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Review the attached data set (see excel document). Identify potential outliers, implausible values and missing values in the data set. How might these outliers and

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Review the attached data set (see excel document). Identify potential outliers, implausible values and missing values in the data set. How might these outliers and implausible values effect measures of central tendency and measures of variability? If you were going to analyze this data, what would you do with the outliers, implausible values and missing values? Once done cleaning the data, what type of Graphic would you use to display the data and why?

B c 0 E T F H H B E Treatment Pre Knowledge Pre Self-Efficacy Pre Self Regulation J Post Knovledge Post SE Post SR 14 Post Activity mm S YNE GO 15 15 16 19 14 Knowledge Seale - 1-20 7 0 0 0 0 - . ANNA828 SE Scale = 1-20 4 2 E E E E E E E E E E E 9 SR Scale = 1-10 5 2 8 HEECT6 . Activity Scale - Self-Reported Minutes of PA 4 12 8 5 8 8 9 8 7 2 hQng QR 3 4 6 $ 9 E = = 8 S 6 9 8 15 13 6 17 15 18 14 17 18 14 14 12 14 15 15 10 13 14 11 18 14 18 13 15 13 14 11 15 11 E E 11 11 10 8 2 00000 WANAWN822 WXXNNNS to 10 - | E E 6 11 3 3 6 6 6 5 6 0000 E E 9 8 7 7 9 8 6 0 10 11 75 8 GOOD 6 7 7 mmmmmmm 4 3 8 20 . 0000 | 0 000 B c 0 E T F H H B E Treatment Pre Knowledge Pre Self-Efficacy Pre Self Regulation J Post Knovledge Post SE Post SR 14 Post Activity mm S YNE GO 15 15 16 19 14 Knowledge Seale - 1-20 7 0 0 0 0 - . ANNA828 SE Scale = 1-20 4 2 E E E E E E E E E E E 9 SR Scale = 1-10 5 2 8 HEECT6 . Activity Scale - Self-Reported Minutes of PA 4 12 8 5 8 8 9 8 7 2 hQng QR 3 4 6 $ 9 E = = 8 S 6 9 8 15 13 6 17 15 18 14 17 18 14 14 12 14 15 15 10 13 14 11 18 14 18 13 15 13 14 11 15 11 E E 11 11 10 8 2 00000 WANAWN822 WXXNNNS to 10 - | E E 6 11 3 3 6 6 6 5 6 0000 E E 9 8 7 7 9 8 6 0 10 11 75 8 GOOD 6 7 7 mmmmmmm 4 3 8 20 . 0000 | 0 000

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