Chapter Four Flashcards

Variability (13 cards)

1
Q

What is the notation “S”

A

Sample standard deviation

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2
Q

What is the notation “σ”

A

Population standard deviation

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3
Q

How does one calculate variance given a dataset

A

Find average of sum of squares (mean subtracted from values, values squared, add squared values (sum of squares), divide by amount of values)

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4
Q

How to find the standard deviation for a sample

A

Mean subtracted from each score, square values, add squared values, divide by degrees of freedom (Number of values minus one), square root

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5
Q

How to find the standard deviation for a population

A

Mean subtracted from each score, square values, add squared values, divide by number of values, square root

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6
Q

How is the range found

A

1: Lowest score subtracted from highest score
2: Lowest score and highest score (This to this (number-number))

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7
Q

Why is the range an imprecise and unreliable measure of variability

A

The range is based on two scores therefore not all scores are represented

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8
Q

What does the standard deviation approximate (how is it interpreted)

A

Average distance from the mean for scores in a dataset

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9
Q

How is the mean found when given n (or N) and Σ𝑥 (without a dataset provided)

A

Divide sum Σ𝑥 by the count n (or N)

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10
Q

How is the variance found when given n (or N), Σ𝑥 and sum of squares without a dataset

A

Divide sum of squares by n

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11
Q

How is the standard deviation found when given n (or N) and the variance (without a dataset)

A

Find square root of varience

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12
Q

What is the imact on the mean and standard deviation when mutiplying/dividing a constant value from the dataset

A

Mean: Gets multiplied or divided by that same constant
Standard Deviation: Multiplied by the absolute value of the constant

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13
Q

What is the impact on the mean and standard deviation when adding/subtracting a constant value from the dataset

A

Mean: Shift by that exact constant amount
Standard Deviation: No change

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