MATH221 Statistics for Decision-Making all weeks discussion
Question
Devry MATH221N Week 1 Discussion
|
Descriptive
Statistics (graded)
|
If you were given a
large data set, such as the 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 MATH221N Week 2 Discussion
|
Regression (graded)
|
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 MATH221N Week 3 Discussion
|
Probability and Odds
(graded)
|
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 in
order to increase the probability of winning. (Note: see page 145 in the text
for a discussion on odds.)
Devry MATH221N Week 4 Discussion
|
Discrete Probability
Variables (graded)
|
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 MATH221N Week 5 Discussion
|
Interpreting Normal
Distributions (graded)
|
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 MATH221N Week 6 Discussion
|
Confidence Interval
Concepts (graded)
|
Consider the formula
used for any confidence interval and the elements included in that formula.
What happens to the confidence interval if you (a) increase the confidence
level, (b) increase the sample size, or (c) 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 MATH221N Week 7 Discussion
|
Rejection Region
(graded)
|
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?
No comments:
Post a Comment