In: Statistics and Probability
Let the following sample of 8 observations be drawn from a
normal population with unknown mean and standard deviation: 24, 23,
13, 22, 14, 17, 29, 19.
a. Calculate the sample mean and the sample
standard deviation. (Round intermediate calculations to at
least 4 decimal places. Round "Sample mean" to 3 decimal places and
"Sample standard deviation" to 2 decimal places.)
b. Construct the 95% confidence interval for the population mean. (Round "t" value to 3 decimal places and final answers to 2 decimal places.)
c. Construct the 99% confidence interval for the population mean. (Round "t" value to 3 decimal places and final answers to 2 decimal places.)
Solution :
Given that,
a)
Point estimate = sample mean = = Xi / n
= ( 24+23+13+22+14+17+29+19 )/8
= 161 / 8
= 20.125
sample standard deviation = s = ( X - ) / n-1
= (24-20.125)+(23-20.125)+(13-20.125)+(22-20.125)+(14-20.125)+(17-20.125)+(29-20.125)+(19-20.125) / 8 - 1
= 37.87 / 7
= 5.41
sample size = n = 8
Degrees of freedom = df = n - 1 = 7
b)
At 95% confidence level the t is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
t /2,df = t0.025,7 = 2.365
Margin of error = E = t/2,df * (s /n)
= 2.365 * ( 5.41/ 8)
= 4.52
The 95% confidence interval estimate of the population mean is,
- E < < + E
20.125 - 4.52 < < 20.125 + 4.52
15.61 < < 24.66
(15.61 , 24.66)
c)
At 99% confidence level the t is ,
= 1 - 99% = 1 - 0.99 = 0.01
/ 2 = 0.01 / 2 = 0.005
t /2,df = t0.005,7 = 3.499
Margin of error = E = t/2,df * (s /n)
= 3.499 * ( 5.41/ 8)
= 6.69
The 99% confidence interval estimate of the population mean is,
- E < < + E
20.125 - 6.69 < < 20.125 +6.69
15.61 < < 26.82
(15.61 , 26.82)