The average height of students at uh from an srs of 13 students gave a standard deviation of 2. 8 feet. Construct a 95% confidence interval for the standard deviation of the height of students at uh. Assume normality for the data.



Answer :

Using the Chi-Square distribution table, the confidence interval for the standard deviation of the height of students at uh is (2.20, 5.26)

The following formulas provide the standard deviation's confidence interval:

[tex](\sqrt{\frac{(n-1)(s)^{2} }{X^{2}_{n-1,\alpha/2 } } } , \sqrt{\frac{(n-1)(s)^{2} }{X^{2}_{n-1, 1-\alpha /2} } }[/tex]

Given parameters:

n= 12 ; s= 3.1

Significance level :

[tex]\alpha - 1 = 1 - 0.95 = 0.05[/tex]

Using  Chi-square distribution table,

[tex]X^{2} _{11, 0.025} =21.95\\\\X^{2} _{11, 0.975} = 3.82[/tex]

Currently, the following equations provide the 95% confidence interval for the standard deviation of students' heights at UH:-

[tex](\sqrt{\frac{(11)(3.1)^{2} }{21.92 } } , \sqrt{\frac{(11)(3.1)^{2} }{3.82 } } =(2.20, 5.26)[/tex]

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