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Essay / Research Paper Abstract
This 8 page paper answers a set of questions set by the student regarding statistics. The questions include the purpose of a hypothesis, the definition and relevance of significance levels, the stages required for a hypothesis test, the types of test which can be undertaken, the difference between a z-distribution and a t-distribution and an example of a statistical hypothesis test. The bibliography cites 5 sources.
Page Count:
8 pages (~225 words per page)
File: TS14_TEstat101.doc
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Unformatted sample text from the term paper:
make a decision that is likely to be statically significant; meaning that the result is one that is not likely to have occurred as a result of chance only. The
usual approach it so adopt an approach where there is an attempt to disprove an hypothesis, it is only when the null hypothesis cannot be rejected that the hypothesis can
be accepted. Question 2 When choosing a significance level the researcher is effectively choosing the potential margin of error that will be acceptable. With any test there is
unlikely to get a test result that is 100% certain, when assessing the result to determine whether or not the result may be a result of chance the significance level
reflects level of that certainty. For example, a common level of significant is 0.05 (5%), this means that there is only a 5% chance that an erroneous result is accepted.
The significant level is denoted as a. The lower this figures the stronger the evidence that is required to undertake the test and reject the null hypothesis. Where the
result do the test of significance results in a p value, that is the probability level, that is lower than the a level the null hypothesis is rejected, so the
hypothesis can be said as proven that they level of significance. There are a number of influences on the way a researcher will choose a level of significance, the
type of research and the way that the results are being used will have an impact. For example, if the research is undertaking social research to assess why people behave
in a certain way, a 95% level of certainty (5% level of significance) may be acceptable, however, if the research is in the pharmaceutical field, where the results will determine
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