(chi-square)

Test the research hypothesis that happy is more likely if relationship problems are yes.

Data Analysis:

1. Considering the RQ/RH: -- Does this research hypothesis suggest a symmetrical pattern of relationship, asymmetrical pattern of relationship or no relationship between these variables? Label the contingency table and put in <, > or =

1. Examining the Contingency Table -- below is the output for the chi-square analysis

• Does the "pattern" in the table seem to support the RH? Why or why not?

1. Statistical analysis --

Contingency Tables
	relateprobs
happystatus	yes	no	Total
nothappy		3		3		6
happy		0		10		10
Total		3		13		16

Tests
	Value	df	p
		6.15		1		0.013
N		16

State the H0:

Retain or reject H0:

Support research hypothesis?

Larger contingency tables

We collected data about drug type and therapy type. The researcher was interested in if those who took anxifree or joyzepam were also more likely to attend CBT therapy. Here are the results:

Contingency Tables
	therapy
drug	CBT	notherapy	Total
anxifree	3		3		6
joyzepam	6		0		6
placebo	2		4		6
Total	11		7		18

Tests
	Value	df	p
		6.08		2		0.048
N		18

State the H0:

Retain or reject H0:

Support research hypothesis?