A random sample of male employees is taken at the end of a year and the mean
number of hours of absenteeism for the year is found to be 63 hours. A similar
sample of 50 female employees has a mean of 66 hours. Could these samples be
drawn from a population with the same mean and standard deviation of 10 hours?
(Use α = 5%)
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We will apply the students t test : Independent two sample test.
Size of each sample : n = 50
Assume std deviation of the two samples =
std deviation of the population = s = 10 hours
X1 = mean of first sample = 63 hrs
X2 = mean of 2nd sample = 66 hrs
Confidence level expected = 1 - α = 95%
student's t = (X2 - X1) /[s √(2/n) ] = (66 - 63) / [ 10 √(2/50) ]
= 1.5
Degrees of freedom = size of sample1 - 1 + size of sample2 - 1
= 98
From the t- distribution table with two sided values for probability and 100 deg of freedom:
P (-1.66 < t < 1.66) = 0.90
So P( -1.5 < t < 1.5) < 0.90
Hence, the confidence level is less than 90% to say that the given samples belong to the same population with the same mean.
So answer is NO for α = 5%.
Size of each sample : n = 50
Assume std deviation of the two samples =
std deviation of the population = s = 10 hours
X1 = mean of first sample = 63 hrs
X2 = mean of 2nd sample = 66 hrs
Confidence level expected = 1 - α = 95%
student's t = (X2 - X1) /[s √(2/n) ] = (66 - 63) / [ 10 √(2/50) ]
= 1.5
Degrees of freedom = size of sample1 - 1 + size of sample2 - 1
= 98
From the t- distribution table with two sided values for probability and 100 deg of freedom:
P (-1.66 < t < 1.66) = 0.90
So P( -1.5 < t < 1.5) < 0.90
Hence, the confidence level is less than 90% to say that the given samples belong to the same population with the same mean.
So answer is NO for α = 5%.
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