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niversity of North Texas Dr. J. Kyle Roberts © 2004 Unit 2: Bivariate Relationships Lesson 1: Reviewing the Homework EDER 6010: Statistics for Educational Research Dr. J. Kyle Roberts University of North Texas Next Slide

Unit 2 lesson 1

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Page 1: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

Unit 2: Bivariate Relationships

Lesson 1: Reviewing the Homework

EDER 6010: Statistics for Educational Research

Dr. J. Kyle Roberts

University of North Texas

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Page 2: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

Kyle’s “Mock” Data

JohnMeredithKyleAddie

X1234

Y1112

1 2 3 4

X

1 2 3 4

Y

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Page 3: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

Deciphering the HomeworkX Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25SD 1.29 0.50Skewness 0 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

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Page 4: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25SD 1.29 0.50Skewness 0 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50Skewness 0 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

Deciphering the Mean

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Page 5: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50Skewness 0 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

Deciphering the Standard Deviation

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Page 6: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

Deciphering the Skewness

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X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75 0.75 0.75 0.75 -0.75 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

Page 7: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75 0.75 0.75 0.75 -0.75 0.75Kurtosis -2.08 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75 0.75 0.75 0.75 -0.75 0.75Kurtosis -2.08 -1.69 -1.69 -1.69 -1.69 -1.69 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

Deciphering the Kurtosis

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Page 8: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75 0.75 0.75 0.75 -0.75 0.75Kurtosis -2.08 -1.69 -1.69 -1.69 -1.69 -1.69 -1.69COVX ???

N/A0.50

rx ???N/A

0.78

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75 0.75 0.75 0.75 -0.75 0.75Kurtosis -2.08 -1.69 -1.69 -1.69 -1.69 -1.69 -1.69COVX ???

N/A0.50 0.50 0.50 1.00 -0.25 1.00

rx ???N/A

0.78

Deciphering the Covariance

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Page 9: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75 0.75 0.75 0.75 -0.75 0.75Kurtosis -2.08 -1.69 -1.69 -1.69 -1.69 -1.69 -1.69COVX ???

N/A0.50 0.50 0.50 1.00 -0.25 1.00

rx ???N/A

0.78

X Y Y + 3 Y – 1 Y * 2 Y * -.5 (Y+1)*2

Mean 2.50 1.25 4.25 0.25 2.50 -.625 4.5SD 1.29 0.50 0.50 0.50 1.00 0.25 1.00Skewness 0 0.75 0.75 0.75 0.75 -0.75 0.75Kurtosis -2.08 -1.69 -1.69 -1.69 -1.69 -1.69 -1.69COVX ???

N/A0.50 0.50 0.50 1.00 -0.25 1.00

rx ???N/A

0.78 0.78 0.78 0.78 -0.78 0.78

Deciphering the Pearson r

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Page 10: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

Additive Constants

MeanSDSkewnessKurtosisCovariancePearson r

Changes by the value of the additive constantDoes not changeDoes not changeDoes not changeDoes not changeDoes not change

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Page 11: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

Multiplicative Constants

MeanSD

Skewness

KurtosisCovariancePearson r

Changes by the value of the multiplicative constantChanges by the value of the multiplicative constant,but cannot be negativeValue won’t change, but will flip signs with a negative MCDoes not changeChanges by the value of the multiplicative constantValue won’t change, but will flip signs with a negative MC

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Page 12: Unit 2 lesson 1

University of North Texas Dr. J. Kyle Roberts © 2004

Unit 2: Bivariate Relationships

Lesson 1: Reviewing the Homework

EDER 6010: Statistics for Educational Research

Dr. J. Kyle Roberts

University of North Texas