DeVry MATH399 Week 1
Discussion Latest 2017 November
WEEK 1: DESCRIPTIVE
STATISTICS
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replies.113113 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?
DeVry MATH399 Week 2
Discussion Latest 2017 November
WEEK 2: REGRESSION
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replies.115115 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?
DeVry MATH399 Week 3
Discussion Latest 2017 November
WEEK 3: PROBABILITY AND ODDS
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replies.123123 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.)
DeVry MATH399 Week 4
Discussion Latest 2017 November
WEEK 4: DISCRETE PROBABILITY
VARIABLES
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replies.124124 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.
DeVry MATH399 Week 5
Discussion Latest 2017 November
WEEK 5: INTERPRETING NORMAL
DISTRIBUTIONS
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replies.107107 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?
DeVry MATH399 Week 6
Discussion Latest 2017 November
WEEK 6: CONFIDENCE INTERVAL
CONCEPTS
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replies.113113 replies.
Consider the formula used for any confidence interval and the
elements included in that formula. What happens to the confidence interval if
you
- increase
the confidence level, - increase
the sample size, or - increase
the margin of error? Only consider one of these changes at a time. Explain
your answer with words and by referencing the formula.
DeVry MATH399 Week 7
Discussion Latest 2017 November
WEEK 7:
REJECTION REGION
4242 unread replies.114114 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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