
Comparing measures of center and variation
Presentation
•
Mathematics
•
12th Grade
•
Easy
Kirby Pool
Used 2+ times
FREE Resource
6 Slides • 19 Questions
1
Comparing Measures of
Center and Variation
Choosing the most appropriate measures
2
Symmetric versus Skewed Data
Heights of Adults
Lengths of index fingers of 8th graders(mm)
3
Mean and Standard Deviation
Mean - the typical value (center) of the data when the distribution is roughly symmetric.
●The arithmetic average of the data
●Every data value impacts the mean
●Will be influenced by outliers
Standard Deviation - a measure of the typical distance of the observations (data) and the mean.
●Measures the spread of the distribution
●Measures the variability of a fairly symmetric distribution
●Will be influenced by outliers
4
Median and IQR
Median - the middle value in an ordered data set
●Roughly 50% of the data is below and above the median
●Measures the typical value for data in a skewed distribution
●NOT influenced by all data values
Interquartile Range (IQR) - the middle 50% of the data in a distribution
●Found by subtracting the 1st quartile (Q1) from the 3rd quartile (Q3)
●Measures the variability of a sample with a skewed distribution
5
Appropriate Measures of Center and
Variation
●
The shape of the distribution determines which measure of center
and variability are best.
●
Use the mean and standard deviation for distributions that are
unimodal and roughly symmetric.
●
Use the median and IQR for distributions with skewness or outliers.
●
The median and IQR are resistant to (unaffected by) outliers.
6
Dropdown
7
Dropdown
8
Multiple Choice
How do you find the Interquartile Range?
divide the 3rd quartile by the 1st quartile
subtract the biggest number by the smallest number
divide the biggest number by the smallest number
subtract the 3rd quartile by the 1st quartile
9
Multiple Choice
What is the outlier in this data set?
{23, 60, 30, 21, 25, 35, 29}
35
21
30
60
10
Multiple Choice
How is the graph distributed?
Normally
Skewed to the Left
Skewed to the Right
Uniform
11
Multiple Choice
Which is a normal distribution graph?
12
Multiple Choice
35 is
mean
variance
standard deviation
1st quartile
13
Multiple Choice
What is the shape of the data?
symmetrical
skewed left
skewed right
bell curve
14
Multiple Choice
What is the shape of the data?
symmetrical
skewed left
skewed right
bell curve
15
Multiple Choice
Which statement best describes this graph?
There is a peak at 47.
There is a cluster around 38-40.
The mode is 40.
There is a gap in the data between 39-40.
16
Multiple Choice
Skewed up box
Skewed to the left
Skewed to the right
17
Multiple Choice
66
58
60
64
18
Multiple Choice
Where is the gap in the data?
between 23 and 25
between 17 and 20
at 18
at 22
19
Multiple Choice
What is the interquartile of this data?
50
90
110
100
20
Multiple Choice
What is the shape of the data?
symmetrical
skewed left
skewed right
bell curve
21
Comparing Measures of Center
●
In a symmetric distribution, the mean and the median are
approximately the same.
●
In a right skewed distribution the mean tends to be greater than the
median.
●
In a left skewed distribution the mean tends to be less than the
median.
22
Drag and Drop
23
Drag and Drop
24
Fill in the Blanks
25
Multiple Choice
Which measure of variation would we use with this data?
Mean, since the data is fairly symmetric.
Median, since the data is skewed.
Standard deviation, since the data is symmetric.
IQR, since the data is skewed.
Comparing Measures of
Center and Variation
Choosing the most appropriate measures
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