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Density Functional Theory

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CENTRAL TENDENCY: Mean, Median, Mode

New Statistical Notation


Σ : sigma
– The symbol Σ means to sum (add) the scores

Central Tendency

What Is Central Tendency?
• A score that indicates where the center of the distribution tends to be located. • Tells us about the shape and nature of the distribution. d b

Measures of Central Tendency
• Mode • Median • Mean

The Mode
• The most frequently occurring score. • Typically useful in describing central tendency when the scores reflect a nominal scale of measurement. l f

The Mode
• It does not make sense to take the average in nominal data.
– Gender: 67 males --- 1 50 females ---- 2

14 13 14

14 10 15

13 12 17

15 13 14

11 14 14

15 13 15

Score S
17 16 15 14 13 12 11 10

f
1 0 4 6 4 1 1 1

What is the mode?

N=18

Unimodal Distributions
When Wh a polygon h l has one hump (such as on the normal curve) the distribution is called

unimodal.

14 15 15

14 10 15

13 12 17

15 13 12

11 12 15

12 13 12

Score S
17 16 15 14 13 12 11 10

f
1 0 5 2 3 5 1 1

What is the mode?

N=18

Bimodal Distributions
When distribution Wh a di ib i has two scores that are most frequently occurring, it is called d bimodal.

Example
Score S
7 6 5 4 3 2 1

f
1 4 5 4 6 7 9 N=36

What is the mode?

Uses of The Mode
• In nominal data
– Since we cannot use mean or median

• Also in ordinal, interval or ratio data, along with mean and median ih d di

Problems with The Mode
• Gives us limited information about a distribution
– Might be misleading g g – EXP: 7 7 7 20 20 21 22 22 23 24
• What is the mode here?

The Median (Mdn)
• The score at the 50th percentile, (in the middle) • Used to summarize ordinal or highly skewed interval or ratio scores scores.

Determining the Median
• When data are normally distributed, the median is the same score as the mode. h h d • When data are not normally distributed, follow the W y , following procedure:
– Arrange the scores from highest to the lowest. – If there are an odd number of scores, the median is the p score in the middle position. – If there are an even number of scores, the median is the average of the two scores in the middle.

The Median (Mdn)
• A better measure of central tendency than mode
– Only one score can be the median – It will always be around where the most scores are.

• EXP: 1 2 3 3 4 7 9 10 11 • EXP: 1 2 3 3 4 6 7 9 10 11 0

14 13 14

14 10 15

13 12 17

15 13 14

11 14 14

15 13 15

Score S
17 16 15 14 13 12 11 10

f
1 0 4 6 4 1 1 1

What is the median?

N=18

The Mean
• The score located at the mathematical center of a distribution • U d t summarize interval or ratio data in Used to i i t l ti d t i situations when the distribution is symmetrical and unimodal

Determining the Mean
• The formula for the sample mean is

ΣX X= N

14 13 14

14 10 15

13 12 17

15 13 14

11 14 14

15 13 15

Score S
17 16 15 14 13 12 11 10

f
1 0 4 6 4 1 1 1

What is the mean?

N=18

Central Tendency and Normal Di ib i N l Distributions
On a perfect normal distribution all three measures of central tendency are located at the same score. h

Central Tendency
• Measures of Central Tendency:
– Mean
• The sum of all scores divided by the number of y scores.

– Median
• The score in the middle when the scores are ordered.

– Mode
• The most frequent score.

Central Tendency and Skewed Distributions

Measures Measurement you Scale CAN use Nominal Mode Ordinal Interval Mode Median Mode Median Mean Mode Median Mean

Best Measure of the "Middle" Mode Median Symmetrical data: Mean Skewed data: Median Symmetrical data: Mean Skewed d Sk d data: Median M di

Ratio

Deviations Around the M th Mean

Deviations
• A score’s deviation is the distance separate the score from the mean
– ∑ = (X – Xbar)

• The sum of the deviations around the mean always equals 0.

More About Deviations
• When using the mean to predict scores, a ( (X− ) deviation (X- X bar)Xindicates our error in prediction. • A deviation score indicates a raw score’s location and frequency relative to the rest of the distribution.

Example 1
• Find the mean, median and mode for the set of scores i the f in h frequency di ib i table b l distribution bl below X f 5 2 4 3 3 2 2 2 1 1

Example 2
• •


The following data are representing verbal comprehension test scores of males and f h i f l d females. l Female: 26 25 24 24 23 23 22 22 21 21 21 20 20 Male: 20 19 18 17 22 21 21 26 26 26 23 23 22
Calculate mean, mode, median, for both males and females separately. – What kind of distribution is this?

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