Answer:
95% Confidence interval of the standard deviation: 3.33 ≤ σ ≤ 8.85
Step-by-step explanation:
Sample size = 10
Degrees of freedom = 10-1 = 9
For a 95% confidence interval, we have α=0.05, which gives 2.5% of the area at each end of the chi-square distribution.
We calculate the chi-square values for a 95% confidence interval
Value of chi-square_0.975 = 2.70
Value of chi-square_0.025 = 19.02
We then evaluate [tex][tex]\sqrt{ \frac{(n-1)*s^{2} }{X^{2} }}[/tex][/tex] for the two values of chi-square.
Then we have:
[tex][tex]\sqrt{\frac{(n-1)*s^{2} }{X^{2}}} =\sqrt{\frac{(10-1)*4.848^{2} }{2.70}}=\sqrt{78.34}=8.85\\\\\\sqrt{\frac{(n-1)*s^{2} }{X^{2}}} =\sqrt{\frac{(10-1)*4.848^{2} }{19.02}}=\sqrt{11.12}=3.33[/tex][/tex]
With these results we can express the confidence interval as
3.33 ≤ σ ≤ 8.85