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value of chi-square. d. Give the degrees of freedom and the p- value and state your conclusions. 2. The following two-way tab
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Employed full time Not Employed full time Marginal Row Totals
Earned at least a high school diploma 52 40 92
Did not Earn a high school diploma 30 35 65
Marginal Column Totals 82 75 157    (Grand Total)

Expected cell counts

E11 = (92*82)/157 = 48.05 , E12 = 92*75/157 = 43.95 , E21 = 65*82/157 = 33.95 , E22 = 65*75/157 = 31.05

Employed full time Not Employed full time Marginal Row Totals
Earned at least a high school diploma 52   (48.05) 40   (43.95) 92
Did not Earn a high school diploma 30   (33.95) 35   (31.05) 65
Marginal Column Totals 82 75 157    (Grand Total)

the values in () in the above table are the Expected counts.

Hypothesis:

H0 : employment status and levels of education are independent of each other.

H1 : employment status and levels of education are not independent of each other.

test statistic Eij z( 99 = 0)33=zX = (52 - 48.05)2/48.05 + .....+ (35 - 31.05)2/31.05 = 1.641

degrees of freedom = (r-1)(c-1) = (2-1)(2-1) = 1

r = number of rows = 2

c = number of columns = 2

p-vlaue = 0.2001.

level of significance alpha = 0.05

Since p-value is greater than alpha we fail to reject null hypothesis and there is no significant evidence to conclude that the "employment status and levels of education are independent of each other."


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