Measures of Dispersion Flashcards

1
Q

What is dispersion (variability) in statistics?

A

The variety, diversity, and amount of variation between scores in a dataset.

Key measures of dispersion:

Index of Qualitative Variation (IQV)
Range & Interquartile Range (IQR)
Variance & Standard Deviation

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2
Q

What is the IQV used for?

A

It measures the degree of variation in nominal variables.

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3
Q

What is the range of IQV?

A

0.00 (no variation) to 1.00 (maximum variation).

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4
Q

What are the steps to calculate IQV?

A

Create a frequency distribution.

Convert frequencies to percentages.

Square the percentages.

Sum the squared percentages.

Use the formula to calculate IQV.

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5
Q

What is the range?

A

The difference between the highest and lowest score.

R=HighestScore− LowestScore

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6
Q

What are the limitations of the range?

A

Only considers two scores.

Sensitive to outliers.

Provides no details about variation within the dataset.

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7
Q

What is the IQR?

A

The range of the middle 50% of scores, from Q1 to Q3.

Q=Q3−Q1

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8
Q

Why is IQR preferred over range?

A

It is not influenced by outliers.

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9
Q

What are the steps to calculate IQR?

A

Arrange data from lowest to highest.
Find the median (Q2).
Find Q1 (median of the lower half).
Find Q3 (median of the upper half).
Compute
Q
3

Q
1
Q3−Q1.

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10
Q

What do variance and standard deviation measure?

A

The average spread of data from the mean.

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11
Q

What is the difference between variance and standard deviation?

A

Variance (s^2 ) is the average of squared deviations.
Standard deviation (s) is the square root of variance.

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12
Q

What does dispersion tell us about the shape of the distribution?

A

More dispersion → Flatter curve
Less dispersion → Taller curve

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13
Q

How does standard deviation change with dispersion?

A

Small SD → Data is clustered near the mean.
Large SD → Data is spread out.

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14
Q

What factors determine which measure to use?

A

Level of Measurement (LoM)
Nominal → IQV
Ordinal → IQV, Range, IQR
Interval/Ratio → IQV, Range, IQR, Variance, Standard Deviation
Shape of Distribution
Symmetrical → Mean & SD are best
Skewed → Median & IQR are better
Research Objectives

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