Quantitative Analysis Discussion Research Project

Quantitative Analysis Discussion Research Project

Instructions/Descriptions

Quantitative Analysis Discussion Research Project

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Select any one of the following starter bullet point sections. Review the important themes within the sub questions of each bullet point. The sub questions are designed to get you thinking about some of the important issues. Your response should provide  a succinct synthesis of the key themes in a way that articulates a  clear point, position, or conclusion supported by research.

You are a marketing manager for a company that makes ready-to-eat  breakfast cereals. Your company recently initiated a loyalty program for  consumers, which resulted in a large purchaser database. The brand  managers are eager to mine the available data, which they can use to  design more effective promotional programs.

The management of your  organization believes that to be effective, these programs have to take  into account significant cross-region (i.e., the East Coast, the West  Coast, the Midwest, and the South) purchase differences. Your task is to  test the hypothesis that there are significant cross-region differences  in purchasing patterns.

Management has suggested that you use six  different two-way comparisons (directly comparing each region with every  other region), with each two-way comparison being suggested at the 5%  level.

Assess how appropriate management’s proposed use of hypothesis  testing would be to validate management’s belief in cross-region  purchase differences.

Explain the goal of this hypothesis testing experiment.

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Describe the mechanics of this hypothesis testing process.

Explain why the organization would go through the trouble of  hypothesis testing in this situation. Support your discussion with  relevant examples, research, and rationale.

You are a manager working for an insurance company. Your job entails  processing individual claims filed by policyholders. In general, most  claims are relatively minor, costwise, but a few are quite expensive.

Each quarter, you compile a report summarizing key claims statistics  that includes the number of claims submitted, the mean cost per claim,  the median cost per claim, the proportion of claims being litigated, the  number of emergency procedures, the proportion of men versus women, and  the average age of claimants.

Your measures are computed separately for  the southern and northern regions, and you are interested in  determining whether or not there are statistically significant  differences between the two regions on each of the aforementioned  measures.

Evaluate which comparisons would require the use of the t-test and which would use the chi-squared test.

Explain your answers. Support your discussion with relevant examples, research, and rationale.

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In the past several weeks, you have been introduced to a range of  statistical data analysis tools. Consider what you have learned in the  context of progression of data, information, and knowledge. What are the  specific techniques you would consider most helpful in transforming  information into knowledge (as opposed to just translating data into  information)? Support your discussion with relevant examples, research,  and rationale.

The final paragraph (three or four sentences) of your initial  post should summarize the one or two key points that you are making in  your initial response.

Submission Details:

Your posting should be the equivalent of 1 to 2 single-spaced pages (500–1000 words) in length.100% original no plagiarism

Quantitative Analysis Discussion Research Project

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