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Title: Beyond the Basics of Measures of Center
Description: This is a class lecture about Beyond the Basics of Measures of Center. You can learn about the following: • Mean from a Frequency Distribution • Weighted Mean • Skewed and Symmetric • Shape of the Distribution

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BEYOND THE BASICS OF
MEASURES OF CENTER
(Class Lecture in Statistics)

Part 4

3
...


3
...
1 - 3

Example of Computing the
Mean from a Frequency
Distribution
Heights (inches) of 25 Women
67

64

65

65

64

59

67

67

72

65

64

62

66

67

66

60

70

68

61

64

60

68

65

66

62

3
...
)
Frequency distribution of heights of
women
HEIGHT
FREQUENCY
59-60

3

61-62

3

63-64

4

65-66

7

67-68

6

69-70

1

71-72

1

Class midpoints are:

59
...
5, 63
...
5, 67
...
5, 71
...
1 - 5

Example (cont
...
5)  3(61
...
5)  7(65
...
5)  1(69
...
5)
25

 1621
...
86
3
...


x =

(w • x)
w

3
...

Suppose a student makes
homework/quiz average 87, exam
scores of 80 and 92, and final exam
score 85
...

3
...
10(87)  0
...
30(92)  0
...
8

1
...
1 - 9

Skewed and Symmetric

 Symmetric
distribution of data is symmetric if the
left half of its histogram is roughly a
mirror image of its right half

 Skewed
distribution of data is skewed if it is not
symmetric and extends more to
one
side than the other

3
...
1 - 11

Shape of the Distribution
The mean and median
cannot always be used to
identify the shape of the
distribution
...
1 - 12

Shape of the Distribution
• Consider the data:
5 5 5 5 5 10 10 10 10 10 10 15 15 15 15 15
20 20 20 20 25 25 25 30 30 30 35 35 40 45


Mean:

x 560

x

 18
...
1 - 13

Distribution Skewed Left



Outliers that are much less than the median

3
...
1 - 15

Distribution Skewed Right



Outliers that are much more than the median

3
...
1 - 17


Title: Beyond the Basics of Measures of Center
Description: This is a class lecture about Beyond the Basics of Measures of Center. You can learn about the following: • Mean from a Frequency Distribution • Weighted Mean • Skewed and Symmetric • Shape of the Distribution