1 / 27

CROSS TABULATION AND TEST OF INDEPENDENCE USING MINITAB AND SPSS

TOPICS. Contingency tables,Pearson's Chi-square test,Likelihood ratio,Introduction to SPSS 13,Examples in SPSS 13,Introduction to MINITAB 14,Examples in MINITAB 14. CONTINGENCY TABLES I.. Each cell of the table represents a combination of a level on the row factor and a level on the column factor, so each case falls in one cell. .

Audrey
Download Presentation

CROSS TABULATION AND TEST OF INDEPENDENCE USING MINITAB AND SPSS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. CROSS TABULATION AND TEST OF INDEPENDENCE USING MINITAB AND SPSS Zsuzsanna Kassai 25th May 2009 Yasar University, Turkey

    2. TOPICS Contingency tables, Pearsons Chi-square test, Likelihood ratio, Introduction to SPSS 13, Examples in SPSS 13, Introduction to MINITAB 14, Examples in MINITAB 14

    3. CONTINGENCY TABLES I. Each cell of the table represents a combination of a level on the row factor and a level on the column factor, so each case falls in one cell.

    4. CONTINGENCY TABLES II. count the number of cases falling in each cell, and report the counts, and related statistics; used primarily to investigate the dependence of two categorical factors on each other.

    5. PEARSONS CHI-SQUARE TEST Formula of Pearsons chi-square test:

    6. CALCULATING CHI-SQUARE TEST I.

    7. CALCULATING CHI-SQUARE TEST II.

    8. CALCULATING CHI-SQUARE TEST III.

    9. ASSUMPTIONS OF THE CHI-SQUARE TEST The expected frequencies should be greater than 5. It is acceptable in larger contingency tables to have up to 20% of expected frequencies below 5. Nonetheless, in larger contingency tables, none of the expected frequencies should be below 1.

    10. THE LIKELIHOOD RATIO An alternative to Pearsons chi-square is the likelihood ratio statistic. The formula is:

    11. SPSS 13

    12. THE START-UP WINDOW IN SPSS

    13. VARIABLE VIEW IN SPSS

    14. DATA VIEW IN SPSS

    15. THE MOST IMPORTANT MENUS IN SPSS File Edit View Data Transform Analyze Compare Means, (t-tests, ANOVA), General Linear Model, Correlate, Regression,Classify (Cluster Analysis), Data Reduction (Factor Analysis),Descriptive Statistics, (Frequencies, Descriptive, Ratio, Crosstabs, etc.).

    16. DIALOG BOX FOR CROSSTABS COMMAND IN SPSS

    17. STATISTICAL OPTIONS FOR NOMINAL DATA IN SPSS Chi-square, Contingency coefficient, Phi and Cramer's V, Lambda, Uncertainty coefficient

    18. STATISTICAL OPTIONS FOR ORDINAL DATA IN SPSS Chi-square, Gamma, Somers' d, Kendall's tau-b, Kendall's tau-c

    19. DIALOG BOX FOR CROSSTABS : CELL DISPLAY IN SPSS

    20. EXAMPLES IN SPSS 13

    21. MINITAB 14

    22. WINDOWS OF MINITAB

    23. THE MOST IMPORTANT MENUS IN MINITAB File, Edit, Manip/Data, Calc, Graph, Stat: Basic statistics, Regression, ANOVA, Multivariate (Principal components, Factor Analysis, Cluster Analysis, Discriminant Analysis, ),Tables (Crosstabulation and Chi-square test), etc.

    24. DIALOG BOX FOR CROSS TABULATION COMMAND IN MINITAB

    25. CHI-SQUARE DIALOG BOX IN MINITAB

    26. OTHER STATISTICS IN MINITAB

    27. EXAMPLES IN MINITAB 14

    28. Thank you for attention!

More Related