1. For hypothesis tests for independence and homogeneity, we always perform righ
ID: 3154138 • Letter: 1
Question
1. For hypothesis tests for independence and homogeneity, we always perform right-tailed tests. In other words, the critical region is always in the right-most portion of the distribution. Why are they always right-tailed? In other words, why do we reject the null hypothesis when the test statistic is in the rightmost portion of the distribution?
2. In conducting a test for goodness-of-fit, does an outlier have much of an effect on the value of the 2 statistic? If you need a hint, try to replace a value in one of the Problem Set problems with a much larger value, and see what happens. Describe the general effect of an outlier.
Explanation / Answer
1. This is because if the null hypothesis is not true, then there will be large discrepancies between the expected and observed values. Thus, that would yield large chi^2 values.
Therefore, if Ho is true, then the unusual values of the observations lie on the "large values" of chi^2, the ones to the right of the distirbution. [ANSWER]
*******************************************
Hi! Please submit the next part as a separate question. That way we can continue helping you! Please indicate which parts are not yet solved when you submit. Thanks!
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.