Harker and Keltner (2001) examined whether emotional well-being in later life could be predicted from the facial experience expressions of 141 women in their college yearbook photos. The predictor variable of greatest interest was the “positivity of emotional expression” in the college yearbook photo. They also had these photographs rated on physical attractiveness. They contacted the same woman for follow-up psychological assessments at age 52 (and at other ages, data not showing here). Here are the correlations of these two predictors (based on ratings of the yearbook photo) with several of their self-reported social and emotional outcomes at age 52: In College Photo At Age 52Physical AttractivenessPositivity of Facial ExpressionNegative emotionality.04-.27Nurturance-.06.22Well being.03.27Which of the six correlations above are statistically significant (i) if you test each correlation using = .05, two-tailed, and (ii) if you set EW = .05 and use Bonferroni-corrected test?

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MATLAB: An Introduction with Applications

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Harker and Keltner (2001) examined whether emotional well-being in later life could be predicted from the facial experience expressions of 141 women in their college yearbook photos. The predictor variable of greatest interest was the “positivity of emotional expression” in the college yearbook photo. They also had these photographs rated on physical attractiveness. They contacted the same woman for follow-up psychological assessments at age 52 (and at other ages, data not showing here). Here are the correlations of these two predictors (based on ratings of the yearbook photo) with several of their self-reported social and emotional outcomes at age 52:

	In College Photo
At Age 52	Physical Attractiveness	Positivity of Facial Expression
Negative emotionality	.04	-.27
Nurturance	-.06	.22
Well being	.03	.27

Which of the six correlations above are statistically significant (i) if you test each correlation using = .05, two-tailed, and (ii) if you set EW = .05 and use Bonferroni-corrected test?

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