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
