- Description
QNT/275T
STATISTICS FOR DECISION MAKING
The Latest Version A+ Study Guide
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QNT 275T All Discussions Link
https://hwsell.com/category/qnt-275/
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QNT 275T Wk 1 Discussion – Statistics Tools
Discussion Topic
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students.
Due Thursday
Respond to the following in a minimum of 175 words:
Review the Discussion FAQs Module. Choose one statistical tool that you read about this week. Consider a decision you need to make at work or at home. Explain how this tool will help you make that decision. Note: This must be original; do not use examples from the internet.
Due Monday
Reply to at least two of your classmates. Be constructive and professional in your responses.
QNT 275T Wk 2 Discussion – Charts
Discussion Topic
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students.
Due Thursday
Respond to the following in a minimum of 175 words:
Review the Discussion FAQs Module. Research the internet for an example of a pie chart or bar chart. Post a copy along with its source. Include a question regarding the chart for your classmates to respond to. Respond to a classmate’s question.
Due Monday
Reply to at least two of your classmates. Be constructive and professional in your responses.
QNT 275T Wk 3 Discussion – Sales Training
Discussion Topic
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students.
Due Thursday
Respond to the following in a minimum of 175 words:
A company employs 400 salespeople. Of these, 83 received a bonus last year, 100 attended a special sales training program at the beginning of last year, and 42 both attended the special sales training program and received a bonus. (Note: the bonus was based totally on sales performance.)
- a) What proportion of the 400 salespeople received a bonus last year?
- b) What proportion of the 400 salespeople attended the special sales training program at the beginning of last year?
- c) What proportion of the 400 salespeople both attended the special sales training program and received a bonus?
- d) What proportion of the salespeople who attended the special sales training program received a bonus?
- e) Based on your answers to parts a and d, does the special sales training program seem to have been effective? Explain your answer.
Due Monday
Reply to at least two of your classmates. Be constructive and professional in your responses.
QNT 275T Wk 4 Discussion – Income and Insurance
Discussion Topic
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students.
Due Thursday
Respond to the following in a minimum of 175 words:
Suppose that we wish to assess whether more than 60 percent of all U.S. households in a particular income class bought life insurance last year. That is, we wish to assess whether p, the proportion of all U.S. households in the income class that bought life insurance last year, exceeds .60. Assume that an insurance survey is based on 1,000 randomly selected U.S. households in the income class and that 640 of these households bought life insurance last year.
- a) Assuming that p equals .60 and the sample size is 1,000, what is the probability of observing a sample proportion that is at least .64?
- b) Based on your answer in part a, do you think more than 60 percent of all U.S. households in the income class bought life insurance last year? Explain.
Due Monday
Reply to at least two of your classmates. Be constructive and professional in your responses.
QNT 275T Wk 5 Discussion – The Tasty Sub Shop Case and The QHIC Case
Discussion Topic
Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to other students.
Due Thursday
Respond to the following in a minimum of 175 words:
The Tasty Sub Shop Case:
A business entrepreneur uses simple linear regression analysis to predict the yearly revenue for a potential restaurant site on the basis of the number of residents living near the site. The entrepreneur then uses the prediction to assess the profitability of the potential restaurant site.
And
The QHIC Case:
The marketing department at Quality Home Improvement Center (QHIC) uses simple linear regression analysis to predict home upkeep expenditure on the basis of home value. Predictions of home upkeep expenditures are used to help determine which homes should be sent advertising brochures promoting QHIC’s products and services.
Discuss the difference in the type of prediction in both cases and provide rational of the reasons that these predictions were used.
Due Monday
Reply to at least two of your classmates. Be constructive and professional in your responses.