A business magazine samples 95 individuals responsible for economic forecasting for regional banks. The population is large enough that the with/without replacement distinction doesn’t matter. Suppose that the sample of 95 forecasts yields an average prediction of a 3.7% growth in real disposable income. Assume that the population standard deviation is 5%.
a) Calculate the lower bound for the 95% confidence interval for
the population mean forecast.
b) Calculate the upper bound for the 95% confidence interval for the population mean forecast.
Solution:
Confidence interval for Population mean is given as below:
Confidence interval = x̄ ± Z*σ/sqrt(n)
From given data, we have
x̄ = 3.7
σ = 5
n = 95
Confidence level = 95%
Critical Z value = 1.96
(by using z-table)
Confidence interval = x̄ ± Z*σ/sqrt(n)
Confidence interval = 3.7 ± 1.96*5/sqrt(95)
Confidence interval = 3.7± 1.0054
Lower limit = 3.7- 1.0054 = 2.6946
Upper limit = 3.7+ 1.0054 = 4.7054
Confidence interval = (2.69%, 4.71%)
a) Calculate the lower bound for the 95% confidence interval for the population mean forecast.
Answer: 2.69%
b) Calculate the upper bound for the 95% confidence interval for the population mean forecast.
Answer: 4.71%
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