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# Hypothesis and T-test Analysis Problem Set - Statistics Project Example

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The study “Hypothesis and T-test Analysis Problem Set” seeks to determine if a new teaching method, the Involvement Technique is effective in teaching algebra to first graders. Therefore, for the new methodology to be considered effective, then the students need to have more than two correct responses…

## Extract of sample "Hypothesis and T-test Analysis Problem Set"

Download file to see previous pages To compute the total scores for the algebra test from the item scores, we use the ‘compute function’ by going to the transform menu at the top of the data view screen then selecting ‘compute’. On the dialog box that pops up, we type total in the window labeled target variable and type sum(item1 to item 8) in the window labeled Numeric Expression. Clicking on the Ok button gives us the totals which are 8, 6, 5, 7, 4, and 6.  From the two tables;a) Mean algebra score is 6b) T-test Value is 6.928c) P-value is 0.001  for the 2-tailed test and 0.0005 in the case of a one tailed test4. Result Section based on the AnalysisA one sample T-test was conducted on the total scores for algebra from the item scores to establish whether the Involvement Technique is effective in teaching algebra by evaluating whether the means were significantly different from 2. Since the one-tailed probability is considerably less than 0.05, we fail to accept the null hypothesis and conclude that that the method is effective in teaching algebra to first graders. Provided below is the histogram with the normal curve for the distribution of the totals.  To compute scores to obtain a total index of Life Stress (ILS) at age 40 & 60), we use the ‘compute function’ by going to the transform menu at the top of the data view screen then selecting ‘compute’. On the dialog box that pops up, we type total in the window labeled target variable and type sum all the items in the window labeled Numeric Expression. ...Download file to see next pagesRead More
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