State the null and alternative hypothesis for this test. Ho: p =v Determine if this test is left-tailed, right-tailed, or two-tailed. O left-tailed O two-tailed O right-tailed Should the standard normal (z) distribution or Student's (t) distribution be used for this test? O The Student's t distribution should be used The standard normal (z) distribution should be used Determine the critical value(s) for this hypothesis test. Round the solution(s) to two decimal places. If more than one critical value exists, enter the solutions using a comma-separated list. Determine the test statistic. Round the solution to two decimal places.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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#28). Same question on both pictures. Work on the blank ones.
Hospital emergency rooms (ERS) have a bad reputation for long wait times. To improve their image, many
hospitals have worked hard to reduce their ER wait times and frequently advertise their improved, low ER
wait times.
St. Lucie Medical Center recently advertised a 27 minute or less wait time at their ER. An accreditation
agency is suspicious of this low advertised wait time and would like to test the hospital's claim.
A random sample of 137 ER visits to St. Lucie Medical Center was examined and the mean wait time of the
sample was found to be 27.68 minutes.
Using a significance level of 1%, can the accreditation agency conclude that the hospital's claim about ER
wait times is false? Assume that the standard deviation of the wait times of all ER visits at St. Lucie Medical
Center is known to be 3.14 minutes. Use the critical value method.
State the null and alternative hypothesis for this test.
H p v
Determine if this test is left-tailed, right-tailed, or two-tailed.
O left-tailed
O two-tailed
O right-tailed
Should the standard normal (z) distribution or Student's (t) distribution be used for this test?
OThe Student's t distribution should be used
O The standard normal (z) distribution should be used
Determine the critical value(s) for this hypothesis test. Round the solution(s) to two decimal places. If
more than one critical value exists, enter the solutions using a comma-separated list.
Determine the test statistic. Round the solution to two decimal places.
Transcribed Image Text:Hospital emergency rooms (ERS) have a bad reputation for long wait times. To improve their image, many hospitals have worked hard to reduce their ER wait times and frequently advertise their improved, low ER wait times. St. Lucie Medical Center recently advertised a 27 minute or less wait time at their ER. An accreditation agency is suspicious of this low advertised wait time and would like to test the hospital's claim. A random sample of 137 ER visits to St. Lucie Medical Center was examined and the mean wait time of the sample was found to be 27.68 minutes. Using a significance level of 1%, can the accreditation agency conclude that the hospital's claim about ER wait times is false? Assume that the standard deviation of the wait times of all ER visits at St. Lucie Medical Center is known to be 3.14 minutes. Use the critical value method. State the null and alternative hypothesis for this test. H p v Determine if this test is left-tailed, right-tailed, or two-tailed. O left-tailed O two-tailed O right-tailed Should the standard normal (z) distribution or Student's (t) distribution be used for this test? OThe Student's t distribution should be used O The standard normal (z) distribution should be used Determine the critical value(s) for this hypothesis test. Round the solution(s) to two decimal places. If more than one critical value exists, enter the solutions using a comma-separated list. Determine the test statistic. Round the solution to two decimal places.
Ho: µ = v
H1:u# v
Determine if this test is left-tailed, right-tailed, or two-tailed.
O left-tailed
two-tailed
Oright-tailed
Should the standard normal (z) distribution or Student's (t) distribution be used for this test?
O The Student's t distribution should be used
O The standard normal (z) distribution should be used
Determine the critical value(s) for this hypothesis test. Round the solution(s) to two decimal places. If
more than one critical value exists, enter the solutions using a comma-separated list.
Determine the test statistic. Round the solution to two decimal places.
Determine the appropriate conclusion for this hypothesis test.
O The sample data do not provide sufficient evidence to reject the null hypothesis that the mean ER
wait time at is 27 less minutes and thus we conclude that the hospital's claim that the mean ER wait
time is 27 or less minutes is likely true.
O The sample data provide sufficient evidence to reject the alternative hypothesis that the mean ER
wait time at is greater than 27 minutes and thus we conclude that the hospital's claim that the mean
ER wait time is 27 minutes or less is likely true.
O The sample data provide sufficient evidence to reject the null hypothesis that the mean ER wait
time at is 27 less minutes and thus we conclude that the hospital's claim that the mean ER wait time
is 27 or less minutes is likely false.
O The sample data do not provide sufficient evidence to reject the alternative hypothesis that the
mean ER wait time at is greater than 27 minutes and thus we conclude that the hospital's claim that
the mean ER wait time is 27 minutes or less is likely false.
Transcribed Image Text:Ho: µ = v H1:u# v Determine if this test is left-tailed, right-tailed, or two-tailed. O left-tailed two-tailed Oright-tailed Should the standard normal (z) distribution or Student's (t) distribution be used for this test? O The Student's t distribution should be used O The standard normal (z) distribution should be used Determine the critical value(s) for this hypothesis test. Round the solution(s) to two decimal places. If more than one critical value exists, enter the solutions using a comma-separated list. Determine the test statistic. Round the solution to two decimal places. Determine the appropriate conclusion for this hypothesis test. O The sample data do not provide sufficient evidence to reject the null hypothesis that the mean ER wait time at is 27 less minutes and thus we conclude that the hospital's claim that the mean ER wait time is 27 or less minutes is likely true. O The sample data provide sufficient evidence to reject the alternative hypothesis that the mean ER wait time at is greater than 27 minutes and thus we conclude that the hospital's claim that the mean ER wait time is 27 minutes or less is likely true. O The sample data provide sufficient evidence to reject the null hypothesis that the mean ER wait time at is 27 less minutes and thus we conclude that the hospital's claim that the mean ER wait time is 27 or less minutes is likely false. O The sample data do not provide sufficient evidence to reject the alternative hypothesis that the mean ER wait time at is greater than 27 minutes and thus we conclude that the hospital's claim that the mean ER wait time is 27 minutes or less is likely false.
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