Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as...

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Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Transcript of Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as...

Page 1: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Today’s Questions

• How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Page 2: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

• Central tendency: most “typical” or common score

(a) Mode

(b) Median

(c) Mean

Page 3: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

1. Mode: most frequently occurring score

10, 20, 30, 40, 40, 50, 60

Mode = 40

Page 4: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

2. Median: the value at which 1/2 of the ordered scores fall above and 1/2 of the scores fall below

1 2 3 4 5 1 2 3 4

Median = 3 Median = 2.5

Page 5: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

x = an individual score

N = the number of scores

Sigma or = take the sum

• Note: Equivalent to saying “sum all the scores and divide that sum by the total number of scores”

xN

MX1__

3. Mean: The “balancing point” of a set of scores; the average

Page 6: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

A

B

C D E

3 4 5 6 7 8 9

(-1)

(-2)

(-2) (+4)

(+1)

(– 1) + (– 2) + (– 2) + 1 + 4 = 0

Page 7: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

A

B

C D E

3 4 5 6 7 8 9

(+2)

(-1)

(-3)

(- 4)

(- 4)

(– 1) + (– 3) + (– 4) + (– 4) + 2 = –10

Page 8: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

0Mx We begin by noting that, when we have found a proper balancing point, the sum of all the mean deviations is 0.00.

What we want to do next is solve this equation for M.

Page 9: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

0Mx We first distribute the summation operation and

Mx move one term to the right-hand side.

Page 10: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

MNx Next, we note that the sum of a bunch of M’s is simply the number of M’s (N) times M.

MN

x If we divide both sides by N, we find

that the balancing point is equal to the sum of all the scores, divided by the total number of scores.

Page 11: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

Mean = 30/10 = 3

Page 12: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

When the distribution of scores is normal, the mode = median = mean

Mean

Median

Mode

Page 13: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

Mode = 2

Median = 2.5

Mean = 2.7

When scores are positively skewed, mean is dragged in direction of skew and mode < median < mean

When scores are negatively skewed, mean is dragged in direction of skew and mode > median > mean

Page 14: Today’s Questions How can we summarize a distribution of scores efficiently using quantitative (as opposed to graphical) methods?

Measures of Central Tendency

• The most commonly used measure of central tendency is the mean

• Why?– It uses all the information in the scores– Can be algebraically manipulated with ease