In: Statistics and Probability
Let's assume our class represents a normal population with a known mean of 90 and population standard deviation 2. There are 100 students in the class.
a. Construct the 95% confidence interval for the population mean.
b. Interpret what this means.
c. A few students have come in. Now we cannot assume normality and we don't know the population standard deviation. Let the sample mean = 90 and sample standard deviation = 3. Let's make the sample size 20. We can assume alpha to be .05. Construct the 95% confidence interval assuming this new information.
Solution :
Given that,
a) Point estimate = sample mean =
= 90
Population standard deviation =
= 2
Sample size = n = 100
At 95% confidence level
= 1 - 95%
= 1 - 0.95 =0.05
/2
= 0.025
Z/2
= Z0.025 = 1.96
Margin of error = E = Z/2
* (
/n)
= 1.96 * ( 2 / 100
)
= 0.39
At 95% confidence interval estimate of the population mean is,
± E
90 ± 0.39
( 89.61, 90.39 )
b) We are 95% confident that the true mean of our class represents between 89.61 and 90.39.
c) Point estimate = sample mean = = 90
sample standard deviation = s = 3
sample size = n = 20
Degrees of freedom = df = n - 1 = 20 - 1 = 19
At 95% confidence level
= 1 - 95%
=1 - 0.95 =0.05
/2
= 0.025
t/2,df
= t0.025,19 = 2.093
Margin of error = E = t/2,df * (s /n)
= 2.093 * (3 / 20)
Margin of error = E = 1.40
The 90% confidence interval estimate of the population mean is,
± E
= 90 ± 1.40
= ( 88.60, 91.40 )