The grade point average of 4 randomly selected college students is recorded at the end of the fall and spring semesters of their senior year, as follows:| Student | 1 | 2 | 3 | 4 ||---------|-----|-----|-----|-----|| Fall | 2.7 | 1.7 | 3.0 | 2.1 || Spring | 2.2 | 0.9 | 2.8 | 2.2 |Construct a 95% confidence interval for the mean difference in GPA.- Lower bound = [_________] (use two decimal places)- Upper bound = [_________] (use two decimal places)

We have to create 95% confidence interval for difference in mean for paired data using t statistics.

Answered: The grade point average of 4 randomly…

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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I need help in trying to develope a 80% confidence interval for stock high prices and conduct a hypothesis test where we test that variable against 0. This is the data I have collected. DESCRIPTIVE INFORMATION XOM ETR NPR Samples 21 21 21 Min 55.94 99.79 16.40 Max 59.48 109.43 18.90 Range 3.54 9.64 2.50 Mean 57.09 105.34 17.46 Variance 1.004 8.680 0.531 St. Deviation 1.002 2.946 0.729
A company that manufactures baseball bats believes that its new bat will allow players to hit the ball 30 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 % 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 215 234 202 298 224 294 211 246 215 268 248 211 255 226 228 284 247 221 214 259
A company that manufactures baseball bats believes that its new bat will allow players to hit the ball 30 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 % 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 246 240 272 262 237 250 247 235 261 216 Old Model 293 232 299 279 239 228 256 292 272 298
A random sample of 75 customers was polled. .626 and the 95% confidence interval

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