DISCUSSIONS WEEK 1: DESCRIPTIVE STATISTICS 3030 UNREAD REPLIES.Discussions Week 1: DESCRIPTIVE STATISTICS 3030 unread replies.126126 replies.If you were given a large data set

DISCUSSIONS WEEK 1: DESCRIPTIVE STATISTICS 3030 UNREAD REPLIES.Discussions Week 1: DESCRIPTIVE STATISTICS 3030 unread replies.126126 replies.If you were given a large data set
Discussions Week 1: DESCRIPTIVE STATISTICS 3030 unread replies.126126 replies.If you were given a large data set (i.e., sales over the last year of our top 100 customers), what might you be able to do with these data? What might be the benefits of describing the data?WEEK 2: REGRESSION9797 unread replies.138138 replies.Suppose you are given data from a survey showing the IQ of each person interviewed and the IQ of his or her mother. That is all the information that you have. Your boss has asked you to put together a report showing the relationship between these two variables. What could you present and why?WEEK 3: PROBABILITY AND ODDS6262 unread replies.139139 replies.The odds of winning a game are given as 1:25. What is the probability that you will win this game? What is the probability that you will lose this game? In your follow-up replies, consider which number in the odds ratio needs to change and how it needs to change in order to increase the probability of winning. (Note: See page 145 in the text for a discussion on odds.)WEEK 4: DISCRETE PROBABILITY VARIABLES4545 unread replies.126126 replies.Provide an example that follows either the binomial or Poisson distribution, and explain why that example follows that particular distribution. In your responses to other students, make up numbers for the example provided by that other student, and ask a related probability question. Then, show the work (or describe the technology steps), and solve that probability example.WEEK 5: INTERPRETING NORMAL DISTRIBUTIONS3737 unread replies.130130 replies.Assume that a population is normally distributed with a mean of 100 and a standard deviation of 15.

 
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