Upper limit of the confidence interval


The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the last year. A random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12 employees were absent more than 10 days. a)In estimating a 95% confidence interval estimate of the average number of days absent for the company's workers last year what will be the standard error b) . In estimating a 95% confidence interval estimate of the average number of days absent for the company's workers last year should you use a z or t value in the formula? c) In estimating a 95% confidence interval estimate of the average number of days absent for the company's workers last year what would be the value of your UPPER limit? d)In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the sample proportion used in the formula? e) In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year would you use a z or t in the formula? f) In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the value of the Z used in the formula? g) In estimating the 95% confidence interval estimate of the proportion of workers absent more than 10 days last year what is the upper limit of the confidence interval?

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