The document presents the results of a chi-square test of independence performed on survey data from 20 drivers classified by their gender (male or female) and opinion on aggressive driving behavior (yes or no). The null hypothesis is that there is no association between gender and driving opinion. The chi-square test results show a value of 0.002 and an asymptotic significance of 0.964, failing to reject the null hypothesis. Therefore, the analysis found no significant association between males' and females' opinions on driving.

1. Abid Hussain
M14BBA036

2. Chi Square Independent
Problem Statement
In a survey a random sample of 20
Drivers. Respondents are classified
by gender (male or female) and
opinion on Aggressive Driving (Yes)
and Non Aggressive Driving (No)
Behavior.

3. Hypothesis
Null Hypothesis
There is no association between the two variables.
Alternative Hypothesis
There is an association between the two variables.
Is there opinion difference in Gender? Is males’
opinion on driving differs significantly from the females'
opinion?

4. Output View
Case Processing Summary
Cases
Valid Missing Total
N Percent N Percent N Percent
Respondent's Gender? *
Respondent's Driving? 20 100.0% 0 .0% 20 100.0%

5. Output View
Respondent's Gender? * Respondent's Driving? Cross tabulation
Count
Respondent's Driving?
Total
Yes,
Aggressive
Not
Aggressive
Respondent's Gender? Male 6 5 11
Female 5 4 9
Total 11 9 20

6. Output View
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square
.002a 1 .964
Continuity Correctionb
.000 1 1.000
Likelihood Ratio
.002 1 .964
Fisher's Exact Test
1.000 .658
Linear-by-Linear
Association .002 1 .965
N of Valid Casesb
20
a. 3 cells (75.0%) have expected count less than 5. The minimum expected count is 4.05.
b. Computed only for a 2x2 table