(Solved): Welcome to our final two weeks of class. We've learned about various types of hypothesis test (i.e. ...

Welcome to our final two weeks of class. We've learned about various types of hypothesis test (i.e. Z-test, T-test, Analysis of Variance). However, what these hypothesis tests have in common is that they all assume normality or have passed the Central Limit Theorem as our sample ( N ) was greater than 30 . In this final week, you have read up on non-parametric testing which is basically a hypothesis test to use on skewed data that just doesn't cut the mustard in regards to assuming normality or passing the Central Limit Theorem. You also learned that when it comes to data that is not normal or skewed, that the mean isn't an accurate measure of center. For very skewed data, you would use the median as a measure of center instead. As for this week's discussion question, here is the data. Please answer questions a-d below. a.) So here, please rank the data above . b.) State our null and alternative hypothesis. (Hint: We are testing medians and not means due to the skewed nature of the data) c.) Now calculate the H -Statistic, and find the p -value from our Chi- Square table on pg. 656 in our online textbook. d.) Do we reject Ho for Ha ? Or do we fail to reject? Explain. If there are any questions and/or concerns, please give an email.