1. Researchers found that the volume of a sample of 16 cans of Coke has a mean of 12.19 oz with a standard deviation of 1.25 oz. The meanvolume of the sample of 14 Pepsi cans has a mean of 12.29 oz with a standard deviation of 1.05 oz.a) Test the claim that the average size of a Coke can is different than a Pepsi can. Use the p-value method and a significance level of 1%.b) Test the claim that the variance of Pepsi cans is less than the variance of Coke cans. Use a 5% significance level and the critical valuemethod.

Answered: Image /qna-images/answer/9facad6a-2edb-441a-aaaf-8bfcdbf0ac12.jpg

Answered: 1. Researchers found that the volume of…

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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An automobile manufacture builds brakes with a specific diameter. The break data is normally distributed with a mean of 14.8 inches and a standard deviation of 1.3 inches. What percent of manufacture brakes have a size between 12.6 inches and 16.4 inches.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 65 miles per hour, with a standard deviation of 4 miles per hour. Estimate the percent of vehicles whose speeds are between 57 miles per hour and 73 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately % of vehicles travel between 57 miles per hour and 73 miles per hour.
You have have sampled five production lines operating and you wish to estimate the sample standard deviation of the five lines. Given the data below, provide your estimate of the sample standard deviation to the first decimal point, that is, 0.9 instead of 1. Month Production Line 1 51 Line 2 145 Line 3 70 Line 4 119 Line 5 92
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway per hour and 85 miles per hour. (Assume the data set has a bell-shaped distribution.) 70 miles per hour, with a standard deviation of 5 miles per hour. Estimate the percent of vehicles whese speeds are between 55 miles Approximately% of vehicles travel between 55 miles per hour and 85 miles per hour.
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 67 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 64 miles per hour and 70 miles per hour. (Assume the data set has a bell-shaped distribution.)
A normal distribution with mean =113.5 and st deviation=86.6.find P32 which is the score separating the bottom 32% from 68%
Use the Empirical Rule. The mean speed of a sample of vehicles along a stretch of highway is 68 miles per hour, with a standard deviation of 3 miles per hour. Estimate the percent of vehicles whose speeds are between 65 miles per hour and 71 miles per hour. (Assume the data set has a bell-shaped distribution.) Approximately nothing% of vehicles travel between 65 miles per hour and 71 miles per hour.
The Chancellor wants you to calculate the sample size needed with a margin of error of 15, 99% confidence, and a population standard deviation of 22.
Companies who design furniture for elementary school classrooms produce a variety of sizes for children of different ages. Suppose the heights of kindergarten children are normally distributed with a mean of 97 cm and a standard deviation of 4.9 cm. What proportion of kindergarten children should the company expect to be less than 91 cm tall?
1. It is the most reliable measure of variation or dispersion? choose: Range Standard deviation Mean deviation Variance 2.The weights of ripe watermelons at Mr. Pakwan's farm are normally distributed with a standard deviation of 1.4 kg. Find the mean weight of Mr. Pakwan's ripe watermelons if only 3% weigh less than 3.5 kg. choose: 5.28 kg 3.61 kg 6.13 kg 4.90 kg thanks
The mean SAT verbal score is 485, with a standard deviation of 97. Use the empirical rule to determine what percent of the scores lie between 485 and 679. (Assume the data set has a bell-shaped distribution.)
To determine whether there is a significant difference in the weights of boys and girls beginning kindergarten, random samples of 50 boys and 50 girls aged 5 years produced the following information. Mean Standard Deviation Sample Size Boys 43.5 lb 6.8 50 Girls 38.7 lb 3.5 50 (a) What is the point estimate of the difference in the average weights for 5-year old boys and girls? (Use ?Boys − ?Girls.) lb What is the 95% margin of error for the point estimate you found? (Round your answer to three decimal places.) lb (b) What is the 98% confidence interval estimate of ?Boys − ?Girls? (Round your answers to two decimal places.) lb to lb

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