a) If n=10<30 hence t statistic used
The formula for estimation is:
μ = M ± t(sM)
where:
M = sample mean
t = t statistic determined by confidence level
sM = standard error = √(s2/n)
Calculation
M = 1.045
t = 1.83
sM = √(10.52/10) = 3.32
μ = M ± t(sM)
μ = 1.045 ± 1.83*3.32
μ = 1.045 ± 6.08665
90% CI [-5.04165, 7.13165].
b) If n=25 again t statistic is used
Calculation
M = 1.045
t = 1.71
sM = √(10.52/25) = 2.1
μ = M ± t(sM)
μ = 1.045 ± 1.71*2.1
μ = 1.045 ± 3.59285
90% CI [-2.54785, 4.63785].
c) Since n=100>30 hence here we can use Z statistic insted if t ststistic
The formula for estimation will become now as:
μ = M ± Z(sM)
where:
M = sample mean
Z = Z statistic determined by confidence level
sM = standard error = √(s2/n)
M = 1.045
Z= 1.64
sM = √(10.52/100) = 1.05
μ = M ± Z(sM)
μ = 1.045 ± 1.64*1.05
μ = 1.045 ± 1.7271
90% CI [-0.6821, 2.7721]
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