Example 2: Bryan coaches track and field at a local high school and during the previous season he got the impression that his 800m runners performed better when their races were in the morning as opposed to the afternoon. This season, he wanted to determine if his runners in fact performed better in the morning so he recorded all of their times for each race throughout the entire season. The data that he recorded for the morning and afternoon races are shown below. Carry out an appropriate hypothesis test at the a = 0.05 level to determine if his 800m runners performed better in the morning than in the afternoon. Sample Size Standard Deviation Average Morning 38 14 122 Afternoon 54 13 124

Example 2: Bryan coaches track and field at a local high school and during the previous season he got the impression that his 800m runners performed better when their races were in the morning as opposed to the afternoon. This season, he wanted to determine if his runners in fact performed better in the morning so he recorded all of their times for each race throughout the entire season. The data that he recorded for the morning and afternoon races are shown below. Carry out an appropriate hypothesis test at the a = 0.05 level to determine if his 800m runners performed better in the morning than in the afternoon. Sample Size Standard Deviation Average Morning 38 14 122 Afternoon 54 13 124

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Description: Example 2: Bryan coaches track and field at a local high school and during the previous seasonhe got the impression that his 800m runners performed better when their races were in themorning as opposed to the afternoon. This season, he wanted to det

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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Question Two.
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