I need a discussion question relating to a topic in chapters 4,5, or 6.

Because this is an online course, we will use discussion boards to encourage class interactions. You must post one original question about any of the content in the learning unit by the assigned due date. You must also reply to at least 2 other students posts by the due date. All questions should be related to the chapters 1, 2, or 3. A students original question should apply the content to an interesting experience/thought and should invite discussion (E.g. I heard on the radio that 1 in 4 people have $0 saved for retirement. Is this surprising to you, and if so, why? What do you think their sample was and how do you think the sample could change this statistic?). Student responses should address the questions asked by other students and should be substantive. Students should not just restate the original posters questions or simply state I agree or Thats interesting. Responses that are in agreement with previous posts must build on or extend the commentary (E.g. Provide an additional example of the concept). Lastly, be considerate, appropriate, and professional when replying to classmates.  Any inappropriate comments will be removed and will not receive credit.

Please title the your post as the topic of the question (e.g. Retirement savings)

Discussion Board Rubric:

Question (5 points): Due 2/23

4 – 5 points: Question applies the units content to a personal experience or utilizes real world examples, is thought provoking, and invites discussion or a question calls for clarification of a concept

1 3 points: Question is unrelated to the specific units content but the question is still related to the course.

0 points Student does not submit a question, the question is unrelated to the course, or the question is inappropriate, offensive, or unprofessional.

Chapter 4 Reading Guide

Probability

Impossible event

Certain event

A priori

Empirical probability

Subjective probability

Simple event

Joint event

Sample space

Venn diagram

Contingency tables

Decision trees

Simple probability

Joint probability

Mutually exclusive events

Collectively exhaustive events

General addition rule

Conditional probability

Independence

Marginal probabilities

Bayes theorem

Counting rules

Permutations

Combinations

Chapter 5 Reading Guide

Probability distribution

discrete

Expected value

Variance

Standard deviation

Binomial distribution

Binomial distribution properties

Poisson distribution

Poisson distribution properties

Mean

Variance

Chapter 6 Reading Guide

Continuous variable

Bell shaped

Symmetrical

Mean, median, mode

range

changes in and

standardized normal distribution

Z distribution

Mean, standard deviation of Z

Interpreting, calculating Z

Comparing X and Z

Probability under the curve

Standardized normal table

Finding probability

Empirical rule

Finding x from probability

Evaluating normality

Charts and graphs

Description measures

Distribution

Probability plot