a) Which type of confidence interval / distribution would you use in this scenario? Jus- tify. What assumptions are required to get a valid confidence interval for the mean fat content in hotdogs? Assess whether or not the data meet these conditions. Be specific and comment on all the relevant features in your assessment using the above information. b) Calculate a 95% confidence interval for the mean fat content in hotdogs (even if the conditions in a) are not met). Show your work your final answer should be displayed as a lower and upper bound and then circled. c) The hot dog vendor claims that his hotdogs are healthy as the mean fat content does not exceed 10%. Do you believe him? Answer with statistical justifications.

a) Which type of confidence interval / distribution would you use in this scenario? Jus- tify. What assumptions are required to get a valid confidence interval for the mean fat content in hotdogs? Assess whether or not the data meet these conditions. Be specific and comment on all the relevant features in your assessment using the above information. b) Calculate a 95% confidence interval for the mean fat content in hotdogs (even if the conditions in a) are not met). Show your work your final answer should be displayed as a lower and upper bound and then circled. c) The hot dog vendor claims that his hotdogs are healthy as the mean fat content does not exceed 10%. Do you believe him? Answer with statistical justifications.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

If n = 340 and ˆpp^ (p-hat) = 0.6, construct a 95% confidence interval. According to the Oxnard College Student Success Committee report in the previous year, we believe that 21% of students struggle in their classes because they don't spend more than 8 hours studying independently outside of a 4-unit class. For this year, you would like to obtain a new sample to estimate the proportiton of all Oxnard students who struggle in their classes because they don't study enough outside of the classrooms. You would like to be 99% confident that your estimate is within 5% of the true population proportion. How large of a sample size is required? Do not round mid-calculation.
A 90 percent confidence interval is to be created to estimate the proportion of television viewers in a certain areawho favor moving the broadcast of the late weeknight news to an hour earlier than it is currently. Initially, theconfidence interval will be created using a simple random sample of 9,000 viewers in the area. Assuming that thesample proportion does not change, what would be the relationship between the width of the original confidenceinterval and the width of a second 90 percent confidence interval that is created based on a sample of only 1,000viewers in the area?(A) The second confidence interval would be 9 times as wide as the original confidence interval.(B) The second confidence interval would be 3 times as wide as the original confidence interval.(C) The width of the second confidence interval would be equal to the width of the original confidence interval.(D) The second confidence interval would be 1/3 as wide as the original confidence interval.(E) The second…
A food snack manufacturer samples 11 bags of pretzels off the assembly line and weighs their contents. If the sample mean is 15.7 oz. and the sample standard deviation is 0.70 oz., find the 95% confidence interval of the true mean. Select one: 11.6<μ<17.8 15.2<μ<16.2 13.2<μ<16.2 15.5<μ<15.9
Independent students show that the average length of education of 70 r/s California adults is 12.7 years with standard deviation 5.33 years, while the figures of 36 r/s Hawaii adults are 14.2 and 3.15 . Construct a 98% confidence interval for the difference between the overall average length of educations of California adults and that of Hawaii adults.
The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes and are participating in a study of risk factors for obesity. Body mass index is measured as the ratio of weight in kilograms to height in meters squared. Generate a 95% confidence interval estimate of the true BMI. 25 27 31 33 26 28 38 41 24 32 35 40