a)
sample mean, xbar = 890
sample standard deviation, s = 15
sample size, n = 16
degrees of freedom, df = n - 1 = 15
Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, tc = t(α/2, df) = 2.131
ME = tc * s/sqrt(n)
ME = 2.131 * 15/sqrt(16)
ME = 7.991
CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (890 - 2.131 * 15/sqrt(16) , 890 + 2.131 * 15/sqrt(16))
CI = (882.009 , 897.991)
b)
sample mean, xbar = 890
sample standard deviation, s = 30
sample size, n = 16
degrees of freedom, df = n - 1 = 15
Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, tc = t(α/2, df) = 2.131
ME = tc * s/sqrt(n)
ME = 2.131 * 30/sqrt(16)
ME = 15.983
CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (890 - 2.131 * 30/sqrt(16) , 890 + 2.131 * 30/sqrt(16))
CI = (874.018 , 905.983)
c)
sample mean, xbar = 890
sample standard deviation, s = 60
sample size, n = 16
degrees of freedom, df = n - 1 = 15
Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, tc = t(α/2, df) = 2.131
ME = tc * s/sqrt(n)
ME = 2.131 * 60/sqrt(16)
ME = 31.965
CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (890 - 2.131 * 60/sqrt(16) , 890 + 2.131 * 60/sqrt(16))
CI = (858.035 , 921.965)
d)
The interval gets wider as s increases
A random sample of 16 items is drawn from a population whose standard deviation is unknown....
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