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Gender and Shoes - Intro to Inferential Statistics

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    We going to wrap this lesson up with one last question. What proportion of the
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    difference in pairs of shoes owned can be attributed to gender? In other words,
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    you found that the difference between the pairs of shoes owned on average by
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    our sample of males and females, was about 15. How much of this difference can
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    be explained by the fact that some are males and some are female? This is found
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    by r squared, which is the ratio of our t-statistic squared, divided by t
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    squared plus the degrees of freedom.
Title:
Gender and Shoes - Intro to Inferential Statistics
Description:

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Video Language:
English
Team:
Udacity
Project:
UD201 - Intro to Inferential Statistics
Duration:
0:34
Udacity Robot edited English subtitles for 10-39 Gender and Shoes
Udacity Robot edited English subtitles for 10-39 Gender and Shoes
Udacity Robot edited English subtitles for 10-39 Gender and Shoes
Udacity Robot edited English subtitles for 10-39 Gender and Shoes
Cogi-Admin added a translation

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