A physical education director claims by taking a special vitamin, a weight lifter can increase his strength. Ten athletes are selected and given a test of strength, using the standard bench press. After 2 weeks of regular training, supplemented with the vitamin, they are tested again. Test the effectiveness of the vitamin regimen at a = 0.05. Each value in these data represents the maximum number of pounds the athlete can bench-press. Assume that the variable is approximately normally distributed.

A physical education director claims by taking a special vitamin, a weight lifter can increase his strength. Ten athletes are selected and given a test of strength, using the standard bench press. After 2 weeks of regular training, supplemented with the vitamin, they are tested again. Test the effectiveness of the vitamin regimen at a = 0.05. Each value in these data represents the maximum number of pounds the athlete can bench-press. Assume that the variable is approximately normally distributed.

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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Equations and Inequations

Equations and inequalities describe the relationship between two mathematical expressions.

Linear Functions

A linear function can just be a constant, or it can be the constant multiplied with the variable like x or y. If the variables are of the form, x2, x1/2 or y2 it is not linear. The exponent over the variables should always be 1.

Question

A physical education director claims by taking a special vitamin, a weight lifter can increase his
strength. Ten athletes are selected and given a test of strength, using the standard bench press.
After 2 weeks of regular training, supplemented with the vitamin, they are tested again. Test
the effectiveness of the vitamin regimen at a = 0.05. Each value in these data represents the
maximum number of pounds the athlete can bench-press. Assume that the variable is
approximately normally distributed.
Athlete
1
2
4
5
6
7
8
10
Before (X1)
216
219
253
262
205
182
230
210
195
200
After (X2)
216
222
250
270
204
179
236
219
190
205

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