Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting positions. Calculate the chi- square test statistic x² to test the claim that the number of wins is uniformly distributed across the different starting positions. The results are based on 240 wins. Starting Position 1 4 5 6 2 3 Number of Wins 32 36 45 44 33 50 O 12.592 9.326 6.750 15.541
Many track runners believe that they have a better chance of winning if they start in the inside lane that is closest to the field. For the data below, the lane closest to the field is Lane 1, the next lane is Lane 2, and so on until the outermost lane, Lane 6. The data lists the number of wins for track runners in the different starting positions. Calculate the chi- square test statistic x² to test the claim that the number of wins is uniformly distributed across the different starting positions. The results are based on 240 wins. Starting Position 1 4 5 6 2 3 Number of Wins 32 36 45 44 33 50 O 12.592 9.326 6.750 15.541
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
Related questions
Question

Transcribed Image Text:Provide an appropriate response.
Many track runners believe that they have a
better chance of winning if they start in the
inside lane that is closest to the field. For the
data below, the lane closest to the field is Lane
1, the next lane is Lane 2, and so on until the
outermost lane, Lane 6. The data lists the
number of wins for track runners in the
different starting positions. Calculate the chi-
square test statistic x² to test the claim that the
number of wins is uniformly distributed across
the different starting positions. The results are
based on 240 wins.
Starting Position 1 2 3 4 5 6
Number of Wins 32 36 45 44 33 50
12.592
9.326
6.750
15.541

Transcribed Image Text:Calculate x² from contingency table.
Use the sample data below to calculate the chi-
squared test statistic for testing whether car
color affects the likelihood of being in an
accident. Use a significance level of 0.01.
Red Blue White
Car has been in
accident
Car has not been
in accident
6.635
0.4287
0.050
0.579
O 9.210
28 33
23 22
36
30
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