Questions 9 to 10 refer to the following data.For a random sample of 12 offenders convicted of weapons violations, the length ofprison sentence in months was recorded as:66123648602424201815From the estimation of the population mean of the sentence in month with a 99%confidence interval, what is the upper limit? (Round off to two decimal places ifnecessary).

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For a random sample of 12 offenders convicted of weapons violations, the length of prison sentence in months was recorded as: 6 6 2 12 36 48 60 24 24 20 18 15 From the estimation of the population mean of the sentence in month with a 99% confidence interval, what is the upper limit? (Round off to two decimal places if necessary).

For a random sample of 12 offenders convicted of weapons violations, the length of prison sentence in months was recorded as: 6 6 2 12 36 48 60 24 24 20 18 15 From the estimation of the population mean of the sentence in month with a 99% confidence interval, what is the upper limit? (Round off to two decimal places if necessary).

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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Questions 9 to 10 refer to the following data. For a random sample of 12 offenders convicted of weapons violations, the length of prison sentence in months was recorded as: 662123648602424201815 From the estimation of the population mean of the sentence in month with a 99% confidence interval, what is the upper limit? (Round off to two decimal places if necessary).
QUESTION 8 The mean labour productivity (output per worker per hour, in Rand) of a random sample of 26 textile manufacturers that export their products to foreign markets is R180.40 (with a standard deviation of 51.7). Likewise, the mean labour productivity of an independent random sample of 21 textile manufacturers that do not export their production is 159.30 (with a standard deviation of 42.9). Suppose that labour productivity is normally distributed for both types of manufacturing firms. Using this information, the 90% confidence interval for the standard deviation of the labour productivity of non-exporting textile manufacturers is for the lower limit and for the upper limit. (Note: You must write your final answers to 3 decimal places. When writing your answers, use "." (e.g. 3.250) instead of "," (i.e. 3,250) with no spaces between digits).
Questions 6–10 refer to the sample data in the following table, which describes the fate of the passengers and crew aboard the Titanic when it sank on April 15, 1912. Assume that the data are a sample from a large population and we want to use a 0.05 significance level to test the claim that surviving is independent of whether the person is a man, woman, boy, or girl. Identify the null and alternative hypotheses corresponding to the stated claim.
QUESTION 17 The mean labour productivity (output per worker per hour, in Rand) of a random sample of 26 textile manufacturers that export their products to foreign markets is R180.40 (with a standard deviation of 51.7). Likewise, the mean labour productivity of an independent random sample of 21 textile manufacturers that do not export their production is 159.30 (with a standard deviation of 42.9). Suppose that labour productivity is normally distributed for both types of manufacturing firms. A trade analyst claims that the mean labour productivity of exporting textile manufacturers is greater than the mean labour productivity of non-exporting textile manufacturers. Using this information and assuming that the population variances are EQUAL, the pooled variance associated with this information is . Formulating an appropriate hypothesis, the value of the test statistic that must be used to test the formulated hypothesis, rounded to 3 decimal places is . Testing at the 5% level, the…
QUESTION 28 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
Questions 12 to 14 refer to the following problem setting:The high school athletic director is asked if football players are doing as well academically as the other studentathletes. We know from a previous study that the average GPA for the student athletes is 3.10. After an initiative tohelp improve the GPA of student athletes, the athletic director randomly samples 20 football players and finds thatthe average GPA of the sample is 3.18 with a sample standard deviation of 0.54.Question 12Assuming you are the Athletics Director. State the null and alternative hypothesis. Question 13Calculate the critical value and test statistic for this problem setting. Two decimals. Question 14Interpret the result you found in question 13 above.
QUESTION 10 For Problems #10 through #12, consider the following context. According to ongoing clinical research into feline health, the weight of an obese adult male Domestic Short Hair (DSH) cats is normally distributed with a population mean of 20 pounds and a population standard deviation estimated at 2 pounds. The office manager at Violet Veterinarians pulls a randomly selected chart for an obese adult male feline DSH. Item #10: What is the chance the randomly selected obese adult male DSH cat has a weight of more than 23 pounds? [COMMENTS & HINTS: Round to the nearest whole percentage and include the percent symbol.] 1 points QUESTION 11 For Problems #10 through #12, consider the following context. According to ongoing clinical research into feline health, the weight of an obese adult male Domestic Short Hair (DSH) cats is normally distributed with a population mean of 20 pounds and a population standard deviation estimated at 2 pounds. The office…
Question 14 Use a t-distribution to find a confidence interval for the difference in means μd=μ1-μ2 using the relevant sample results from paired data. Assume the results come from random samples from populations that are approximately normally distributed, and that differences are computed using d=x1-x2.A 99% confidence interval for μd using the paired data in the following table: Case 1 2 3 4 5 Treatment 1 22 29 32 26 29 Treatment 2 19 32 24 21 21 Give the best estimate for μd, the margin of error, and the confidence interval.Enter the exact answer for the best estimate, and round your answers for the margin of error and the confidence interval to two decimal places.best estimate = Enter your answer; best estimatemargin of error = Enter your answer; margin of errorThe 99% confidence interval is Enter your answer; The 99% confidence interval, value 1 to Enter your answer; The 99% confidence interval, value 2 .
Question 6) The standard deviation value of the products in factory A is 25 g. The weight average of 300 products randomly selected from this factory was found to be 450 gr. The standard deviation value of the products in factory B is 46 gr and the weight average of 500 randomly selected products from the factory is 530 gr. Find and interpret the 99% confidence limits of the difference between the average weight of products in two different factories.
Questions 2 through 5 are based on the following scenario. A random sample of 58 customers is taken and their yearly value to the company is calculated. The calculated average value from the sample is $93 and the standard deviation calculated from the sample is $12. Find a 99% confidence interval for the population mean average value. What are the degrees of freedom for the problem? 47 77 57 67 QUESTION 3 What is the correct row of the table to use for the problem? table D with degrees of freedom=99% table A with degrees of freedom=99% table D with degrees of freedom=58 table D with degrees of freedom=50 QUESTION 4 What is the value from the table to use in the problem 1.036 5.678 1.126 2.678 QUESTION 5 What is the confidence interval (78.78,107.22) (88.780,97.220) (98.78,87.22) (97.220,88.780) QUESTION 6 SELECT ALL THAT…
Question 1 In 1998, the average height of an adult male in South Africa was estimated to be 169 cm. Assume that this estimate is exact; assume also that the population standard deviation is 10 cm. What fraction of samples consisting of 50 adult males from South Africa (selected uniformly at random, and with replacement) will have average height greater than 200 cm?
Question 2 For each of the following tobs values, determine the highest level of significance associated with the decision taken. (iii) -2.660 16 Reject Ha for both onetailed and two-tailed test (iv) -1.586 60 Reject Ha for a one-tailed test