number of degrees of freedom can be determined by interpolation from tabu-
lated values of the PDF of the chi-squared distribution.
Table A.5 in Appendix A gives selected values of^2 n, for various values of n
and. F or convenience, Equation (9.144) is commonly used for constructing
two-sided confidence intervals for^2 of a normal population. If a one-sided
confidence interval is desired, it is then given by (see F igure 9.10)
Example 9.20.Consider Example 9.19 again; let us determine both two-sided
and one-sided 95% confidence intervals for^2.
As seen from Example 9.19, the observed sample variance s^2 ,is
The values of are obtained from Table A.5 to be as
follows:
Equations (9.144) and (9.145) thus lead to, with n 10 and 0.05,
fD(d)
1–
d
n,
2
Figure 9. 10 One-sided [100(1 )]% confidence limit for D with n degrees of freedom
Parameter Estimation 303
α
α
χ α
P ^2 >
n 1 S^2
^2 n 1 ;
"
1 : 9 : 145
s^2 1414 : 3 :
^2 9, 0: 975 ,^2 9, 0: 025 , and^2 9, 0: 05