From a sample of 200 bread rolls from Ideal bakery, 95 of the were wheat. The manager of the bakery claims that 49% of their rolls are wheat. i. Test at the 1% significance level to determine whether the true proportion is less than 49%. ii. Create a 99% confidence interval for the proportion of all wheat bread rolls produced from Ideal bakery

From a sample of 200 bread rolls from Ideal bakery, 95 of the were wheat. The manager of the bakery claims that 49% of their rolls are wheat. i. Test at the 1% significance level to determine whether the true proportion is less than 49%. ii. Create a 99% confidence interval for the proportion of all wheat bread rolls produced from Ideal bakery

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

4. From an SRS of 600 U.S. adults, 116 live in a multigenerational household (multiple generation under one roof). Which of the following is the 95% confidence interval of the population proportion of U.S. adults that live in a multigenerational household in the hat p pm ME( hat p ) form
In a random sample of 800 men aged 25 to 35 years, 24% said they live with one or both parents. In another sample of 850 women of the same age group, 18% said that they live with one or both parents.A. Construct a 95% confidence interval for the difference between the proportions of all men and all women aged 25 to 35 years who live with one or both parents.B. Test at the 2% significance level whether the two population proportions are different.C. Repeat the test of part b using the p-value approach.
. The data given to the right includes data from 39 candies, and 5 of them are red. The company that makes the candy claims that 32% of its candies are red. Use the sample data Weights (g) of a Sample Bag of Candy Red Blue Brown Green Yellow 0.858 0.758 0.917 0.746 0.917 to construct a 90% confidence interval estimate of the 0.929 0.789 0.824 0.962 0.939 percentage of red candies. What do you conclude about the 0.892 0.734 0.712 0.968 0.716 claim of 32%? 0.972 0.843 0.858 0.934 0.843 0.948 0.957 0.919 0.971 0.741 Construct a 90% confidence interval estimate of the 0.868 0.943 0.945 0.762 population percentage of candies that are red. 0.936 0.706 0.898 0.811 0.705 0.772 0.899 %
A researcher surveyed college students in the United States on the typical amount of time each day that they spend interacting with different types of media (television, social media, Internet-connected devices, game consoles, etc.) The researcher found that the mean amount of time that college students spent watching television each day is 135 minutes with a 95% confidence interval of (105, 165). a. State the conclusion the researcher can make from this confidence interval. b. What is the margin of error for the confidence interval?
A local health centre noted that in a sample of 400 patients, 80 were referred to them by the local hospital. a. Provide a 95% confidence interval for all the patients who are referred to the health centre by the hospital. (5 marks) b. What sample size would be required to estimate the proportion of all hospital referrals to the health centre with a margin of error of 0.04 or less at 95% confidence
5.A random sample of 362 married couples found that 286 had two or more personality preferences in common. In another random sample of 550 married couples, it was found that only 30 had no preferences in common. Let p1 be the population proportion of all married couples who have two or more personality preferences in common. Let p2 be the population proportion of all married couples who have no personality preferences in common. Find a 90% confidence interval for p1 – p2. (Use 3 decimal places.) lower limit upper limit
A study of 420 comma 026 cell phone users found that 140 of them developed cancer of the brain or nervous system. Prior to this study of cell phone use, the rate of such cancer was found to be 0.0434 % for those not using cell phones. Complete parts (a) and (b). a. Use the sample data to construct a 90% confidence interval estimate of the percentage of cell phone users who develop cancer of the brain or nervous system. b. Do cell phone users appear to have a rate of cancer of the brain or nervous system that is different from the rate of such cancer among those not using cell phones? Why or why not?
The “Pro-Wealth” insurance wants to calculate the difference between the average amount of term life insurance purchased per family and the average amount of life time insurance purchased per family. To obtain this data, one of the company's actuaries randomly selects 25 families who have term life insurance only and 27 families who have life time insurance only. Each sample was taken from families where the head was less than 45 years old. Use the data obtained with a confidence level of: 96%, to estimate the difference in the mean between the two groups, assuming the amount of insurance is normally distributed. For term insurance (term): xT = $ 76,000 sT = $ 22,500 and nT = 25 , while for whole life insurance: xT = $ 46,000 sT = $ 15,600 and nT = 27.
Next Question In a survey of 825 human resource professionals concerning challenges they faced in the workplace, 323 said that employee retention/turno Complete parts (a) through (c) below. t challenge and 176 said that employee satisfaction was an important challenge. a. Construct a 95% confidence interval estimate of the population proportion of human resource professionals who believe that employee retention/turnover was an important challenge. The 95% confidence interval estimate for the population proportion is .3582
In a survey of 31 students at a local high school, 15 support changing the school's mascot. Find the 95% confidence interval for the true population proportion of students who support changing school's mascot.Choose the correct confidence interval and critical value used in the calculation. A. (0.254,0.714) (Zc=2.576) B. (0.304,0.664)(Zc=1.96) C. (0.304,0.664)(tc=2.0423) D. 0.334,0.634)(Zc=1.645) E. (0.274,0.694) (Zc=2.326)
IS An insurance company collects data on seat-belt use among drivers in a country. Of 1100 drivers 20-29 years old, 24% said that they buckle up, whereas 341 of 1200 drivers 45-64 years old said that they did. Find a 95% confidence interval for the difference between the proportions of seat-belt users for drivers in the age groups 20-29 years and 45-64 years. Construct a 95% confidence interval. The 95% confidence interval for p, -p, is from to . SC (Round to three decimal places as needed.)