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BTM-8107 Statistics For Parametric And Non-Parametric Test

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  • Course Code: BTM-8107
  • University: Northcentral University
  • Country: United States


We have used the same data set for analysing both a between and within subject’s design. The both t-tests that are two sample paired t-test and two samples paired t-test refer the same conclusion. In this analysis, both types of tests, it was recorded that the averages of pre-test and post-test are equal.
When identification number mismatches pre-test and post-test scores, then we applied independent samples t-test with the help of 40 pre-test scores and 40 post-test scores. For comparing pre-test and post-test scores, we applied between subject’s design rather than within subject’s design. Both the samples are imputed vertically and incorporated independent sample t-test. The between–subjects rather than within-subjects design is useful to take total 80 samples at a time. The within subject design is helpful for commonly in repeated measure analysis. The within subject design helps to measure how much an individual in the sample tends to vary in different observation. In other words, it is the mean of variation for the average individual case in the specified sample
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