Once again, reading about t-test statistics and descriptive statistics is one thing. Actually using software to compute them requires different skill sets. This assignment is designed to give you the opportunity to practice using Microsoft Excel to compute a t-test and to reinforce your learning of computing descriptive statistics from a previous module. A data set has been presented below for you to use to conduct your analyses. The data set represents the scores from five students who were tested on the same material using three different forms of the test. Name Test 1 Test 2 Test 3 Lyle 88 92 89 Jorge 78 82 78 Kim 34 87 62 Frances 76 82 32 Tomeca 66 88 64 · � Enter the above data into Microsoft Excel. · � Using Microsoft Excel, compute the mean for each test, each student, and the sample overall. · � Using Microsoft Excel, compute the standard deviation for each test, each student, and the sample overall. · � Using Microsoft Excel, create a correlation table for Test 1, Test 2, and Test 3. Interpret the results. · � Conduct a t-test to see if there is a significant difference in scores between Test 1 and Test 2. Interpret the results. · � Include a printout of your Microsoft Excel computations with your paper submission. · � Explain the concepts of central tendency, variance, standard deviation, correlation, and the difference between the means of two groups. · � Include a description of the computations you conducted on the data provided for this assignment and your interpretation of the results of your computations. What do you know about this data set? What is something that you do not yet know about this data?
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