Retirement and residential area using chi square test

Reference no: EM1321318

Test whether the relationship between the plan at retirement and residential area using Chi square test.

In a survey of 1500 residents of a particular county, each person was asked if he or she plans to relocate when reaching retirement age, and it was also recorded whether the person currently lives in a rural, suburban, or urban area of the county. The results of the survey are presented in the contingency table below.

Observed Frequencies
		Plan at Retirement
		Planning to relocate	Not planning to relocate	Totals
Residential Area	Rural	127	202	329
Suburban	384	117	501
Urban	358	312	670
Totals	869	631	1500

We are interested in determining whether there is a relationship between the plan at retirement and the residential area.

Compute the expected frequencies. (Fill in the blanks in the table. One value is already supplied.)

At the 0.01 level of significance, is there evidence of a significant relationship between the plan at retirement and the residential area? In carrying out your work please include the following information:

Expected Frequencies
		Plan at Retirement
		Planning to relocate	Not planning to relocate	Totals
Residential Area	Rural	190.6	_______	329
Suburban	_______	_______	501
Urban	_______	_______	670
Totals	869	631	1500

a) State the Null hypothesis:Ho:

b) State the Alternative hypothesis: Ha:

c) Find Degrees of freedom

d) Compute the Chi Square Statistic and enter the value only in your posting. Χ2 = ?

e) Find Critical value.

f) State the Conclusion: Reject Ho? (Yes or No)

Reference no: EM1321318

Questions Cloud

Calculate probability values : Calculate probability values.

If the company requires a minimum return : If the company requires a minimum return of 25%, illustrate what should be the minimum yrly sales for 12 yrs to justify the investment.

Managers to understand the mechanics of demand : Elucidate why it is important for managers to understand the mechanics of demand also supply in both short-run also long-run

Estimating-population mean difference : Make a point estimate of the population mean difference in endurance after taking the herbs. Make a 95% confidence interval estimate of the population mean difference.

Retirement and residential area using chi square test : Test whether the relationship between the plan at retirement and residential area using Chi square test.

Apply chi square test : Apply Chi Square test of independence to test whether there exists any association between two variables.

Successful or unsuccessful information systems project : Discuss either a successful or an unsuccessful information systems project (either a project that you know about personally from work, or one that you learned about by researching news accounts of IS projects on the Web).

Use of sweatshop labour : What do you think about the use of sweatshop labour? How does your understanding of labour economics influence your opinion?

True mean difference among pretreatment and after treatment : Calculate a 99% confidence interval for the true mean difference between pretreatment and after treatment testosterone levels of young male TBI patients.

User Account

All Pages