you can calculate: central tendency variability you could graph the data

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You can calculate: Central tendency Variability You could graph the data. You can calculate: Central tendency Variability You could graph the data. Bivariate Distribution. Positive Correlation. Positive Correlation. Regression Line. Correlation. r = 1.00. Regression Line. r = .64. - PowerPoint PPT Presentation

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Page 1: You can calculate: Central tendency Variability You could graph the data
Page 3: You can calculate: Central tendency Variability You could graph the data

Smile

Jerry 10

Elan 6

George 8

Newman 9

Kramer 7

Page 4: You can calculate: Central tendency Variability You could graph the data

Smile

Jerry 10

Elan 6

George 8

Newman 9

Kramer 7

You can calculate:

Central tendency

Variability

You could graph the data

Page 5: You can calculate: Central tendency Variability You could graph the data

Talk

Jerry 5

Elan 1

George 3

Newman 4

Kramer 2

You can calculate:

Central tendency

Variability

You could graph the data

Page 6: You can calculate: Central tendency Variability You could graph the data

Bivariate Distribution

Smile Talk

Jerry 10 5

Elan 6 1

George 8 3

Newman 9 4

Kramer 7 2

Page 7: You can calculate: Central tendency Variability You could graph the data

Positive Correlation

Smile Talk

Jerry 10 5

Elan 6 1

George 8 3

Newman 9 4

Kramer 7 2

Page 8: You can calculate: Central tendency Variability You could graph the data

Positive Correlation

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Talk

Smil

e

Page 9: You can calculate: Central tendency Variability You could graph the data

Regression Line

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Smil

e

Page 10: You can calculate: Central tendency Variability You could graph the data

Correlation

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r = 1.00

Page 11: You can calculate: Central tendency Variability You could graph the data

Regression Line

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. . .. .

r = .64

Page 12: You can calculate: Central tendency Variability You could graph the data

Regression Line

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. .. .

r = .64

.

Page 13: You can calculate: Central tendency Variability You could graph the data

Frown Talk

Jerry 10 2

Elan 6 6

George 8 4

Newman 9 3

Kramer 7 5

Page 14: You can calculate: Central tendency Variability You could graph the data

Frown Talk

Jerry 10 2

Elan 6 6

George 8 4

Newman 9 3

Kramer 7 5

Negative Correlation

Page 15: You can calculate: Central tendency Variability You could graph the data

Negative Correlation

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2 3 4 5 6

Talk

Fro

wn

r = - 1.00

Page 16: You can calculate: Central tendency Variability You could graph the data

Negative Correlation

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Fro

wn

.

.

. .. r = - .85

Page 17: You can calculate: Central tendency Variability You could graph the data

Gas in car Talk

Jerry 10 8

Elan 6 9

George 8 3

Newman 9 4

Kramer 7 3

Page 18: You can calculate: Central tendency Variability You could graph the data

Gas in car Talk

Jerry 10 8

Elan 6 9

George 8 3

Newman 9 4

Kramer 7 3

Zero Correlation

Page 19: You can calculate: Central tendency Variability You could graph the data

Zero Correlation

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Talk

Gas

in c

ar

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... .r = .00

Page 20: You can calculate: Central tendency Variability You could graph the data

Correlation Coefficient

• The sign of a correlation (+ or -) only tells you the direction of the relationship

• The value of the correlation only tells you about the size of the relationship (i.e., how close the scores are to the regression line)

Page 21: You can calculate: Central tendency Variability You could graph the data

• Which is a bigger effect?

r = .40 or r = -.40

How are they different?

Page 22: You can calculate: Central tendency Variability You could graph the data

Interpreting an r value

• What is a “big r”

• Rule of thumb:

Small r = .10

Medium r = .30

Large r = .50

Page 23: You can calculate: Central tendency Variability You could graph the data

Practice• Do you think the following variables are positively,

negatively or uncorrelated to each other?

• Alcohol consumption & Driving skills• Miles of running a day & speed in a foot race• Height & GPA• Forearm length & foot length• Test #1 score and Test#2 score

Page 24: You can calculate: Central tendency Variability You could graph the data

Practice

• Page 102– #5.8

• Page 96– #5.5 1) Draw a scatter plot

2) Estimate the correlation

Page 25: You can calculate: Central tendency Variability You could graph the data

5.8

• A) -.60

• B) -.95

• C) .50

• D) .25

Page 26: You can calculate: Central tendency Variability You could graph the data

Smile Y

Talk X

Jerry 9 5

Elan 2 1

George 5 3

Newman 4 4

Kramer 3 2

Page 27: You can calculate: Central tendency Variability You could graph the data

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Smil

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.

.. ..

Page 28: You can calculate: Central tendency Variability You could graph the data

Statistics Needed

• Need to find the best place to draw the regression line on a scatter plot

• Need to quantify the cluster of scores around this regression line (i.e., the correlation coefficient)

Page 29: You can calculate: Central tendency Variability You could graph the data

Correlation Coefficient• A correlation coefficient provides a quantitative

way to express the degree of relationship between two variables

• There are 3 different formulas presented in the book

• Z-score formula is a good way to see “what's going on” -- page 93

Page 30: You can calculate: Central tendency Variability You could graph the data

Blanched Formula

XY = product of each X value multiplied by its paired Y value

X = mean of variable X

Y = mean of variable Y

Sx = standard deviation of variable X

Sy = standard deviation of variable Y

N = number of pairs of observations

r =

Page 31: You can calculate: Central tendency Variability You could graph the data

Smile Y

Talk X

Jerry 9 5

Elan 2 1

George 5 3

Newman 4 4

Kramer 3 2

Page 32: You can calculate: Central tendency Variability You could graph the data

SmileY

TalkX XY

Jerry 9 5

Elan 2 1

George 5 3

Newman 4 4

Kramer 3 2

Mean Y = 4.6; SY = 2.41Mean X = 3.0; SX = 1.41

Page 33: You can calculate: Central tendency Variability You could graph the data

SmileY

TalkX XY

Jerry 9 5 45

Elan 2 1 2

George 5 3 15

Newman 4 4 16

Kramer 3 2 6XY = 84

Mean Y = 4.6; SY = 2.41Mean X = 3.0; SX = 1.41

Page 34: You can calculate: Central tendency Variability You could graph the data

Blanched Formula

XY = 84

X = 3.0

Y = 4.6

Sx = 1.41

Sy = 2.41

N = 5

r =

Page 35: You can calculate: Central tendency Variability You could graph the data

Blanched Formula

r =

84

XY = 84

X = 3.0

Y = 4.6

Sx = 1.41

Sy = 2.41

N = 5

Page 36: You can calculate: Central tendency Variability You could graph the data

Blanched Formula

r =

84 4.63.0

XY = 84

X = 3.0

Y = 4.6

Sx = 1.41

Sy = 2.41

N = 5

Page 37: You can calculate: Central tendency Variability You could graph the data

Blanched Formula

r =

84

1.41 2.41

5

XY = 84

X = 3.0

Y = 4.6

Sx = 1.41

Sy = 2.41

N = 5

4.63.0

Page 38: You can calculate: Central tendency Variability You could graph the data

Blanched Formula

r =

844.6 3.0

1.41 2.41

516.8 13.8

XY = 84

X = 3.0

Y = 4.6

Sx = 1.41

Sy = 2.41

N = 5

Page 39: You can calculate: Central tendency Variability You could graph the data

Blanched Formula

r =

844.6 3.0

2.41 1.41

516.8 13.8

3.40

3.00.88

XY = 84

X = 3.0

Y = 4.6

Sx = 1.41

Sy = 2.41

N = 5

Page 40: You can calculate: Central tendency Variability You could graph the data

0

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Smil

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.

.. .. r = .88