Measure of Central Tendency Measures of central tendency – used to organize and summarize data so...
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Transcript of Measure of Central Tendency Measures of central tendency – used to organize and summarize data so...
Measure of Central TendencyMeasures of central tendency – used to
organize and summarize data so that you can understand a set of data. There
are three common measures:Mean
MedianMode
Mean
Mean = sum of the data itemstotal number of data items
The symbol for the mean is Use the mean to describe the middle set of
data that DOES NOT have an outlier.Outlier – a data value that is much higher
or much lower than the other data values in the set.
Often referred to as the average.
MedianMedian – the middle value in the set when the
numbers are arranged in order.
If a set contains an even number of data items, the median is the mean of the two middle values.
Use to describe the middle of a set of data that DOES have an outlier.
Mode
Mode – the data item that occurs the most times.
Possible for a set of data to have no mode, one mode, or more than one mode.
Use the mode when the data are nonnumeric or when choosing the most popular item.
Range
• To calculate the range subtract the smallest data value from the largest data value.
• Example: 21, 15, 16, 25, 13, 18Range = 21 – 13 = 8
Examples• Find the mean, median, and mode. Which measure of central
tendency best describes the data.
Weights of textbooks in ounces:12, 10, 9, 15, 16, 10Mean = 12 + 10 + 9 + 15 + 16 + 10 = 72 = 12
6 6Median: 9, 10, 10, 12, 15 16 = 10 + 12 = 22 = 11
2 2Mode: 9, 10, 10, 12, 15 16 = 10
Since there is no outlier, the mean best describe the data
Range = 16 – 9 = 7
Mean Absolute Deviation (M A D) This measure averages the
absolute values of the errors.
List your data set (x) Find the mean of your data ( )
Find (x – ) Find |(x – )|
Find the sum of ∑|(x – )|.
Divide your sum by the total of your sample size (n)…
The mean absolute deviation is….
Math I Unit 4 Calculating the Mean Absolute Deviation (MAD)
Box-and-whisker plot (Boxplot)• A box-and-whisker plot is a visual way of
showing median values for a set of data.• The lower quartile (Q1) represents one quarter
of the data from the left and the upper quartile represents three quarters (Q3) of the data from the left.
• The five important numbers in a box-and whiskers plot are the minimum and maximum values, the lower and upper quartiles, and
the median.• The interquartile range = Q3 – Q1
How to construct Boxplot
Steps:1) Make a number line using equal interval
(from the minimum to the maximum value)2) Calculate the median Q23) Calculate Q1 = median of the first quarter4) Calculate Q3 = median of the third quarter5) Make a box connecting the quartile6) Draw a line from the minimum value to Q1
and another from Q3 to the maximum value
Example 4,6,8,10,12Minimum value = 4Median = 8Q1 = (4 + 6) ÷ 2 = 5Q3 = (10 + 12) ÷ 2 = 11Maximum value = 12Interquartile range = 11 – 5 = 6
Median( )
4 6 8 10 12
Xlargest
Xsmallest 1Q 3Q
2Q
Shape of a Distribution• Describes how data is distributed• Measures of shape
– Symmetric or skewed– See how mean compares to median, and possibly the
mode
Mean = Median(=Mode?) Mean < Median(< Mode?) (Mode<?) Median < Mean
Right-SkewedLeft-Skewed Symmetric
Distribution Shape and Box-and-Whisker Plot
Right-Skewed(positive)Mean>median
Left-Skewed(negative)Mean < median
Symmetric(zero)
1Q 1Q 1Q2Q 2Q 2Q3Q 3Q3Q