Suppose that the proportion of citizens in a local community who use bus transportation was reported to be 10.2%. Assume that this report was based on a random sample of four hundred citizens. (a) The local mayor wants to know if the sample results can be used to conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. Develop a hypothesis test that can be used to see if the conclusion that the proportion of bus riders in the local community is higher than the national average can be supported. Ho: p2 0.079 H:p< 0.079 Ho: p< 0.079 H:p2 0.079 Ho: pS 0.079 H:p > 0.079 Ho: p> 0.079 H:ps 0.079 O Ho: P = 0.079 H:p 0.079 (b) Use the sample data collected for the local community to compute the p-value for the hypothesis test in part (a). Using a = 0.05, what is your conclusion? Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. O Do not reject Ho. We can conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. O Reject H. We can conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. ODo not reject Ho: We can not conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. Reject Ho. We can not conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. (c) Explain to the mayor what can be said about the observed level of significance for the hypothesis testing results using the p-value. The observed level of significance is -Select-- a, therefore the results-Select-o statistically significant. At the given a we -Select- o reject the null hypotheses and conclude that sufficient evidence --Select- O to support the conclusion that the proportion of bus riders in the local community was higher than the national average.
Suppose that the proportion of citizens in a local community who use bus transportation was reported to be 10.2%. Assume that this report was based on a random sample of four hundred citizens. (a) The local mayor wants to know if the sample results can be used to conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. Develop a hypothesis test that can be used to see if the conclusion that the proportion of bus riders in the local community is higher than the national average can be supported. Ho: p2 0.079 H:p< 0.079 Ho: p< 0.079 H:p2 0.079 Ho: pS 0.079 H:p > 0.079 Ho: p> 0.079 H:ps 0.079 O Ho: P = 0.079 H:p 0.079 (b) Use the sample data collected for the local community to compute the p-value for the hypothesis test in part (a). Using a = 0.05, what is your conclusion? Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. O Do not reject Ho. We can conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. O Reject H. We can conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. ODo not reject Ho: We can not conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. Reject Ho. We can not conclude that the proportion of bus riders in the local community is significantly higher than the national average of 7.9%. (c) Explain to the mayor what can be said about the observed level of significance for the hypothesis testing results using the p-value. The observed level of significance is -Select-- a, therefore the results-Select-o statistically significant. At the given a we -Select- o reject the null hypotheses and conclude that sufficient evidence --Select- O to support the conclusion that the proportion of bus riders in the local community was higher than the national average.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:You may need to use the appropriate appendix table or technology to answer this question.
Suppose that the proportion of citizens in a local community who use bus transportation was reported to be 10.2%. Assume that
this report was based on a random sample of four hundred citizens.
(a) The local mayor wants to know if the sample results can be used to conclude that the proportion of bus riders in the local
community is significantly higher than the national average of 7.9%. Develop a hypothesis test that can be used to see if
the conclusion that the proportion of bus riders in the local community is higher than the national average can be supported.
Ho: p2 0.079
H:p< 0.079
Ho: p< 0.079
H:p2 0.079
Ho: Ps 0.079
H:p > 0.079
Ho:p > 0.079
H:ps 0.079
O Ho: P = 0.079
H:p+ 0.079
(b) Use the sample data collected for the local community to compute the p-value for the hypothesis test in part (a). Using
a = 0.05, what is your conclusion?
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
State your conclusion.
O Do not reject Ho. We can conclude that the proportion of bus riders in the local community is significantly higher than
the national average of 7.9%.
O Reject Ho. We can conclude that the proportion of bus riders in the local community is significantly higher than the
national average of 7.9%.
O Do not reject H. We can not conclude that the proportion of bus riders in the local community is significantly higher
than the national average of 7.9%.
O Reject Ho. We can not conclude that the proportion of bus riders in the local community is significantly higher than the
national average of 7.9%.
(c) Explain to the mayor what can be said about the observed level of significance for the hypothesis testing results using the
p-value.
The observed level of significance is -Select- o a, therefore the results -Select- o statistically significant. At the
given a we -Select- o reject the null hypotheses and conclude that sufficient evidence -Select---
o to support the
conclusion that the proportion of bus riders in the local community was higher than the national average.
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