Question #224259

A sample of 16 ten-year-old girls had a mean weight of 71.5 and a standard deviation of 

12 pounds, respectively. Assuming normality, find the 90, 95, and 99 percent confidence 

intervals forthe mean of the population.


1
Expert's answer
2021-08-10T10:18:28-0400

M=71.5σ=12n=16M=71.5 \\ \sigma=12 \\ n=16

Two-sided confidence interval:

CI=(MZc×σn,M+Zc×σn)CI = (M - \frac{Z_c \times \sigma}{\sqrt{n}}, M + \frac{Z_c \times \sigma}{\sqrt{n}})

For 90 % confidence interval

Zc=1.645CI=(71.51.645×1216,71.5+1.645×1216)=(71.54.935,71.5+4.935)=(66.565,76.435)Z_c=1.645 \\ CI = (71.5 - \frac{1.645 \times 12}{\sqrt{16}}, 71.5 + \frac{1.645 \times 12}{\sqrt{16}}) \\ = (71.5 -4.935, 71.5+4.935) \\ = (66.565, 76.435)

For 95 % confidence interval

Zc=1.96CI=(71.51.96×1216,71.5+1.96×1216)=(71.55.88,71.5+5.88)=(65.62,77.38)Z_c= 1.96 \\ CI = (71.5 - \frac{1.96 \times 12}{\sqrt{16}}, 71.5 + \frac{1.96 \times 12}{\sqrt{16}}) \\ = (71.5 -5.88, 71.5+5.88) \\ = (65.62, 77.38)

For 99 % confidence interval

Zc=2.576CI=(71.52.576×1216,71.5+2.576×1216)=(71.57.728,71.5+7.728)=(63.772,79.228)Z_c= 2.576 \\ CI = (71.5 - \frac{2.576 \times 12}{\sqrt{16}}, 71.5 + \frac{2.576 \times 12}{\sqrt{16}}) \\ = (71.5 -7.728, 71.5+7.728) \\ = (63.772, 79.228)


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