In a class students were asked to report their gender andwhether they had ever been in a car accident. Results are shown inthe following table:
| Ever had a car accident? |
|---|
| Gender | Yes | No |
|---|
| Male | 10 | 10 |
|---|
| Female | 5 | 24 |
|---|
We want to test if car accident and gender arerelated or not.
What is the expected frequency of male and car accident?[Answer to 2 decimal places.]
What is the expected frequency of male and no car accident?[Answer to 2 decimal places.]
What is the expected frequency of female and car accident?[Answer to 2 decimal places.]
What is the expected frequency of female and no car accident?[Answer to 2 decimal places.]
To test independence between gender and car accidents, what isthe value of chi-square test statistic? [Answer to3 decimal places.]
Suppose we are testing:
Null hypothesis: gender and car accidents arenot related,
against
Alternative hypothesis: gender and car accidentsare related.
If the p-value associated to the ch-square test-statistics is0.014 and the level of significance is 5%, what will be yourconclusion?
Not enough information to reach a decision
Do not reject null hypothesis
Reject null hypothesis
