In: Statistics and Probability
The caloric consumption of 44 adults was measured and found to average 2133. Assume the population standard deviation is 270 calories per day. Construct confidence intervals to estimate the mean number of calories consumed per day for the population with the confidence levels shown below.
a. 91%
b. 95%
c. 97%
Solution :
Given that,
= 2133
= 270
n = 44
a ) At 91% confidence level the z is ,
= 1 - 91% = 1 - 0.91 = 0.09
/ 2 = 0.09 / 2 = 0.045
Z/2 = Z0.045 = 1.695
Margin of error = E = Z/2* (/n)
= 1.695 * ( 270 / 44)
= 69
At 91% confidence interval estimate of the population mean is,
- E < < + E
2133 - 69 < < 2133 + 69
2064 < < 2202
( 2064 , 2202 )
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 = 1.960
Margin of error = E = Z/2* (/n)
= 1.960 * ( 270 / 44)
= 80
At 95% confidence interval estimate of the population mean is,
- E < < + E
2133 - 80 < < 2133 + 80
2053 < < 2213
( 2053 , 2213 )
c ) At 97% confidence level the z is ,
= 1 - 97% = 1 - 0.97 = 0.03
/ 2 = 0.03 / 2 = 0.015
Z/2 = Z0.015 = 2.170
Margin of error = E = Z/2* (/n)
= 2.170 * ( 270 / 44)
= 88
At 97% confidence interval estimate of the population mean is,
- E < < + E
2133 - 88 < < 2133 + 88
2045 < < 2221
( 2045 , 2221 )