Formulas Statistics Period 1 Flashcards

1
Q

What is the Interquartile Range?

A

Range of values between the first and the third quartile of your dataset (25th-75th percentile)
Calculation: IQR=Q3-Q1

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2
Q

What is the standard deviation Sx?

A

Describes by how much all the values of a dataset differ from the mean on average.
Calculation: Square root of the variance.

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3
Q

What is variance?

A

Average squared deviation.

Calculation: take square of deviation (sum of all values - mean) and then divide by number of subjects - 1 (n-1)

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4
Q

What is Centering?

A

Values are changed but not the scale, to to make the data more managable.
Calculation: X’ = X - X-mean

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5
Q

What is Standardizing?

A

Values and the scale are transformed to make the data more managable.
Z-Score: Z = X - X-mean / Sx

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6
Q

Correlation coefficient r

A

rxy = sum of Zx*Zy / n-1

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7
Q

Regression coefficient b (slope of regression line equation)

A

b = rxy * Sy / Sx

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8
Q

Intercept of regression equation

A

a = Y-mean - bX-mean

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9
Q

Explained variation in regression-analyses

A

squared sum of y-expected - y-mean

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10
Q

Unexplained (error) variation in regression analysis

A

Unexplained sum of squares divided by total sum of squares.

Squared sum of y - y-expected

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11
Q

Proportion explained variation

A

Explained sum of squares divided by total sum of squares.

rxy^2

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12
Q

Total sum of squares

A

Sum of explained sum of squares and the unexplained (residual) sum of squares.

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13
Q

Interrater reliability

A

Level of agreement between raters.

observed agreement - expected agreement / number of judgements - expected agreement

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14
Q

Regression line

A

y-expected = b (slope) *x + a (intercept)

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15
Q

What is the Standard deviation Sx?

A

Describes by how much all the values differ from the mean on average.
Calculation: Square Root of the variance.

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