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fredd [130]
2 years ago
5

the mean of a sample size n=35 is 1860. the standard deviation of the sample is 102 and the population is normally distributed.

construct a 99% confidence interval estimate of the mean of the population.
Mathematics
1 answer:
emmainna [20.7K]2 years ago
7 0

Answer: (1812.967, 1907.033)

Step-by-step explanation:

The confidence interval for population mean is given by :-

\overline{x}\pm t_{df,\ \alpha} \dfrac{s}{\sqrt{n}}

, where \overline{x} = Sample mean

n= Sample size.

s = Sample standard deviation

t_{df,\ \alpha} = Critical t-value for degree of freedom(n-1).

As per given , we have

n= 35

\overline{x}=1860

s=102

Significance level : \alpha=0.01

By t- distribution table , for degree of freedom 43 and \alpha=0.01 , we have

t_{df,\ \alpha}=t_{34,\ 0.005} =2.728

Substitute all the values in the above formula , we will get

1860\pm (2.728)\dfrac{102}{\sqrt{35}}

=1860\pm (2.728)(17.2411)

=1860\pm47.034

=(1860-47.033\ 1860+47.033)= (1812.967,\ 1907.033)

Hence, the  99% confidence interval estimate of the mean of the population is  (1812.967, 1907.033).

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