07 Jan How is the rejection region
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: REGRESSION
9797 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 ODDS
6262 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 VARIABLES
4545 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 DISTRIBUTIONS
3737 unread replies.130130 replies.
Assume that a population is normally distributed with a mean of 100 and a standard deviation of 15. Would it be unusual for the mean of a sample of 3 to be 115 or more? Why or why not?
WEEK 6: CONFIDENCE INTERVAL CONCEPTS
7474 unread replies.140140 replies.
Consider the formula used for any confidence interval and the elements included in that formula. What happens to the confidence interval if you
1. increase the confidence level,
2. increase the sample size, or
3. increase the margin of error? Only consider one of these changes at a time. Explain your answer with words and by referencing the formula.
WEEK 7: REJECTION REGION
116116 unread replies.137137 replies.
How is the rejection region defined, and how is that related to the p value? When do you reject or fail to reject the null hypothesis? Why do you think statisticians are asked to complete hypothesis testing? Can you think of examples in courts, in medicine, or in your area?
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