Suppose samples of six different brands of diet or imitation margarine were analyzed to determine the level of physiologically active polyunsaturated fatty acids (PAPUFA, in percent), resulting in the data shown in the accompanying table. Imperial 14.1 13.6 14.6 14.3 Parkay 12.8 12.5 13.6 13.0 12.3 Blue Bonnet 13.5 13.4 14.1 14.5 Chiffon 13.2 12.7 12.6 14 Mazola 16.8 17.3 16.4 17.3 18.0 Fleischmann's 18.1 17.2 18.8 18.4 (a) Test for differences among the true means for PAPUFA percentages among the different brands. Use ? = 0.05. Calculate the test statistic. (Round your answer to two decimal places.) F = Use technology to find the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? Reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.Fail to reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal. Reject H0. There is not convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.Fail to reject H0. There is not convincing evidence that the mean PAPUFA percentages for the six brands are not all equal. (b)
Suppose samples of six different brands of diet or imitation margarine were analyzed to determine the level of physiologically active polyunsaturated fatty acids (PAPUFA, in percent), resulting in the data shown in the accompanying table. Imperial 14.1 13.6 14.6 14.3 Parkay 12.8 12.5 13.6 13.0 12.3 Blue Bonnet 13.5 13.4 14.1 14.5 Chiffon 13.2 12.7 12.6 14 Mazola 16.8 17.3 16.4 17.3 18.0 Fleischmann's 18.1 17.2 18.8 18.4 (a) Test for differences among the true means for PAPUFA percentages among the different brands. Use ? = 0.05. Calculate the test statistic. (Round your answer to two decimal places.) F = Use technology to find the P-value. (Round your answer to four decimal places.) P-value = What can you conclude? Reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.Fail to reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal. Reject H0. There is not convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.Fail to reject H0. There is not convincing evidence that the mean PAPUFA percentages for the six brands are not all equal. (b)
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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Suppose samples of six different brands of diet or imitation margarine were analyzed to determine the level of physiologically active polyunsaturated fatty acids (PAPUFA, in percent), resulting in the data shown in the accompanying table.
Imperial | 14.1 | 13.6 | 14.6 | 14.3 | |
---|---|---|---|---|---|
Parkay | 12.8 | 12.5 | 13.6 | 13.0 | 12.3 |
Blue Bonnet | 13.5 | 13.4 | 14.1 | 14.5 | |
Chiffon | 13.2 | 12.7 | 12.6 | 14 | |
Mazola | 16.8 | 17.3 | 16.4 | 17.3 | 18.0 |
Fleischmann's | 18.1 | 17.2 | 18.8 | 18.4 |
(a)
Test for differences among the true means for PAPUFA percentages among the different brands. Use
? = 0.05.
Calculate the test statistic. (Round your answer to two decimal places.)
F =
Use technology to find the P-value. (Round your answer to four decimal places.)
P-value =
What can you conclude?
Reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.Fail to reject H0. There is convincing evidence that the mean PAPUFA percentages for the six brands are not all equal. Reject H0. There is not convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.Fail to reject H0. There is not convincing evidence that the mean PAPUFA percentages for the six brands are not all equal.
(b)
Use the T-K procedure to calculate 95% simultaneous confidence intervals for all differences between means. (Round your answers to three decimal places.)
Imperial and Parkay
,
Imperial and Blue Bonnet
,
Imperial and Chiffon
,
Imperial and Mazola
,
Imperial and Fleischmann's
,
Parkay and Blue Bonnet
,
Parkay and Chiffon
,
Parkay and Mazola
,
Parkay and Fleischmann's
,
Blue Bonnet and Chiffon
,
Blue Bonnet and Mazola
,
Blue Bonnet and Fleischmann's
,
Chiffon and Mazola
,
Chiffon and Fleischmann's
,
Mazola and Fleischmann's
,
Give the corresponding underscoring pattern.
Parkay | Chiffon | Blue Bonnet | Imperial | Mazola | Fleischmann's | ||||||
Sample Mean | 12.84 | 13.125 | 13.875 | 14.15 | 17.16 | 18.125 | |||||
Parkay | Chiffon | Blue Bonnet | Imperial | Mazola | Fleischmann's | ||||||
Sample Mean | 12.84 | 13.125 | 13.875 | 14.15 | 17.16 | 18.125 | |||||
Parkay | Chiffon | Blue Bonnet | Imperial | Mazola | Fleischmann's | ||||||
Sample Mean | 12.84 | 13.125 | 13.875 | 14.15 | 17.16 | 18.125 | |||||
Parkay | Chiffon | Blue Bonnet | Imperial | Mazola | Fleischmann's | ||||||
Sample Mean | 12.84 | 13.125 | 13.875 | 14.15 | 17.16 | 18.125 | |||||
Parkay | Chiffon | Blue Bonnet | Imperial | Mazola | Fleischmann's | ||||||
Sample Mean | 12.84 | 13.125 | 13.875 | 14.15 | 17.16 | 18.125 | |||||
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