SOLUTION:
From given data,
O | Inactive | Moderate | Vigorous | Total |
Yes | 57 | 296 | 203 | 556 |
No | 506 | 1194 | 875 | 2575 |
Total | 563 | 1490 | 1078 | 3131 |
Calculate "Expected Value" for each entry:
Multiply each row total by each column total and divide by the overall total:
E = (Row total)(Column total) / Grand Total
E | Inactive | Moderate | Vigorous |
Yes | 563*556/3131 = 99.977004 | 1490*556/3131 =264.592782 | 1078*556/3131 =191.430214 |
No | 563*2575/3131 =463.022996 | 1490*2575/3131 =1225.407218 |
1078*2575/3131 =886.569786 |
Subtract expected from actual, square it, then divide by expected:
=
Inactive | Moderate | Vigorous | |
Yes | (57-99.977004)2/99.977004 =18.474477 | (296-264.592782)2/264.592782= 3.728043 | (203-191.430214)2/191.430214=0.699262 |
No | (506-463.022996)2/463.022996=3.989052 | (1194-1225.407218)2/1225.407218 = 0.804968 | (875-886.569786)2/886.569786 = 0.150986 |
(i) the chi-square statistics
=
= 18.474477 +3.728043+0.699262+3.989052+0.804968+0.150986
= 27.847
Degrees of Freedom
= (rows − 1) (columns −
1)
DF = (2 − 1)(3 − 1) = 1×2 = 2
p- value at = 0.05
with DF = 2
P-value = 0.0001
Critical value :
Critical value at = 0.05
with DF = 2
= 5.991
Critical value = 5.991
Interpret the p-value:
Answer : first option is correct
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