Reference no: EM132250368

Can anyone help me with anwser the following question for a project:

Research Question: Is there a difference in housing expenditures between not married and married people (this is a 2-tailed test)

Two Sample Hypothesis Test that Will Be Used and Rationale for Using It: The two sample hypothesis test will be used to show if being married or not will effect housing expenditures.

State the Random Variable and Parameters in Words: In this two-sample hypothesis test analysis, a marriage variable and a housing expenditure variable will be used to determine whether the occurrence of marriage affects the probability of occurrence of housing expenditures. The marriage variable will be split into two groups: married and not married. 

State Null and Alternative Hypotheses and Level of Significance: There is a significant difference in the housing expenditures between the first group and the second group.

For two-tailed (not equal to): There is significant difference in housing expenditures between the first group and the second group

For one-tailed (>): the first group has statistically significant higher housing expenditures than the second group.

For one-tailed (<): the first group has statistically significant lower housing expenditures than the second group.

The level of significance would be 5% Method Used to Analyze Data: I used the chi-square calculation and other methods. Find the sample statistic, test statistic, and p-value:

Conclusion Regarding Whether or Not to Reject the Null Hypothesis:

This is the data we are to use:

Not Married 18391

Not Married 18514

Not Married 18502

Not Married 18838

Not Married 18633

Not Married 18619

Not Married 18312

Not Married 18484

Not Married 18576

Not Married 18376

Not Married 18520

Not Married 18435

Not Married 18648

Not Married 18389

Not Married 18483

Married 22880

Married 23407

Married 22376

Married 22621

Married 22219

Married 22852

Married 26411

Married 25531

Married 23139

Married 27164

Married 23252

Married 23374

Married 22245

Married 25671

Married 26006