One gallon of gas is put into each of 30 test cars. The resulting gas-mileage values of the sample are computed with mean of 28.5 gallons per mile, and standard deviation of 1.2 miles per gallon. What is the 95% confidence interval estimate of the mean mileage? O (28.46, 28.54) O (28.42, 28.58) O (28.1, 28.9) О 27.3, 29.7) О 27.36, 29.64)

One gallon of gas is put into each of 30 test cars. The resulting gas-mileage values of the sample are computed with mean of 28.5 gallons per mile, and standard deviation of 1.2 miles per gallon. What is the 95% confidence interval estimate of the mean mileage? O (28.46, 28.54) O (28.42, 28.58) O (28.1, 28.9) О 27.3, 29.7) О 27.36, 29.64)

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Samples of two different models of cars were selected, and the actual speed for each car was determined when the speedometer registered 50 mph. The resulting 95% confidence intervals for true mean actual speed were (51.2, 52.6) and (49.2, 50.4). Assuming that the two sample standard deviations are equal, which confidence interval is based on the larger sample size? O (51.2, 52.6) O (49.2, 50.4) Explain your reasoning. O As the sample size increases, the width of the interval increases. O As the sample size increases, the width of the interval decreases.
A random sample of n measurements was selected from a population with unknown mean p and known standard deviation o. Find the margin of error (often denoted as E or EBM) for a 95% confidence interval for u for the given situation. Round to the nearest hundredth when necessary. n = 104, x = 174, o = 11
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53.305) B. (24.591, 35.563) C. (26.591, 37.563) D. (28.591, 39.563) 34. A simple random sample of size n = 36 is taken from a normally distributed original population. The sample standard deviation iss = 7. Find the 99% confidence interval for the population variance o2. A. (27.453, 98.756) B. (28.453, 99.756) C. (29.453, 100.756) D. (30.453, 101.756)
Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A simple random sample of 2525 filtered 100 mm cigarettes is obtained, and the tar content of each cigarette is measured. The sample has a mean of 19.419.4 mg and a standard deviation of 3.143.14 mg. Use a 0.050.05 significance level to test the claim that the mean tar content of filtered 100 mm cigarettes is less than 21.121.1 mg, which is the mean for unfiltered king size cigarettes. What do the results suggest, if anything, about the effectiveness of the filters? What are the hypotheses? A. Upper H 0H0: muμgreater than>21.121.1 mg Upper H 1H1: muμless than<21.121.1 mg B. Upper H 0H0: muμequals=21.121.1 mg Upper H 1H1: muμgreater than or equals≥21.121.1 mg C. Upper H 0H0: muμless…
Suppose a randomly selected sample of n = 69 men has a mean foot length of x = 28.3 cm, and the standard deviation of the sample is 3 cm. Calculate an approximate 95% confidence interval for the mean foot length of men. (Round the answers to one decimal place.) to cm
One gallon of gas is put into each of 30 test cars. The resulting gas-mileage values of the sample are computed with mean of 28.5 gallons per mile, and standard deviation of 1.2 miles per gallon. What is the 95% confidence interval estimate of the mean mileage? O(27.36, 29.64) O(28.46, 28.54) O(27.3, 29.7) O(28.1, 28.9) O(28.42, 28.58) > Next Question 19.032 tv 16
6.2.3 Find the critical value t, for the confidence levelc=0.99 and sample size n= 12. Click the icon to view the t-distribution table. (Round to the nearest thousandth as needed.)
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