Hypotheses: Will students from different college majors (in this case business, psychology, and nursing)are more likely to be involved in certain types of sports played (club sports, intramurals, or high level collegiate sports)? State the null and alternative hypotheses (State these using the variable names; you do not need to use numbers).

Results:Identify the primary goal of thisanalysis. Report the results of the crosstabs (expected vs. observed frequencies)and chi-square test.What the output says about the results. Do college major and type of sport played have a significant relationship, or are these two variables independent of each other? Why or why not?

Conclusions: what does these variables show, including comparing your findings to your guess from the first questions above. What are the limitations of chi-square? How do these limitations apply to the findings? How does thesize of this sample impact the conclusions that can make based on the findings?

Notes
Output Created	08-DEC-2022 20:15:38
Comments
Input	Data	C:\Users\S2050598\Documents\SPSS Assignment 9 Chi square.sav
Active Dataset	DataSet1
Filter
Weight
Split File
N of Rows in Working Data File	30
Missing Value Handling	Definition of Missing	User-defined missing values are treated as missing.
Cases Used	Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.
Syntax	CROSSTABS /TABLES=Sport_Type BY College_Major /FORMAT=AVALUE TABLES /STATISTICS=CHISQ /CELLS=COUNT EXPECTED /COUNT ROUND CELL.
Resources	Processor Time	00:00:00.00
Elapsed Time	00:00:00.00
Dimensions Requested	2
Cells Available	524245

[DataSet1] C:\Users\S2050598\Documents\SPSS Assignment 9 Chi square.sav

Case Processing Summary
	Cases
Valid	Missing	Total
N	Percent	N	Percent	N	Percent
Sport Type * College Major	30	100.0%	0	0.0%	30	100.0%

Sport Type * College Major Crosstabulation
	College Major	Total
Psychology	Business	Nursing
Sport Type	Varsity	Count	6	6	0	12
Expected Count	4.0	5.2	2.8	12.0
Club Sports	Count	3	5	1	9
Expected Count	3.0	3.9	2.1	9.0
Intramurals	Count	1	2	6	9
Expected Count	3.0	3.9	2.1	9.0
Total	Count	10	13	7	30
Expected Count	10.0	13.0	7.0	30.0

Chi-Square Tests
	Value	df	Asymptotic Significance (2-sided)
Pearson Chi-Square	14.311a	4	.006
Likelihood Ratio	15.313	4	.004
N of Valid Cases	30

a. 8 cells (88.9%) have expected count less than 5. The minimum expected count is 2.10.