Question

EVER BEEN DIVORCED OR SEPARATED * DEALING WITH DRUG ADDICTION Crosstabulation
			DEALING WITH DRUG ADDICTION			Total
			TOO LITTLE	ABOUT RIGHT	TOO MUCH
EVER BEEN DIVORCED OR SEPARATED	YES	Count	147	84	32	263
		% within DEALING WITH DRUG ADDICTION	26.1%	26.9%	26.4%	26.4%
	NO	Count	417	228	89	734
		% within DEALING WITH DRUG ADDICTION	73.9%	73.1%	73.6%	73.6%
Total		Count	564	312	121	997
		% within DEALING WITH DRUG ADDICTION	100.0%	100.0%	100.0%	100.0%

The description of this table is that there that are dealing with drug addicted spouses and if this has a correlation to ever have been divorced or separated. According to the table the sample population exclaims that 26.1 % of the participants dealing with drug addiction are, yes, dealing with ‘Too Little’ drug addiction. As well as, 26.9%are dealing with yes ‘About Right’ dealing with drug addiction, 26.4% are, yes, dealing are dealing with ‘TooMuch’ of drug addiction. On

In addition, 73.9% are no dealing with drug addiction ‘To Little’, 73.1% are dealing with drug addition ‘About Right’, 73.6% are no dealing with drug addiction ‘TooMuch’. The interpretation of the table is being Divorced or not has no significant influence on being cured of drug addiction. 26.9% of divorced are cured, and 73.1% of not Divorced are cured. Hypothesis (H1) is that the research hypothesis is that people that have problems with drug addiction will probably get divorced or separated. The null (H0) is that no relationship between spouses is drug addicted that are leading todivorce. The strength of the relationship between whoever has been divorced or separated because of dealing with drug addiction is negative correlation between the relationship. What I found interesting in the result is that none of the results, and that there is no correlation to leading to divorce. A lot of people are not no married to drug addicted spouses, and that there is a lot other reason that can lead to divorce or separation. What I would change about the study is add more participants to the study. I would like to add a wider range to the sample population. As well as conduct a study on how many people are having trouble with drug addicted spouses and have more evidence if that is the leading cause to divorce. I would like to evaluate more in depth if this is the leading cause to divorce or separation in the United States. Moving forward I would like to see if the data even back the statistic of why people are marriages not working out. So that we can try and reduce the number of American getting divorced, and have people have a piece of mind.

Chi-Square Tests
	Value	df	Asymptotic Significance (2-sided)
Pearson Chi-Square	.077a	2	.962
Likelihood Ratio	.077	2	.962
Linear-by-Linear Association	.036	1	.849
N of Valid Cases	997
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 31.92.

Fail to reject the null hypothesis. I need the correct hypothesis . Send me the details with correct hypothesis

Answer 1

The null and alternative hypotheses are: Ho: The ever been divorced or separated and dealing with drug addiction are independent. Hj: The ever been divorced or separated and dealing with drug addiction are dependent The value of test statistic is: x2 = 0.077 The p-value is 0.962 Conclusion: The p-value of Chi-square test is greater than 0.05. Hence we fail to reject null hypothesis at 5% level of significance and conclude that the ever been divorced or separated and dealing with drug addiction are independent