From the given information in each case below, state what you know about the P-value for a chi-square test and give the conclusion for a significance level of α = 0.01. Use Table 8 in Appendix A. (Enter your answers to three decimal places.)
(a) χ2 = 4.96, df =
2
__ < P-value < __
(b) χ2 = 12.2, df =
6
__ < P-value < __
(c) χ2 = 21.62, df =
9
__ < P-value < __
(d) χ2 = 19.2, df =
4
P-value < ___
(e) χ2 = 5.86, df =
3
P-value >___
Using Excel functions CHISQ.DIST(test statistic, degrees of freedom, cumulative) and CHISQ.DIST.RT(test statistic, degrees of freedom)
a) χ2 = 4.96, df = 2
Upper = CHISQ.DIST(4.96, 2, TRUE) = 0.916
Lower = CHISQ.DIST.RT(4.96, 2) = 0.084
0..084 < P-value < 0.916
b) χ2 = 12.2, df = 6
Upper = CHISQ.DIST(12.2, 6, TRUE) = 0.942
Lower = CHISQ.DIST.RT(12.2, 6) = 0.058
0.058 < P-value < 0.942
c) χ2 = 21.62, df = 9
Upper = CHISQ.DIST(21.62, 9, TRUE) = 0.990
Lower = CHISQ.DIST.RT(21.62, 9) = 0.010
0.010 < P-value < 0.990
d) χ2 = 19.2, df = 4
Upper = CHISQ.DIST.RT(19.2, 4) = 0.999
P-value < 0.999
e) χ2 = 5.86, df = 3
Lower = CHISQ.DIST.RT(5.86, 3) = 0.119
P-value > 0.119
P-value <
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