The Central Limit Theorem (CLT) that you read about is key to many of the remaining module and inferential statistics. To ensure you understand it, think about the following scenarios. SCENARIO 1 A survey was taken of SAC students on how much weight they gain or lose during nals week and their answers consisted of one of the following responses. 0 Gain too much weight 0 Lost weight 0 This question is depressing Lets say 76 out of 100 students answered this question is depressing. Describe the statistics of the problem and what does the central limit theorem say about the parameters of the problem and the spread of both the sampling distribution and the population distribution. SCENARIO 2 A survey was taken of SAC students on how much weight they gain or lose during nals week in pounds. 100 students were surveyed and the mean response was a gain of 3le. Describe the statistics of the problem and what does the central limit theorem say about the parameters of the problem and the spread of both the sampling distribution and the population distribution