3) A physical education director claims by taking a special vitamin, a weight lifter can increase his strength. Eight 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 3 4 5 6 7 8 Before (X₁) 210 230 182 205 262 253 219 216 After (X2) 219 236 179 204 270 250 222 216
3) A physical education director claims by taking a special vitamin, a weight lifter can increase his strength. Eight 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 3 4 5 6 7 8 Before (X₁) 210 230 182 205 262 253 219 216 After (X2) 219 236 179 204 270 250 222 216
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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please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly
Transcribed Image Text:3)
A physical education director claims by taking a special vitamin, a weight lifter
can increase his strength. Eight 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
3
4
5
6
7
8
Before (X₁)
210
230
182
205
262
253
219
216
After (X2)
219
236
179
204
270
250
222 216
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