria, manly that the sample needs
to be taken from a population where there is a normal distribution. To determine if there is a difference and to determine which hypothesis should be accepted we have
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