Presentation is loading. Please wait.

Presentation is loading. Please wait.

1 2 Test for Independence 2 Test for Independence.

There are copies: 1
1 2 Test for Independence 2 Test for Independence.

Similar presentations


Presentation on theme: "1 2 Test for Independence 2 Test for Independence."— Presentation transcript:

1 1 2 Test for Independence 2 Test for Independence

2 2 Data Types

3 3 Hypothesis Tests Qualitative Data

4 4 2 Test of Independence 2 Test of Independence 1.Shows If a Relationship Exists Between 2 Qualitative Variables, but does Not Show Causality 2.Assumptions Multinomial Experiment All Expected Counts 5 3.Uses Two-Way Contingency Table

5 5 2 Test of Independence Contingency Table 2 Test of Independence Contingency Table 1.Shows # Observations From 1 Sample Jointly in 2 Qualitative Variables 1.Shows # Observations From 1 Sample Jointly in 2 Qualitative Variables

6 6 2 Test of Independence Contingency Table 2 Test of Independence Contingency Table 1.Shows # Observations From 1 Sample Jointly in 2 Qualitative Variables Levels of variable 2 Levels of variable 1

7 7 2 Test of Independence Hypotheses & Statistic 2 Test of Independence Hypotheses & Statistic 1.Hypotheses H 0 : Variables Are Independent H 0 : Variables Are Independent H a : Variables Are Related (Dependent) H a : Variables Are Related (Dependent)

8 8 2 Test of Independence Hypotheses & Statistic 2 Test of Independence Hypotheses & Statistic 1.Hypotheses H 0 : Variables Are Independent H a : Variables Are Related (Dependent) 2.Test Statistic Observed count Expected count

9 9 2 Test of Independence Hypotheses & Statistic 2 Test of Independence Hypotheses & Statistic 1.Hypotheses H 0 : Variables Are Independent H a : Variables Are Related (Dependent) 2.Test Statistic Degrees of Freedom: (r - 1)(c - 1) Rows Columns Observed count Expected count

10 10 Expected Count Example

11 11 Expected Count Example 112 160 Marginal probability =

12 12 Expected Count Example 112 160 78 160 Marginal probability =

13 13 Expected Count Example 112 160 78 160 Marginal probability = Joint probability = 112 160 78 160

14 14 Expected Count Example 112 160 78 160 Marginal probability = Joint probability = 112 160 78 160 Expected count = 160· 112 160 78 160 = 54.6

15 15 Expected Count Calculation

16 16 Expected Count Calculation

17 17 Expected Count Calculation 112x82 160 48x78 160 48x82 160 112x78 160


Download ppt "1 2 Test for Independence 2 Test for Independence."

Similar presentations


Ads by Google