REVISION

Case Processing Summary
	Valid	Total
	N	Percent	N	Percent	N	Percent
Suicide 1* Genders	984	49.8%	990	50.2%	984	100.0%

Chi-Square Tests
	Value	df	Asymptotic Significance (2-sided)
Pearson Chi-Square	32.411a	16.00	0.01
Likelihood Ratio	27.331	16.00	0.003
Linear-by-Linear Association	4.017	1.00	0.03
N of Valid Cases	984
a. 9 cells (33.3%) have expected count less than 5. The minimum expected count is 0.48.

Research Question:

Doesn't a person’s social class determine their view on suicide? 

Variables:

i) The dependent variable I suicide.

ii) The dependent variable is gender (sex) Variable is ordinal.

1. Write your research hypothesis (H1) and your null hypothesis (H0).

H1: gender (sex) not same on the issues related to suicide

H0: gender (sex) same on the issues related to suicide

2. Identify and record your level of significance: either .05 or .01.

Alpha values is either 0.05 or 0.01. We take the values of significance is 0.05

1. Complete the test using SPSS.

Test is shown above.

4. Identify the number under Sig. (2-tail). This will be represented by "p." compare the numbers in steps 2 (level of significance) and 4 and apply the following rule:

If p < or = level of significance, than you reject the null hypothesis

As we can see in the above analysis that the p values (P-value=0.01) is less than 0.05 (level of significance). Therefore we reject the null hypothesis.

5. Determine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain what that means to your research.

As I done the chi square test. My deepened variable is gender (sex) and dependent variable is suicide form the SPSS output we can easily see and conclude that the SPSS output the Chi-Square value is 32.12, it is shows our chi square statistics and the degree of freedom is 16 and the significance p-value is 0.01. the statistical test and analysis shows the significance p level is less than cut off value we are fail to accept the null hypothesis conclude that there signifies evidence to support the alternative hypothesis that gender (sex) not same on the issues related to suicide.

Now I additionally conclude that the bottom of the Chi square values shows that 33% of the cells have expected frequency that are lessor than 5.

Professors comments:

Professors comment: Hi Hussain you still need to include your crosstabs, with percentages on the columns here. Please recomplete your work with this item included.