MM207FinalProject

# Sample of size 35 statcrunch output for random sample

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show the data from your sample and the data to support your estimate. Sample of size 35. Statcrunch output for random Sample is as follows. Sample(Q6 How many credit hours are you taking this term?) 11

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MM207 Final Project 11 6 12 15 10 11 12 6 12 10 12 11 11 10 10 11 10 17 11 10 12 5 12 8 17 18 11 10 23 10 10 11 10 10 Estimated average number of credit hours = 11.31 and the 95% Confidence Interval is (10.1929, 12.4356) Variable n Sample Mean Std. Err. L. Limit U. Limit Sample(Q6 How many credit hours are you taking this term?) 35 11.314285 0.5721424 10.19290 7 12.43566 4
MM207 Final Project 95% confidence interval results: μ : mean of Variable Std. Dev. not specified 8. Assume that the MM207 Student Data Set is a random sample of all Kaplan students; estimate the proportion of all Kaplan students who are male using a 90% level of confidence. Proportion of all Kalpen students who are male is 17.59 % at 90 percent confidence. Statcrunch Output: 90% confidence interval results: Outcomes in : Gender Success : Male p : proportion of successes Method: Standard-Wald 9. Assume you want to estimate with the proportion of students who commute less than 5 miles to work within 2%, what sample size would you need? n = 1/ E 2 = 1 / 0.02 2 = = 1 / 0.0004 = 2500 10. A professor at Kaplan University claims that the average age of all Kaplan students is 36 years old. Use a 95% confidence interval to test the professor's claim. Is the professor's claim reasonable or not? Explain. Professor’s claim is reasonable (at 95 % confidence Interval), since the age 36 lies within the 95% confidence interval Variable Count Total Sample Prop. Std. Err. L. Limit U. Limit Gender 41 233 0.17596567 0.024946446 0.13493241 0.21699892

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MM207 Final Project Statcrunch Output. 95% confidence interval results: μ : mean of Variable Std. Dev. not specified Variable n Sample Mean Std. Err. L. Limit U. Limit Q2 How old are you? 237 37.291138 0.67025393 35.977467 38.604813
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