Question 10 of 30>-/ 1View PoliciesCurrent Attempt in ProgressAn article published in the Canadian Journal of Zoology presented a method for estimating the body fat percentage of North Americanporcupines; the method was illustrated with a sample of n = 25 porcupines. Based on this sample, a 95% bootstrap confidence intervalfor the average body fat percentage of porcupines is 17.4% to 25.8%. Which of the following null hypotheses would be rejected basedon this confidence interval?cccccccΟ Η: μ = 18.2%Ο H: μ = 20.8%O Ho: µ = 25.2%O Ho: µ = 29.7%eTextbook and MediaSave for LaterAttempts: 0 of 2 usedSubmit AnswerМacВook AirF4esc@23$&1347QWERTYSCVN

Basics: The null hypothesis will be rejected, when the hypothesized value is not in the confidence…

Answered: Question 10 of 30 > -/1 View Policies…

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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Question 2: The GPAs of nursing students (p1) were compared to GPAs of student-athletes (p2) were compared. Of a sample of 400 randomly and independently selected nursing students, 75% were placed on honor roll. Of a sample of 100 athletes, 80% of the students were placed on honor roll. Calculated the LOWER bound of the 95% confidence interval for the two samples. Round to the nearest hundredth.
question 17 A smart phone manufacturer is interested in constructing a 95% confidence interval for the proportion of smart phones that break before the warranty expires. 81 of the 1662 randomly selected smart phones broke before the warranty expired. Round answers to 4 decimal places where possible. a. With 95% confidence the proportion of all smart phones that break before the warranty expires is between____ and _____. b. If many groups of 1662 randomly selected smart phones are selected, then a different confidence interval would be produced for each group. About _____ percent of these confidence intervals will contain the true population proportion of all smart phones that break before the warranty expires and about ____ percent will not contain the true population proportion. please solve blank
Question 4: A survey was administrated to determine the proportion of workers who reject relocation offers to be an administrator for family considerations. In the survey 423 people out of 672 rejected relocation offers due to family considerations. Use this information to construct a 95% confidence interval for the proportion of the population that will reject relocation offers due to family considerations.
Question 1: The GPAs of nursing students (p1) were compared to GPAs of student-athletes (p2) were compared. Of a sample of 400 randomly and independently selected nursing students, 75% were placed on honor roll. Of a sample of 100 athletes, 80% of the students were placed on honor roll. Calculated the LOWER bound of the 95% confidence interval for the two samples. Round to the nearest hundredth. Question 2: The GPAs of nursing students (p1) were compared to GPAs of student-athletes (p2) were compared. Of a sample of 400 randomly and independently selected nursing students, 75% were placed on honor roll. Of a sample of 100 athletes, 80% of the students were placed on honor roll. Calculated the UPPER bound of the 95% confidence interval for the two samples. Round to the nearest hundredth. Question 3: Copy of The GPAs of nursing students (p1) were compared to GPAs of student-athletes (p2) were compared. Of a sample of 400 randomly and independently selected nursing…
Question 36 According to statistics reported on CNBC, a surprising number of moter vehicles are not covered by insurance. Sample reults, consistent with the CNBC report, showed 46 of 200 vehicles were not covered by insurance. Part A What is the point estimate of the proportion of vehicles not covered by insruance? Part B Develop a 95% confidence interval for the population proportion.
Question 2 Grace Floral Shop claims that their average daily earnings is $497. An auditor wants to determine whether this claim is true. The auditor randomly selected a sample of 100 days and found that the sample mean earnings was $495 with a sample standard deviation of 9.75. a) Calculate the 97% confidence interval for the population mean daily earning. Assist the auditor in conducting a hypothesis test, at the 3% level of significance, to determine whether the claim about their average daily earnings was overstated. b) State the null and the alternative hypothesis for this test. c) Using the p-value approach, state the decision rule for this test. d) Calculate the value of the test statistic for this test. e) Calculate the p-value for this test? f) State the conclusion of this test. Give reason for your answer.
Question 2. Ms. Maria Wilson is considering running for mayor of Bear Gulch, Montana. Before completingthe petitions, she decides to conduct a survey of voters in Bear Gulch. A sample of 300 voters reveals that 200would support her in the November election. Develop a 90% confidence interval for the population proportion.
Question 2 - (Please answer both a and b) A recent survey showed that from a sample of 500 packages delivered by a Postal Service, 480 were delivered on time. a) Construct a 95% confidence interval for the proportion of all packages that are delivered on time by the Postal Service. b) The manager of the Postal Services claims that 98 percent of their mail are delivered on time. Test at the 1% significance level to determine whether the true proportion is less than 98 percent.
Question 5: The highway department wants to estimate the proportion of vehicles on the interstate 605 between the hours of midnight and 5 AM that are 18 - wheel trailers. The estimate will be used to determine highway repair and construction considerations. Suppose researchers for the highway department counted vehicles at different locations on the interstate for several nights during this time period. Of the 3481 vehicles counted, 1027 were 18 - wheelers. construct a 95% confidence interval for the proportion of vehicles traveling the interstate 605 during this time period that are 18 - wheelers.
QUESTION 1 A researcher hypothesizes that children will choose to eat cereals in colorful boxes over those in plain boxes. To test this hypothesis, the researcher records the number of bites that 24 children take of a food given to them from colorful boxes versus plain boxes. If the mean difference (colorful boxes – plain packaging) is MD = 13 and SMD = 1.64, then (a) calculate the 95% confidence interval for these related samples and (b) can we conclude that cereals packaged in colorful boxes significantly changes the number of bites that children took compared to plain packaging? Summarize your conclusion in a sentence.
Question 1 In 2002, the average duration of incoming telephone calls to a furniture store was 9.4 minutes. The manager wants to perform a test to determine whether this average duration of incoming calls has changed. Twenty calls to the store was randomly selected and the mean duration was 10.2 minutes with standard deviation 4.8 minutes. Using a 1% level of significance, test whether the mean duration of incoming calls to the store had changed. Construct the 95% confidence interval for the population mean duration of the incoming calls to the furniture store. Question 2 A recent survey showed that from a sample of 500 packages delivered by a Postal Service, 480 were delivered on time. Construct a 95% confidence interval for the proportion of all packages that are delivered on time by the Postal Service. The manager of the Postal Services claims that 98 percent of their mail are delivered on time. Test at the 1% significance level to determine whether the true proportion is less…
question #2 2. A recent survey showed that from a sample of 500 packages delivered by a Postal Service,480 were delivered on time. a) Construct a 95% confidence interval for the proportion of all packages that are delivered on time by the Postal Service. b) The manager of the Postal Services claims that 98 percent of their mail are delivered on time. Test at the 1% significance level to determine whether the true proportion is less than 98 percent.

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