A survey of 1064 Washington D.C. residents ages 15-30 found that 74% of those surveyed used public transportation at least one time per week. Of those, the mean commute time to ride in one direction was 23 minutes. In a random sampling distribution, the standard error was reported as 1.52 minutes. Find the 95% confidence interval for this random sampling distribution of mean commuting times for Washington, D.C. public transportation users. Show all work and interpret the interval.  3)The transportation authorities received funds to increase the number of busses and trains during peak commute times. Public leaders want to know if this initiative has decreased the mean commute time for D.C. public transportation users, so they compared commute times before and after the increase in busses and trains. State the null and alternative hypotheses according to the wording in this part of the question. C.If the p-value for this comparison was 0.015, state your general conclusion (reject the null or fail to reject the null).       D.Using p-value = 0.015, state your conclusion based on the context of the problem described in part b.   E.If a Type I error occurred in this test, what does that mean, in the context of this problem for the null and alternative hypotheses?

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  1. A survey of 1064 Washington D.C. residents ages 15-30 found that 74% of those surveyed used public transportation at least one time per week. Of those, the mean commute time to ride in one direction was 23 minutes. In a random sampling distribution, the standard error was reported as 1.52 minutes.

  2. Find the 95% confidence interval for this random sampling distribution of mean commuting times for Washington, D.C. public transportation users. Show all work and interpret the interval.

 3)The transportation authorities received funds to increase the number of busses and trains during peak commute times. Public leaders want to know if this initiative has decreased the mean commute time for D.C. public transportation users, so they compared commute times before and after the increase in busses and trains. State the null and alternative hypotheses according to the wording in this part of the question.

C.If the p-value for this comparison was 0.015, state your general conclusion (reject the null or fail to reject the null).

 

 

 

D.Using p-value = 0.015, state your conclusion based on the context of the problem described in part b.

 

E.If a Type I error occurred in this test, what does that mean, in the context of this problem for the null and alternative hypotheses?

 

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