MGBU 2142 Lecture Notes - Lecture 15: Nules, Confidence Interval, Sampling Distribution
3 Nov 2016
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Chi-squared test of independence example: define h0 and h1: h0 is 2 variables are independence while h1 is 2 variables are not independence, select : is 5, select test statistic w/ df: 2 with 4 df. >9. 49 so reject h0: state business decision: clump should emphasize domestic noneconomic issues & Chi-squared comparison of proportions for k independent variables: special case of independence for 2 variables, where there are only 2 rows of data, critical value for chi-square has (r-1)(k-1) degrees of freedom, but since r=1, it will. Chi-squared comparison of proportions for k independence variables example. Chi-squared tests regarding confidence interval for population variance: population variances usually not known, chi-square permits us to. Come up w/ point & interval estimates of population variance. Test hypotheses about population variance: chi-square w/ n01 degrees of freedom is sampling distribution of for (cid:4666) 1(cid:4667)(cid:3046)22. Assumes that population drawn from is normally distributed samples of size n: point estimate, interval estimate (confidence interval)
