A researcher wanted to test an association between gender (male, female) and Asthma Status (yes, no). Provide an Interpretation for the following output: Chi-Square Tests Value df Asymptotic Significance (2-sided) Pearson Chi-Square 17.521" 2 .000 Likelihood Ratio 17.584 2 Linear-by-Linear Association 17.180 1 N of Valid Cases 1750 .000 .000 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 64.37. Edit View Insert Format 12pt v Paragraph Tools Table BIU T² v

MATLAB: An Introduction with Applications
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A researcher wanted to test an association between gender (male, female) and Asthma
Status (yes, no). Provide an Interpretation for the following output:
Chi-Square Tests
Value
df
Asymptotic Significance (2-sided)
Pearson Chi-Square
17.521"
2
.000
Likelihood Ratio
17.584
2
Linear-by-Linear Association
17.180
1
N of Valid Cases
1750
.000
.000
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 64.37.
Edit View Insert Format
12pt v
Paragraph
Tools Table
BIU
T² v
Transcribed Image Text:A researcher wanted to test an association between gender (male, female) and Asthma Status (yes, no). Provide an Interpretation for the following output: Chi-Square Tests Value df Asymptotic Significance (2-sided) Pearson Chi-Square 17.521" 2 .000 Likelihood Ratio 17.584 2 Linear-by-Linear Association 17.180 1 N of Valid Cases 1750 .000 .000 a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 64.37. Edit View Insert Format 12pt v Paragraph Tools Table BIU T² v
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