A paint manufacturer wished to compare the drying times of two different types of paint. Independent simple random samples of 11 cans of type A and 9 cans of type B were selected and applied to similar surfaces. The drying times, in hours, were recorded. The summary statistics are as follows. Type A Type B X1 76.9 X2 63.7 $1 4.5 s2 5.1 n1 = 11 n2 9 Construct a 98% confidence interval for the difference between the mean drying time for paint of type A and the mean drying time for paint of type B. Round your answer in 2 decimal places

A paint manufacturer wished to compare the drying times of two different types of paint. Independent simple random samples of 11 cans of type A and 9 cans of type B were selected and applied to similar surfaces. The drying times, in hours, were recorded. The summary statistics are as follows. Type A Type B X1 76.9 X2 63.7 $1 4.5 s2 5.1 n1 = 11 n2 9 Construct a 98% confidence interval for the difference between the mean drying time for paint of type A and the mean drying time for paint of type B. Round your answer in 2 decimal places

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Description: A paint manufacturer wished to compare the drying times of two different types of paint.Independent simple random samples of 11 cans of type A and 9 cans of type B were selectedand applied to similar surfaces. The drying times, in hours, were record

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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A company that manufactures baseball bats believes that its new bat will allow players to hit the ball 3030 feet farther than its current model. The owner hires a professional baseball player known for hitting home runs to hit ten balls with each bat and he measures the distance each ball is hit to test the company’s claim. The results of the batting experiment are shown in the following table. Construct a 90%90% confidence interval for the true difference between the mean distance hit with the new model and the mean distance hit with the older model. Assume that the variances of the two populations are the same. Let Population 1 be the distances of balls hit with the new model baseball bat and Population 2 be the distances of balls hit with the old model. Round the endpoints of the interval to one decimal place, if necessary. Hitting Distance (in Feet) New Model Old Model 264264 271271 232232 264264 261261 275275 251251 258258 205205 249249 293293 235235 207207…