In: Statistics and Probability
Use the sample information x⎯⎯x¯ = 40, σ = 3,
n = 18 to calculate the following confidence intervals for
μ assuming the sample is from a normal population.
(a) 90 percent confidence. (Round your answers to 4 decimal
places.)
The 90% confidence interval is from to
(b) 95 percent confidence. (Round your answers to 4 decimal
places.)
The 95% confidence interval is from to
(c) 99 percent confidence. (Round your answers to 4 decimal
places.)
The 99% confidence interval is from to
(d) Describe how the intervals change as you increase the
confidence level.
Solution :
Given that,
Point estimate = sample mean = = 40
Population standard deviation = = 3
Sample size = n = 18
a)
At 90% confidence level the z is ,
= 1 - 90% = 1 - 0.90 = 0.10
/ 2 = 0.10 / 2 = 0.05
Z/2 = Z0.05 = 1.645
Margin of error = E = Z/2* ( /n)
= 1.645 * (3 / 18 )
= 1.1632
At 90% confidence interval estimate of the population mean is,
- E < < + E
40 - 1.1632 < < 40 + 1.1632
38.8368 < < 41.1632
The 90% confidence interval is (38.8368 , 41.1632)
b)
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96
Margin of error = E = Z/2* ( /n)
= 1.96 * (3 / 18 )
= 1.3859
At 95% confidence interval estimate of the population mean is,
- E < < + E
40 - 1.3859 < < 40 + 1.3859
38.6141< < 41.3859
The 95% confidence interval is (38.6141 , 41.3859)
c)
At 99% confidence level the z is ,
= 1 - 99% = 1 - 0.99 = 0.01
/ 2 = 0.01 / 2 = 0.005
Z/2 = Z0.005 = 2.576
Margin of error = E = Z/2* ( /n)
= 2.576 * (3 / 18 )
= 1.8215
At 99% confidence interval estimate of the population mean is,
- E < < + E
40 - 1.8215 < < 40 + 1.8215
38.1785 < < 41.8215
The 99% confidence interval is (38.1785 , 41.8215)
d)
Increasing the confidence will increase the margin of error resulting in a wider interval.