One of your colleagues is interested in running individual t-tests to compare dogs and cats for each of the 25 personality metrics. You are advocating for using just two principal components that summarize much of the dataset. What is your reasoning?By chance alone, you colleague is likely to detect at least one significant test result, even if it is not truly significant – this is known as a type 1 errorBy chance alone, you colleague is likely to detect at least one significant test result, even if it is not truly significant – this is known as a type 2 errorBy chance alone, you colleague is likely to detect at least five significant test results, even if it is not truly significant – this is known as a type 1 errorBy chance alone, you colleague is likely to detect at least five significant test results, even if it is not truly significant – this is known as a type 2 error

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Answered: One of your colleagues is interested in…

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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One of your colleagues is interested in running individual t-tests to compare dogs and cats for each of the 25 personality metrics. You are advocating for using just two principal components that summarize much of the dataset. What is your reasoning?

By chance alone, you colleague is likely to detect at least one significant test result, even if it is not truly significant – this is known as a type 1 error
By chance alone, you colleague is likely to detect at least one significant test result, even if it is not truly significant – this is known as a type 2 error
By chance alone, you colleague is likely to detect at least five significant test results, even if it is not truly significant – this is known as a type 1 error
By chance alone, you colleague is likely to detect at least five significant test results, even if it is not truly significant – this is known as a type 2 error

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