Chi-Square Tests Value df Asymptotic Significance (2-sided) Exact Sig. (2-sided)
ID: 2909169 • Letter: C
Question
Chi-Square Tests
Value
df
Asymptotic Significance (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square
.220a
1
0.639
Continuity Correctionb
0.051
1
0.821
Likelihood Ratio
0.224
1
0.636
Fisher's Exact Test
0.809
0.416
Linear-by-Linear Association
0.219
1
0.640
N of Valid Cases
145
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 7.97.
b. Computed only for a 2x2 table
Symmetric Measures
Value
Approximate Significance
Nominal by Nominal
Phi
-0.096
0.250
Cramer's V
0.096
0.250
N of Valid Cases
145
SPSS- comparing relationship , significance actually between adderall users: those who do have rx and those who do not have rx - users who have had neg impact on romance and those who did not- please explain which test reveals the data needed to make the determination of a signif? Does having an rx influence if a user has romance issues? thanks
Chi-Square Tests
Value
df
Asymptotic Significance (2-sided)
Exact Sig. (2-sided)
Exact Sig. (1-sided)
Pearson Chi-Square
.220a
1
0.639
Continuity Correctionb
0.051
1
0.821
Likelihood Ratio
0.224
1
0.636
Fisher's Exact Test
0.809
0.416
Linear-by-Linear Association
0.219
1
0.640
N of Valid Cases
145
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 7.97.
b. Computed only for a 2x2 table
Symmetric Measures
Value
Approximate Significance
Nominal by Nominal
Phi
-0.096
0.250
Cramer's V
0.096
0.250
N of Valid Cases
145
Explanation / Answer
There is no background information given about the question. However , note that we can check the signficance of a 2 tail or a 1 tail test .
We set the level of signficance and compare it with the p values , if the
p value < alpha (signficance level) then we reject the null hypothesis
p value > alpha (signficance level) then we fail to reject the null hypothesis
Now we check the exact sig 2 sided p value which is 0.809 , which is greater than 0.05 hence we fail to reject the null hypothesis
Now we check the exact sig 1 sided p value which is 0.416 , which is greater than 0.05 hence we fail to reject the null hypothesis
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