SESSION:11 The Chi-Square Distribution
Chapter Review
Session:11 The Chi-Square Distribution Chapter Review Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 11.1 Facts About the Chi-Square Distribution The chi-square distribution is a useful tool for assessment in a series of problem categories. These problem categories […]
SESSION:11 The Chi-Square Distribution
Key Terms
Session:11 The Chi-Square Distribution Key Terms Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Contingency Table a table that displays sample values for two different factors that may be dependent or contingent on one another; it facilitates […]
SESSION:11 The Chi-Square Distribution
11.6 Comparison of the Chi-Square Tests
Session:11 The Chi-Square Distribution 11.6 Comparison of the Chi-Square Tests Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Above the χ2 test statistic was used in three different circumstances. The following bulleted list is a summary of which χ2 test is […]
SESSION:11 The Chi-Square Distribution
11.5 Test for Homogeneity
Session:11 The Chi-Square Distribution 11.5 Test for Homogeneity Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to […]
SESSION:11 The Chi-Square Distribution
11.4 Test of Independence
Session:11 The Chi-Square Distribution 11.4 Test of Independence Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Tests of independence involve using a contingency table of observed (data) values. The test statistic for a test of independence is similar to that of […]
SESSION:11 The Chi-Square Distribution
11.3 Goodness-of-Fit Test
Session:11 The Chi-Square Distribution 11.3 Goodness-of-Fit Test Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics In this type of hypothesis test, you determine whether the data “fit” a particular distribution or not. For example, you may suspect your unknown […]
SESSION:11 The Chi-Square Distribution
11.2 Test of a Single Variance
Session:11 The Chi-Square Distribution 11.2 Test of a Single Variance Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics Thus far our interest has been exclusively on the population parameter μ or it’s counterpart in the binomial, p. […]
SESSION:11 The Chi-Square Distribution
11.1 Facts About the Chi-Square Distribution
Session:11 The Chi-Square Distribution 11.1 Facts About the Chi-Square Distribution Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics The notation for the chi-square distribution is: χ∼χ2df �∼���2 where df = degrees of freedom which depends on how chi-square is being used. […]
SESSION:10 Hypothesis Testing with Two Samples
Solutions
Session:10 Hypothesis Testing with Two Samples Solutions Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 1. two proportions 3. matched or paired samples 5. single mean 7. independent group means, population standard deviations and/or variances unknown 9. […]
SESSION:10 Hypothesis Testing with Two Samples
References
Session:10 Hypothesis Testing with Two Samples References Introductory Business Statistics | Leadership Development – Micro-Learning Session Rice University 2020 | Michael Laverty, Colorado State University Global Chris Littel, North Carolina State University| https://openstax.org/details/books/introductory-business-statistics 10.1 Comparing Two Independent Population Means Data from Graduating Engineer + Computer Careers. Available online at http://www.graduatingengineer.com Data from Microsoft Bookshelf. Data from the […]