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Unformatted text preview: After computing the calculations it was found that our p-value was greater then .20 which is much higher then our alpha at .05. What this states is that neither drug showed a greater improvement over the other in giving a result for schizophrenia and we cant reject our null hypothesis. Having a p-value, also known as a probability value greater then .20 means that we will be wrong more then 20% of the time which isnt acceptable in medical practices. Making conclusions that are incorrect or not significant could cause serious problems for the future. Even though the test taken as of now stated that both drugs worked equally, its not to say that they are equal in effect. At this time though based on the data given conclusions cant be made. For future testing what needs to be done is the use of a greater sample size that could give a more definitive answer compared to only sampling 322 people....
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This note was uploaded on 10/01/2008 for the course STAT 250 taught by Professor Lewis during the Fall '07 term at SUNY Fredonia.
- Fall '07
- Chi-Square Test