A few years ago, noon bicycle traffic past a busy section of campus had a mean of $\mu$ = 300. To see if any change in traffic has occurred, a count was taken for a sample of 19 weekdays. The sample had a mean of 340 and standard deviation of 30. Using RStudio, conduct a $\alpha$ = .05 test of H0:$\mu$ = 300, against the alternative that some change has occurred. Should we reject the null hypothesis? Based on the results of your t-test, justify your conclusion. Using RStudio, obtain a 95% confidence interval for $\mu$.

A few years ago, noon bicycle traffic past a busy section of campus had a mean of $\mu$ = 300. To see if any change in traffic has occurred, a count was taken for a sample of 19 weekdays. The sample had a mean of 340 and standard deviation of 30. Using RStudio, conduct a $\alpha$ = .05 test of H0:$\mu$ = 300, against the alternative that some change has occurred. Should we reject the null hypothesis? Based on the results of your t-test, justify your conclusion. Using RStudio, obtain a 95% confidence interval for $\mu$.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 2AGP

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Question

Using RStudio, conduct a $\alpha$ = .05 test of H0:$\mu$ = 300, against the alternative that some change has occurred. Should we reject the null hypothesis? Based on the results of your t-test, justify your conclusion.

Using RStudio, obtain a 95% confidence interval for $\mu$.

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