In this particular outing, seven teams were competing for the win. A random sample of eight prior scores from each team member was collected, and the summary statistics are shown below (correct to three decimal places). Team Sample Size Sample Mean Sample Variance 1 2 3 4 5 6 7 24 32 32 32 32 32 32 76.500 79.656 79.500 82.375 80.406 80.281 80.438 14.522 18.233 13.097 47.984 18.314 11.047 14.383 If you are using... 5% 1% 0.1% To test for statistical evenness among these teams using the mix of tests we described above, however, we will have to adjust the significance levels we are accustomed to using. Use the table on the next page to help you: 53² ... use 0.238% 0.048% 0.005%

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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Complete both tables on the remaining pages and show your work for at least three Equal Variances F Tests and at least five T tests. You must show at least one computation using Welch’s T Test and at least one computation using the 2-Sample T Test for Equal Means.(I don't know how to find the T statistic, distribution, or the probability)

other numbers to three decimal places except
The Problem: Members of the Town of Colonie Golfers' Loop freque
raise concerns to Mr. Lange, as its leader, about how the league is run. The
most frequent concern raised is that the teams competing each week are not
statistically even. In other words, members raise concerns that one or more
teams have a statistical advantage over other teams.
To evaluate the validity of these claims, Mr. Lange has decided to use a mix
of statistical hypothesis tests discussed in this course to evaluate the teams
from Outing #14 in calendar-year 2016 (2016, #14). One is the Equal Vari-
ances F Test, one is Welch's T Test, and the other is the 2-Sample T Test
for Equal Means.
In this particular outing, seven teams were competing for the win. A random
sample of eight prior scores from each team member was collected, and the
summary statistics are shown below (correct to three decimal places).
Team Sample Size | Sample Mean | Sample Variance
1
24
32
32
32
32
32
32
2
3
4
5
6
7
76.500
79.656
79.500
82.375
80.406
80.281
80.438
14.522
18.233
13.097
47.984
18.314
11.047
14.383
To test for statistical evenness among these teams using the mix of tests we
described above, however, we will have to adjust the significance levels we
are accustomed to using. Use the table on the next page to help you:
If you are using...
use
5%
0.238%
1%
0.048%
0.1% 0.005%
1
53²
Transcribed Image Text:other numbers to three decimal places except The Problem: Members of the Town of Colonie Golfers' Loop freque raise concerns to Mr. Lange, as its leader, about how the league is run. The most frequent concern raised is that the teams competing each week are not statistically even. In other words, members raise concerns that one or more teams have a statistical advantage over other teams. To evaluate the validity of these claims, Mr. Lange has decided to use a mix of statistical hypothesis tests discussed in this course to evaluate the teams from Outing #14 in calendar-year 2016 (2016, #14). One is the Equal Vari- ances F Test, one is Welch's T Test, and the other is the 2-Sample T Test for Equal Means. In this particular outing, seven teams were competing for the win. A random sample of eight prior scores from each team member was collected, and the summary statistics are shown below (correct to three decimal places). Team Sample Size | Sample Mean | Sample Variance 1 24 32 32 32 32 32 32 2 3 4 5 6 7 76.500 79.656 79.500 82.375 80.406 80.281 80.438 14.522 18.233 13.097 47.984 18.314 11.047 14.383 To test for statistical evenness among these teams using the mix of tests we described above, however, we will have to adjust the significance levels we are accustomed to using. Use the table on the next page to help you: If you are using... use 5% 0.238% 1% 0.048% 0.1% 0.005% 1 53²
4
5
6
3
First
Teams to Compare
Second
2
1
6
6
7
7
5
7
6
5
7
4
7
3
4
6
2
5
6
4
7
3
5
Sample Means
First Second
79.656
76.500
79.500
82.375
79.500
80.406
82.375
80.406
80.281
80.438
79.656 80.406
79.500
82.375
80.281
80.438
82.375
80.406
80.281
80.438
80.406
80.281
80.438
80.281
80.438
80.281 80.438
4
t* Statistic
Abigail Lee
Test Results
Distribution
Probability
ests wo
Transcribed Image Text:4 5 6 3 First Teams to Compare Second 2 1 6 6 7 7 5 7 6 5 7 4 7 3 4 6 2 5 6 4 7 3 5 Sample Means First Second 79.656 76.500 79.500 82.375 79.500 80.406 82.375 80.406 80.281 80.438 79.656 80.406 79.500 82.375 80.281 80.438 82.375 80.406 80.281 80.438 80.406 80.281 80.438 80.281 80.438 80.281 80.438 4 t* Statistic Abigail Lee Test Results Distribution Probability ests wo
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