A company claims that the mean weight of coffee in its 16-ounce bags is16.2 ounces. Consumer advocates group constructed the following 97%confidence interval (15.9, 16.3). Based on this interval, do you think that thecompany's claim is plausible at the 3% significance level?O 16.2 lies in the interval (15.9, 16.3), so we reject the company's claim.O 16.2 does not lie in the interval (15.9, 16.3), so we do not reject themanufacturer's claim.O Not enough information to answer the question.O 16.2 lies in the interval (15.9, 16.3), so we do not reject the company'sclaim.

given data claim : μ = 16.2 97% ci for μ is : (15.9,16.3) at 3% significance level, is the…

Answered: A company claims that the mean weight…

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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10. A chemist has developed a new synthetic fiber. To measure the fiber's strength, experiments are performed on ten strands of this fiber to determine the average number of pounds that can be supported by strands of this fiber before breaking. The following breaking-load results (in pounds) were obtained: 3.3 2.2 3.1 2.8 2.6 2.9 3.0 2.4 2.7 3.2 Construct a 95% confidence interval for the mean breaking strength of a strand of this new fiber.
Which of the following is not true when using the confidence interval method for testing a claim about u when a is unknown? Choose the correct answer below. OA. The P-value method, the traditional method, and the confidence interval method are equivalent and yield the same results. OB. For a one-tailed hypothesis test with a 0.05 significance level, one must construct a 90% confidence interval. OC. The P-value method and the classical method are not equivalent to the confidence interval method in that they may yield different results. OD. For a two-tailed hypothesis test with a 0.05 significance level, one must construct a 95% confidence interval.
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Find the 95% confidence interval for the percentage of leaky diapers in Example 4.4.4 assuming 400 diapers were tested and 20% were leaky. Note that it is 8 percentage points long.
A student was asked to find a 90% confidence interval for widget width using data from a random sample of size n = 27. Which of the following is a correct interpretation of the interval 14.3 < u < 21.7? The width of all widgets is between 14.3 and 21.7, 90% of the time. We know this is true because the mean of our sample is between 14.3 and 21.7. There is a 90% chance that the width of the widget is between 14.3 and 21.7. With 90% confidence, the mean width of all widgets is between 14.3 and 21.7. O With 90% confidence, the width of a randomly selected widget will be between 14.3 and 21.7. O There is a 90% chance that the mean of a sample of 27 widgets will be between 14.3 and 21.7.
An individual in the market for a new cell phone was interested in the proportion of the U.S. population that uses an iPhone. A random sample of 1,234 was obtained and an approximate 95% confidence interval for this situation was calculated to be (0.42, 0.48). Which of the following statements is the best interpretation of this confidence interval? O a. We are 90% confident that the interval (0.42, 0.48) captures the sample proportion of U.S. residents who use an iPhone. O b. There is a between a 42% and 48% chance that a randomly selected U.S. resident uses an iPhone. OC, 95% of the U.S. residents who use an iPhone falls in the interval (0.42, 0.48). Od. We are 95% confident that the interval (0.42, 0.48) captures the population proportion of U.S. residents who use an iPhone.
A study has been conducted of the airspeed of various bird species. You would like to specify the difference in airspeed. The following information is obtained. 1. What multiplier should I use for 95% confidence interval? 2. Can you construct a confidence interval for the difference? 3. Does that interval support the hypothesis that there is a difference in the airspeed of these two species?
A student was asked to find a 90% confidence interval for widget width using data from a random sample of size n = 20. Which of the following is a correct interpretation of the interval (11.5,21.6)? There is a 90% chance that the mean of a sample of 20 widgets will be between 11.5 and 21.6. The mean width of all widgets is between 11.5 and 21.6, 90% of the time. We know this is true because the mean of our sample is between 11.5 and 21.6. With 90% confidence, the mean width of a randomly selected widget will be between 11.5 and 21.6. We are 90% confident the mean width of all widgets is between 11.5 and 21.6. There is a 90% chance that the mean of the population is between 11.5 and 21.6.
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The following data give the speeds (in miles per hour) as measured by radar, of 4 cars traveling on Interstate I-81: 76 72 80 82 a) Give a point estimate for the mean speed of all cars traveling on this highway. b) What is the standard error of the sample mean? (i) Construct a 96 % confidence interval for the mean speed of all cars traveling on this highway. (ii) Do you need to make any assumptions? Please state them . (iii) Interpretation of your Confidence interval . d)Does the true population mean lie in the interval calculatedabove? (Just circle the correct answer) cannot tell Yes, No e)Answer the following for the 96% confidence interval, assuming all other values remain the same. Just circle the right answer. (i) How would the width of the confidence interval change if the confidence level increases to 99%? Would the width Increase decrease or remain the same? (ii) How would the width of the confidence interval change if the sample size n is decreased? Would the width Increase…
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.)

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