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Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

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Page 1: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Today’s Lecture

Descriptive Statistics:

Measures of Central Tendency

And

Measures of Variability

Page 2: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Studies show that the more beautiful faces are the more average faces.

So variability is ugly…

Page 3: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

The “Average” Score andMeasures of Central Tendency

• A measure of central tendency ‘locates’ the distribution or histogram on the X axis.

• Remember: We are taking the

average value of a variable, so the variable must be quantitative.

• Measure #1 (of 3): The “Mean” is the sum of the scores divided by number of scores in the set (n).

Page 4: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Summation Notation

(Capital Sigma)

XXXX n

n

ii

... 211

YYYY n

n

ii

... 211

https://www.khanacademy.org/math/trigonometry/seq_induction/geometric-sequence-series/v/sigma-notation-sum

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Formula for the Mean

Page 6: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Formula for the Mean

Page 7: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Formula for the Mean

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Formula for the Mean

iX

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What if we had…

Answer:

Page 10: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Formula for the Mean

iX

Page 11: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Formula for the Mean

iX

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Other Measures of Central Tendency

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Summarizing a Distribution:“Measures of Central Tendency”

• The Median = score that divides the set of scores into two halves, "smaller" & "larger".

4, 6, 9, 3, 5, 11, 2

Median:

234569

11

"Median Position": .42

)17(

2

)1(

n

1234567

Page 14: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Summarizing a Distribution:“Measures of Central Tendency”

• The Median = score that divides the set of scores into two halves, "smaller" & "larger".

4, 6, 9, 3, 5, 11, 2

Median:

234569

11

"Median Position": .42

)17(

2

)1(

n

1234567

Page 15: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Summarizing a Distribution:“Measures of Central Tendency”

The Median = score that divides the set of scores into two halves, "smaller" & "larger".

4, 6, 9, 3, 11, 2

Median:

23469

11

"Median Position": .5.32

)16(

2

)1(

n

123456

So, take the average of the third and fourth scores in the set.

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Summarizing a Distribution:“Measures of Central Tendency”

One number to representthe entire population

The Mode = the mostfrequent score

4, 6, 4, 3, 11, 4, 3

Mode:

Page 17: Click to edit Master title style Today’s Lecture Descriptive Statistics: Measures of Central Tendency And Measures of Variability

Summarizing a Distribution:“Measures of Central Tendency”

One number to representthe entire population

The Mode = the mostfrequent score

4, 6, 4, 3, 11, 4, 3

Mode:

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Dependent Variable: Number of LegsDependent Variable: Number of LegsWhat’s the mode?What’s the mode?

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Mode?F

requ

ency

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Why 3 Different Measures of Central Tendency?

• Each has it’s advantages and disadvantages.

• The mean or median values might be rare or not even exist (so beautiful faces can be rare).

• The mode might be an ‘extreme’ on the edge of the distribution.

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Misleading Properties of the Mean

• What is the mean income of Survivor participants?

• What would the distribution look like?

Mean = $1,506, 000

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Misleading Properties of the Mean

Median = $50,000

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Misleading Properties of the Mean

Mode = $40,000

Positive Skew: Mean > Median > ModeNegative Skew: Mean < Median < Mode

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Variability(Quantitative Variables)

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Variety: the Spice of Life?Variety: the Spice of Life?

Variability in your population Variability in your population Unreliability in your sample.Unreliability in your sample.

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Demo 4…Again