In many situations in which the ifrene n variances i not to great the esuts from the AOV comparisons of the population means of the ransformed data are very similar to the resuts hat would have been obtained using the original data.In thesestuation,the researcheris inclined to ignore the ransformations because the scale of the transformed data is not relevant to the researcher. Thus, confidence intervals constructed for the means using the transformed data may not be very relevant. One possible remedyfor this problem is to construct confidence intervals using the transformed data and then perform an inverse transformation of the endpoints of the intervals. Then we would obtain a confidence interal with values having the same units of measurement as the original data. Subject A, A A

In many situations in which the ifrene n variances i not to great the esuts from the AOV comparisons of the population means of the ransformed data are very similar to the resuts hat would have been obtained using the original data.In thesestuation,the researcheris inclined to ignore the ransformations because the scale of the transformed data is not relevant to the researcher. Thus, confidence intervals constructed for the means using the transformed data may not be very relevant. One possible remedyfor this problem is to construct confidence intervals using the transformed data and then perform an inverse transformation of the endpoints of the intervals. Then we would obtain a confidence interal with values having the same units of measurement as the original data. Subject A, A A

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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