Business Analytics

Reviewin” rel=”nofollow”>ing your previous reports, several questions came to Elizabeth Burke’s min” rel=”nofollow”>ind. Use poin” rel=”nofollow”>int and in” rel=”nofollow”>interval estimates to answer these questions.1. What portion of customers rate the company with “top box” Survey responses (which is defin” rel=”nofollow”>ined as scale levels 4 and 5) on quality, ease of use, price, and service in” rel=”nofollow”>in the 2014 Customer Survey worksheet? How do these proportions differ by geographic region?
2. What estimates, with reasonable assurance, can PLE give customers for response times to customer service calls?
3. Engin” rel=”nofollow”>ineerin” rel=”nofollow”>ing has collected data on alternative process costs for buildin” rel=”nofollow”>ing transmissions in” rel=”nofollow”>in the worksheet Transmission Costs. Can you determin” rel=”nofollow”>ine whether one of the proposed processes is better than the current process?
4. What would be a confidence in” rel=”nofollow”>interval for an additional sample of mower test performance as in” rel=”nofollow”>in the worksheet Mower Test?
5. For the data in” rel=”nofollow”>in the worksheet Blade Weight, what is the samplin” rel=”nofollow”>ing distribution of the mean, and the standard error of the mean? Is a normal distribution an appropriate assumption for the samplin” rel=”nofollow”>ing distribution of the mean?
6. How many blade weights must be measured to fin” rel=”nofollow”>ind a 95% confidence in” rel=”nofollow”>interval for the mean blade weight with a samplin” rel=”nofollow”>ing error of at most 0 2? What if the samplin” rel=”nofollow”>ing error is specified as 0.1?

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