Describe explain what the results mean
Chi-Square Tests |
|||
Value |
df |
Asymptotic Significance (2-sided) |
|
Pearson Chi-Square |
65.638a |
3 |
.000 |
Likelihood Ratio |
50.911 |
3 |
.000 |
Linear-by-Linear Association |
46.587 |
1 |
.000 |
N of Valid Cases |
495 |
||
a. 1 cells (12.5%) have expected count less than 5. The minimum expected count is 4.82. |
There is pretty standard rule regarding Pearson's chi square for a table larger than 2×2 . It is valid if each observations is independent of other . No more than 20% of expected counts are less than 5 all expected count are greater than 1 .here expected cell is 4.82 so Pearson's chi square works quite well .
Describe explain what the results mean Chi-Square Tests Value df Asymptotic Significance (2-sided) Pearson Chi-Square 65.638a...
. CHI-SQUARE. Did males and females differ in terms of who they voted for in the 1992 Presidential Election (Clinton vs. Bush vs. Perot)? Respondent's Sex * VOTE FOR CLINTON, BUSH, PEROT Crosstabulation VOTE FOR CLINTON, BUSH, PEROT Total CLINTON BUSH PEROT Respondent's Sex Male Count 162 171 103 436 Expected Count 187.2 166.9 81.9 436.0 Female Count 270 214 86 570 Expected Count 244.8 218.1 107.1 570.0 Total Count 432 385 189 1006 Expected Count 432.0 385.0 189.0 1006.0...
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please help answer questions 1-13. age *condes Crosstabulation condes Not Condescending Condescending Total age Young Count 21 9 30 Expected Count 20.7 9.3 30.0 % within age 70.0% 30.0% 100.0% Middle-Aged Count 25 5 30 Expected Count 20.7 9.3 30.0 % within age 83.3% 16.7% 100.0% Elderly Count 16 14 30 Expected Count 20.7 9.3 30.0 % within age 53.3% 46.7% 100.0% Total Count 62 28 90 Expected Count 62.0 28.0 90.0 % within age 68.9% 31.1% 100.0% Chi-Square Tests...
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