Students at Hunter College studied bicycle safety in New York City (Tuckel & Mil
ID: 3052552 • Letter: S
Question
Students at Hunter College studied bicycle safety in New York City (Tuckel & Milczarski, 2014). They reported data on cyclists who were riding their own bikes and were not cycling as part of their job (they were not, for example, riding as delivery workers). They reported that 28.4% of male cyclists stopped completely at a red light, whereas 38.3% of female cyclists did so. 30.9% of male cyclists and 35.4% of female cyclists paused but then rolled through the red light. And 40.7% of male cyclists and 26.3% of female cyclists just ran the light.
Question
Answer
What hypothesis test would the researchers conduct?
Explain your answer.
Question
Answer
What hypothesis test would the researchers conduct?
Explain your answer.
Explanation / Answer
In this example the hypothesis one can study is as follows:
H0: Attitude of Observing the Red light signal rule is same in both male and female.
Vs
H1: There are gender wise differences in the attitude of observing the Red light signal rule.
We can apply Chi square test for testing this null hypothesis.
Stopped Completely
Paused but rolled through
Ran the light
Male
28.4
30.9
40.7
Female
38.3
35.4
26.3
Chi-Square Value = (O-E)2/E ~ Chi-square (r-1)(c-1)
= 4.869771
Chi-square Table at 5% LOS at 2 degrees of freedom = 5.991465
Since Chi-square calculated < Chi-square Table it implies that Null hypothesis is accepted. It means that there are NO gender wise difference in attitude of observing Red light signal rules.
Stopped Completely
Paused but rolled through
Ran the light
Male
28.4
30.9
40.7
Female
38.3
35.4
26.3