the ratio of sample variance (S2) and population variation (K2) is a chi-squared distribution.
So, if the sample size is n, the statistic (n-1)S2 / K2 has a chi-squared distribution with n-1 degrees of freedom
Proceed with finding the sample mean which comes out to be 60.83
Variance S2 = 16.972
Now, chi-squared distribution is not symmetrical like normal distribution.
90% confidence interval lies between the two black lines. Two find the chi-squared values at the two points we will divide 10% into two 5% parts.
Note : while reading a chi-squared table the values correspond to area to the right of the values.
Values of A and B can be found from chi-squared table and are B=19.67 and A=4.57
therefore, estimate for population standard deviation is
((n-1)S2 / B) < K2 < ((n-1)S2 / A)
9.49< K2<40.85
3.08 < K < 6.39
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