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The table below cross-classifies marital status and happiness. The values in par

ID: 3250370 • Letter: T

Question

The table below cross-classifies marital status and happiness. The values in parentheses are standardized residuals. 1) Software reports that the 2= 236.4. Find the p-value. If = 0.05, would you conclude that marital status and happiness are statistically independent? Be sure to pay attention to the degrees of freedom in this table when calculating the p-value.

Show work please.

The table below cross-classifies marital status and happiness. The values in parentheses are standardized residuals. MARITAL HAPPINESS Pretty Happy STATUS Very Happy Not Too Happy Total 93 (-10.00 720 (-5.4) Married 600 (13.1) 1413 63 (-2.2) 142 (-0.2) 51 (3.4) Widowed 256 304 (3.2) 485 93 (-6.1) 88 (3.6) Divorced Separated 19 (-2.7) 51 (-1.2) 31 (5.3) 101 730 Never Married 144 (-7.4) 459 (4.2) 127 (4.0) 919 390 Total 1676 2985 Source: 2006 GSS 1) Software reports that the 236.4. Find the p-value. If a -0.05, would you conclude that marital status and happiness are statistically independent? Be sure to pay attention to the degrees of freedom in this table when calculating the p-value.

Explanation / Answer

Answer to the question)

Given that chi square vlaue of the statistic is : 236.4

The degree of freedom is calculated by the formula

df = (r -1) * (c - 1)

where :

r = total number of rows

c = total number of columns

.

In the table above (exclude the last row fo total) we got r = 5

c = 3

.

On plugging these vlaues we get:

df = (5-1) * (3-1)

d f= 8

.

Now we got df = 8 , adn chi square statistic = 236.4 ,w e can find the P value with the help of excel or online P value calculator

.

With excel, the formula is :

=1-CHISQ.DIST(236.4,8,1)

we get P value = 0

.

On online calculator as well it gives the result : P value < 0.00001

.

Thus as significance level 0.05

We conclude that as P value is less than 0.05 , we reject the null hypothesis and conclude that the marital stauts and happiness are statstically significant.

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