Nationally, patients who go to the emergency room wait an average of 4 hours to be admitted into thehospital. Do patients at rural hospitals have a lower waiting time? The 13 randomly selected patients whowent to the emergency room at rural hospitals waited an average of 3.2 hours to be admitted into thehospital. The standard deviation for these 13 patients was 2.9 hours. What can be concluded at the the a =0.10 level of significance level of significance?a. For this study, we should use Select an answerb. The null and alternative hypotheses would be:Select an answer VSelect an answerc. The test statistic ? v(please show your answer to 3 decimal places.)d. The p-value =(Please showyour answer to 4 decimal places.)e. The p-value is 7 vf. Based on this, we should Select an answer v the null hypothesis.g. Thus, the final conclusion is that ...O The data suggest that the population mean awaiting time to be admitted into the hospitalfrom the emergency room for patients at rural hospitals is not significantly lower than 4 hoursat a = 0.10, so there is statistically insignificant evidence to conclude that the populationmean waiting time to be admitted into the hospital from the emergency room for patients atrural hospitals is lower than 4 hours.O The data suggest the population mean is not significantly lower than 4 at a = 0.10, so there isstatistically insignificant evidence to conclude that the population mean waiting time to beadmitted into the hospital from the emergency room for patients at rural hospitals is equal to4 hours.O The data suggest the populaton mean is significantly lower than 4 at a = 0.10, so there isstatistically significant evidence to conclude that the population mean waiting time to beadmitted into the hospital from the emergency room for patients at rural hospitals is lowerthan 4 hours.

As per Bartleby guideline expert have to answer first question three subparts only dear student…

Answered: hospital. Do patients at rural…

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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Kenneth, a competitor in cup stacking, claims that his average stacking time is 8.2 seconds. During a practice session, Kenneth has a sample stacking time mean of 7.8 seconds based on 11 trials. At the 4% significance level, does the data provide sufficient evidence to conclude that Kenneth's mean stacking time is less than 8.2 seconds? Accept or reject the hypothesis given the sample data below. H0:μ=8.2 seconds; Ha:μ<8.2 seconds α=0.04 (significance level) z0=−1.75 p=0.0401 Select the correct answer below: a. Do not reject the null hypothesis because the p-value 0.0401 is greater than the significance level α=0.04. b. Reject the null hypothesis because the p-value 0.0401 is greater than the significance level α=0.04. c. Reject the null hypothesis because the value of z is negative. d. Reject the null hypothesis because |−1.75|>0.04. e. Do not reject the null hypothesis because |−1.75|>0.04.
The coach of a very popular men’s basketball team claims that the average distance the fans travel to the campus to watch a game is 35 miles. The team members feel otherwise. A sample of 16 fans who travel to games was randomly selected and yielded a mean of M= 36 miles and s= 5 miles. Test the coach’s claim at the 5% (.05) level of significance. one-tailed or two-tailed test: State the hypotheses: df= tα or t value for the critical region = sM = t (test statistic)= Decision:
A random sample of 873 births included 434 boys. Use a 0.10 significance level to test the claim that 50.7% of newborn babies are boys. Do the results support the belief that 50.7% of newborn babies are boys? Identify the null and alternative hypotheses for this test. Choose the correct answer below. OA. H₂: p=0.507 H₁: p=0.507 OB. Ho: p=0.507 H₁: p0.507 OD. Ho: p*0.507 H₁: p=0.507 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test. OA. Fail to reject Ho. There is sufficient evidence to warrant rejection of the claim that 50.7% of newborn babies are boys. OB. Reject Ho. There is sufficient evidence to warrant rejection of the claim that 50.7% of newborn babies are boys. OC. Fail to reject Ho. There is not sufficient…
An experiment was run to compare three groups. The sample sizes were 28, 33, and 102, and the corresponding estimated standard deviations were 2.7, 2.6 and 4.8. 1) What is the value of the pooled standard deviation? 2) Explain why the answer for part 1 is much closer to the standard deviation of the third group than to either of the other two standard deviations.
The school nurse thinks the average height of 10th graders have increased. The average height of a 10th grader five years ago was 145 cm with a standard deviation of 20 cm. She takes a random sample of 200 students and finds that the average height of her sample is 147 cm. Are 10th graders now taller than they were before? Conduct a hypothesis test using a .05 significance level.
Nationally, patients who go to the emergency room wait an average of 4 hours to be admitted into the hospital. Do patients at rural hospitals have a lower waiting time? The 13 randomly selected patients who went to the emergency room at rural hospitals waited an average of 2.1 hours to be admitted into the hospital. The standard deviation for these 13 patients was 2.3 hours. What can be concluded at the the a = 0.01 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? C Select an answer H₁: ? ☺ Select an answer C O (please show your answer to 3 decimal places.) c. The test statistic ? = d. The p-value = e. The p-value is ? a f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... (Please show your answer to 4 decimal places.) The data suggest the populaton mean is significantly lower than 4 at a = 0.01, so there is statistically…
Nationally, patients who go to the emergency room wait an average of 7 hours to be admitted into the hospital. Do patients at rural hospitals have a different waiting time? The 12 randomly selected patients who went to the emergency room at rural hospitals waited an average of 5.8 hours to be admitted into the hospital. The standard deviation for these 12 patients was 1.8 hours. What can be concluded at the a = 0.10 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? Select an answer ✓ H₁: ?v Select an answer ✓ c. The test statistic ? ✓ (please show your answer to 3 decimal places.) (Please show your answer to 4 decimal places.) d. The p-value = e. The p-value is ? a f. Based on this, we should Select an answer the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest that the population mean awaiting time to be admitted into the hospital from the emergency room for…
A random sample of 818 births included 435 boys. Use a 0.05 significance level to test the claim that 50.6% of newborn babies are boys. Do the results support the belief that 50.6% of newborn babies are boys? Identify the null and alternative hypotheses for this test. Choose the correct answer below. A. H0: p=0.506 H1: p>0.506 B. H0: p≠0.506 H1: p=0.506 C. H0: p=0.506 H1: p≠0.506 D. H0: p=0.506 H1: p<0.506 Identify the test statistic for this hypothesis test. The test statistic for this hypothesis test is: (Round to two decimal places as needed.) Identify the P-value for this hypothesis test. The P-value for this hypothesis test is : (Round to three decimal places as needed.) Identify the conclusion for this hypothesis test. A. Fail to reject H0. There is not sufficient evidence to warrant rejection of the claim that 50.6% of newborn babies are boys. B.Fail to reject H0. There is sufficient evidence to…
50 smokers were questioned about the number of hours they sleep each day. We want to test the hypothesis that the smokers need less sleep than the general public which needs an average of 7.7 hours of sleep. We follow the steps below. Compute a rejection region for a significance level of .05. A. If the sample mean is 7.5 and the standard deviation is .5, what can you conclude?
In the past, the mean running time for a certain type of flashlight battery has been 8.5 hours. The manufacturer has introduced a change in the production method and wants to perform a hypothesis test to determine whether the mean running time has changed as a result. A. Lower-tailed B. Upper-tailed C. Two-sided O A B O C
Nationally, patients who go to the emergency room wait an average of 5 hours to be admitted into the hospital. Do patients at rural hospitals have a different waiting time? The 12 randomly selected patients who went to the emergency room at rural hospitals waited an average of 3.9 hours to be admitted into the hospital. The standard deviation for these 12 patients was 2.2 hours. What can be concluded at the the a = 0.10 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho:2 Select an answer H: Select an answer C. The test statistic ? v (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimnal places.) e. The p-value is ? Based on this, we should Select an answer the null hypothesis. 2. Thus, the final conclusion is that The data suggest the population mean is not significantly different from 5 at a = 0.10, so there is statistically insignificant…
Suppose a recent study of Trucks and SUVs gave an average fuel efficiency of 19.2 mpg for Trucks and 21.4 mpg for SUVs. The sample standard deviation for Trucks was 3.2 mpg and 2.8 mpg for SUVs. These results were based on samples of 35 Trucks and 39 SUVs. At the 1% significance level, can we conclude that, on average, SUVs have better fuel efficiency than Trucks? Clearly state the null and alternative hypotheses, use the critical value approach (draw a detailed picture), and write out a detailed conclusion. Organize: Hypotheses: Detailed picture: Detailed conclusion:

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