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13.2: Measuring
the Center and
Variation of Data
Kalene Mitchell
Allie Wardrop
Sam Warren
Monica Williams
Alexis Carroll
Brittani Shearer
Common Core Standards

Summarize and describe distributions.

Giving quantitative measures of center (median
and/or mean) and variability (interquartile range
and/or mean absolute deviation), as well as
describing any overall pattern and any striking
deviations from the overall pattern with reference
to the context in which the data were gathered.

CCSS.MATH.CONTENT.6.SP.B.5.C

Grade 6
The Mean…

Definition: The mean or average, of a
collection of values is x̅ = S/n, where S is the
sum of the values and n is the number of
values. The symbol x̅ should read as “x bar.”

Commonly referred to as:

Average

Arithmetic mean
The Mean…

Example: Find the mean of the following
values:
13, 18, 13, 14, 13, 16, 14, 21, 13
Page 735

All 12 players on the Uni Hi basketball team
played in their 78- to-65 win over Lincoln. Jon
Highpockets, Uni Hi’s best player, scored 23
points in the game. How many points did each
of the other players average?
The Median…

Let a collection of n data values be written in order of
increasing or decreasing size.

Largest #
Smallest #

Half values above & half values below

Can be used in situations where we cannot get a proper
measurement but can only rank data in order

ex: Arrange workers in order of their performance.

A worker in the middle would represent median performance.

50% of the workers do not work as hard

50% of the workers work harder
The Median…

If n is odd, the median, denoted by x, is the
middle value in the list.


X= middle Value
If n is even, x^ is the average of the two
middle values. The symbol x^ should be read as
“x hat.”

^
X=
n1 (first middle #) + n2 (second middle # / 2)
The Median…

Example: Find the median of the following
values:
11, 13, 5, 19, 33, 12, 14, 15, 16, 11, 10, 32

If we take away one values, how would it
change the problem?
11, 13, 5, 19, 33, 12, 14, 15, 16, 11, 10
The Mode…

Definition: A value that occurs most frequently in
a collection of values.

If two values occur equally often and more
frequently than all other values, there are two or
more modes. (Bi….Tri…)

Commonly referred to as:

The number seen most often
The Mode..

Example: Find the mode of the following values:
44, 35, 36, 43, 41, 40, 35, 37, 34, 36, 37, 33, 36
Measures of Variability

Variability- how far spread out the scores or data points
are

There are four frequently used measures of variability

Range: highest minus lowest score

Interquartile range- range of middle 50% scores

Standard deviation

Variance
Upper and Lower Quartiles

Definition: Consider a set of data arranged in order of
increasing size. Let the number of data values, n, be
written as n=2r when n is even, or n=2r+1 when n is
odd, for some integer r.

The lower quartile, denoted by QL, is the median of
the first r data values.

The upper quartile, denoted by Qu, is the median of
the last r data values.
Page 737

For the given data set of this problem, determine the
lower and upper quartile.

A = (12,7,14,15,9,11,10,11,0,8,17,5)
Interquartile Range
IQR

Definition: Difference between the upper and lower
quartile

IQR= Qu - QL

In other words: 75th percentile – 25th percentile
Outlier

Definition: data value that is LESS THAN QL –(1.5 x IQR)
or GREATER THAN +(1.5 x IQR)

In other words, data points or scores that are atypical of
the other values in the data set.

So less than 25th percentile – (1.5 x 75th percentile)

Or greater than 75th percentile – (1.5 x 25th percentile)
Box Plot or Box-and-Whisker
Plot

Definition: consists of a central box extending from the
lower to the upper quartile, with a line marking the
median and with line segments, or whisker, extending
outward from the box to the extremes.
Standard Deviation

Definition: Let X1, X2, X3…..Xn be the values in a
set of data and let x denote their mean.


What it means- How far from the normal
Formula:
How to Find Standard Deviation

Step 1: Find the mean

Step 2: Find the difference each number is from the mean

Step 3:Take each difference and square it

Step 4: Add those numbers together

Step 5: Divide that sum by the total number of terms

Step 6:Take the square root of that number