The histogram below shows the distribution of the annual hours of commuting delay per traveler for 46 small and medium urban are
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Answer : The p-value of 0.0743 is greater than alpha at 0.05; so we fail to reject the null hypothesis and conclude that there is no significant difference in the number of unique users before and after a change in policy.
In this question, the manager wants to know if the number of users has changed.
So, the null and alternate hypotheses are:
Null Hypothesis:
Alternate Hypothesis :
Type of test : Two-tailed test
The level of significance is 95%
We can calculate alpha (α) as follows:
The p value = 0.0743.
We use the following rules to arrive at a conclusion when p-values and alpha is given:
If , reject the null hypothesis
If , we don't reject the null hypothesis.
Since the p-value is greater than alpha, we don't reject the null hypothesis.