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A.P. Psychology Statistics Notes
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A.P. Psychology Statistics Notes. Correlation The way 2 factors vary together and how well one predicts the other Positive Correlation- direct relationship.

Dec 18, 2015

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Page 1: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

A.P. Psychology Statistics Notes

Page 2: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

Correlation

The way 2 factors vary together and how well one predicts the other

Positive Correlation- direct relationship where factors increase or decrease together

Negative Correlation – Inverse relationship where one factor goes up while one goes down

Page 3: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.
Page 4: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

Continued…

Illusory Correlation

-perceiving correlation when none exists

-we notice random coincidences as not random, rather as correlated

Page 5: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

Statistical Reasoning

Mode – the most frequently occurring score in a distribution

Mean – the arithmetic average of a distribution

Median – the middle score in a distribution

Page 6: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.
Page 7: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

Measures of Variation

Range – the difference between the highest and lowest scores in a distribution

Standard Deviation – A computed measure of how much scores vary around the mean score

Statistical Significance – A statistical statement of how likely it is that an obtained result occurred by chance

Page 8: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

68-95-99.7 Rule

In practice, one often assumes that the data are from an approximately normally distributed population.

If that assumption is justified, then about:– 68% of the values are within 1 standard deviation of

the mean

– about 95% of the values are within two standard deviations

– and about 99.7% lie within 3 standard deviations.

Page 9: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

68-95-99.7 Rule

Page 10: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

Skew

A distribution is skewed if one of its tails is longer than the other. – Positive Skew - long tail in the positive direction.

– Negative Skew - long tail in the negative direction.

– No Skew – symmetric, normal distribution.

Distributions with positive skew are sometimes called "skewed to the right" whereas distributions with negative skew are called "skewed to the left."

Page 11: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

Positive Skew

Page 12: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

Negative Skew

Page 13: A.P. Psychology Statistics Notes. Correlation  The way 2 factors vary together and how well one predicts the other  Positive Correlation- direct relationship.

No Skew (Normal Distribution)