BUSMGT 2320 Lecture 7: 7. Chi-Square Lecture

31 views4 pages

Document Summary

The chi-square test statistic and the chi-square distribution. Observed count = # of items in the sample with a given characteristic. # of green m&m"s in a 12 oz. package. Expected count = # of items in the sample that should have a given characteristic if a certain condition exists in the population b. c. d. ________ differences in the o and the e indicate incompatibility between what is occurring and what should occur under h0. ________ differences in the cause the x2 to be large. ________ values of x2 reject the hypothesized population condition. Given an srs and all exp >=5, when the null hypothesis is true, x2 has a chi-square sampling distribution. The distribution has one parameter, degrees of freedom. H0: the row and column variables are not associated. Ha: the row and column variables are associated. Two models for the test of association a. Separate and independent random samples are taken from each of c populations.

Get access

Grade+20% off
$8 USD/m$10 USD/m
Billed $96 USD annually
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
40 Verified Answers
Class+
$8 USD/m
Billed $96 USD annually
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
30 Verified Answers