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Essay / Research Paper Abstract
This 4 page paper helps the student design research to test an hypothesis. The framework shown is the framing of the null hypothesis (H0) and the alternative hypothesis (H1), the decision on what level of confidence to choose, looking at which statistics to test and deciding on which tests are most suitable. The example used is testing to see if genetically modified food and non modified food are the same. The bibliography cites 4 sources.
Page Count:
4 pages (~225 words per page)
File: TS14_TEstatest.rtf
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Unformatted sample text from the term paper:
is whether or not the genetically modified are a risk to the general environment. The first stage of designing a test (but not carrying it out) is to define the
hypotheses. The need is to test if there is any difference in terms of the genetically modified food and the food that has not been modified. When defining any
hypothesis this needs to be very exact and clear, with defined boundaries and a description of what is being studied. For example, if we assume the test being designed is
one of the impact of eating genetically modified food on mice, then we may have the following. The hypothesis is that when eating genetically modified food mice will show
an increased occurrence of health problems due to the ingestion of genetically modified corn. As this is the hypothesis that is going to be the most difficult to prove this
should be the H1 and as such it is the alternate hypothesis. The H0 is the most straightforward and the direct opposite of the H1 (Curwin and Slater, 2001). Here
the H0 will state that there are no health differences between mice eating genetically modified corn compared with those eating non-modified corn. The student may like to expand this to
include a time scale or further limitations. With the test and the hypothesis considered the next stage is to what level of significance we need to test the hypothesis,
remembering we will be testing the null hypothesis (H0) and the H1 will only be accepted if the null hypothesis is rejected. In any test there is always the potential
for mistakes and a mistake will lead to the wrong results. There are two main types of error, type I and type 2. A type 1 error is where the
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