QUESTION 3 The labor relations manager of a large corporation wished to study th

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QUESTION 3 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. In estimatng a 95% confideice interval estimate of the average number of days absent for the company's workers last year what degrees of freedom will you use in calculating the margin of eror QUESTION 4 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. ln estimating a 95% confidence menal estimate of the average number of days absent for the company's workers last year what will be the value of your t statistic used in calculating your margin of error? QUESTION 5 The labor relations manager of a large corporation wished to study the absenteeism among workers at the company's central office during the ast year a random sample of 25 workers revealed the following: an average of 9.7 days; a standard deviation of 4.0 days; and 12employees ww absent more than 10 daysIn estimating a 95% oomf dence interval estimate of the average number of days absent for the co panys workers last year what is your margin of error? QUESTION 6 The labor relations manager of a large corporation wished to study the absenteelsm among workers at the compary'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. In estm atrg a 95% contidence roerval est ate of theaverage number of days absent Of the company's workers last year what would be the value of your UPPER limit? 3 4 5 6 8 WE

Explanation / Answer

3)

df = n -1 = 25-1 = 24
4)

for 95 %
t- critical value = =T.INV(0.975,24)
= 2.063899

5)
margin of error = t * sd/sqrt(n)
= 2.063899 * 4/ sqrt(25)
= 1.6511192

6)
upper limit = mean + margin of error
= 9.7 + 1.6511192
= 11.3511192

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