Title: Warm Up
1Warm Up Calculate the mean, median, mode and
range. 1. 2. 3. Use the data below to
make a stem-and-leaf plot. 7, 8, 10, 18, 24,
15, 17, 9, 12, 20, 25, 18, 21, 12
34, 62, 45, 35, 75, 23, 35, 65
1.6, 3.4, 2.6, 4.8, 1.3, 3.5, 4.0
2A measure of central tendency describes the
center of a set of data. Measures of central
tendency include the mean, median, and mode.
- The mean is the average of the data values, or
the sum of the values in the set divided by the
number of values in the set.
- The median the middle value when the values are
in numerical order, or the mean of the two middle
numbers if there are an even number of values.
3- The mode is the value or values that occur most
often. A data set may have one mode or more than
one mode. If no value occurs more often than
another, we say the data set has no mode.
The range of a set of data is the difference
between the least and greatest values in the set.
The range describes the spread of the data.
4Mean, median, mode, range Calculator
- Test Scores
- 92, 84, 95, 77, 74, 80, 95, 70, 66, 73, 68, 90,
78, 64, 72, 78, 76, 65, 59, 77
- Type the values into
- Stat
- Edit
- Calculate
- Stat
- over to calculate
- 1 var stats
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6Check It Out! Example 1 Continued
The weights in pounds of five cats are 12, 14,
12, 16, and 16. Find the mean, median, mode, and
range of the data set.
7A value that is very different from the other
values in a data set is called an outlier. In
the data set below one value is much greater than
the other values.
Most of data
Mean
Much different value
8Additional Example 2 Determining the Effect of
Outliers
Identify the outlier in the data set 16, 23,
21, 18, 75, 21 Also determine how the outlier
affects the mean, median, mode, and range of the
data.
9Check It Out! Example 2
Identify the outlier in the data set 21, 24,
3, 27, 30, 24 Also determine how the outlier
affects the mean, median, mode and the range of
the data.
10As you can see in Example 2, an outlier can
strongly affect the mean of a data set, having
little or no impact on the median and mode.
Therefore, the mean may not be the best measure
to describe a data set that contains an outlier.
In such cases, the median or mode may better
describe the center of the data set. Example
Our classes test scores
11Additional Example 3 Choosing a Measure of
Central Tendency
Rico scored 74, 73, 80, 75, 67, and 54 on six
history tests. Use the mean, median, and mode of
his scores to answer each question.
A. Which measure best describes Ricos scores?
B. Which measure should Rico use to describe his
test scores to his parents? Explain.
12Check It Out! Example 3
Josh scored 75, 75, 81, 84, and 85 on five tests.
Use the mean, median, and mode of his scores to
answer each question.
a. Which measure describes the score Josh
received most often?
b. Which measure best describes Joshs scores?
Explain.
13Measures of central tendency describe how data
cluster around one value. Another way to describe
a data set is by its spreadhow the data values
are spread out from the center.
Quartiles divide a data set into four equal
parts. Each quartile contains one-fourth of the
values in the set. 1st quartile (median lower
half) 2nd quartile (median) 3rd quartile (median
upper half)
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15The interquartile range (IQR) of a data set is
the difference between the third and first
quartiles. It represents the range of the middle
half of the data.
16A box-and-whisker plot can be used to show how
the values in a data set are distributed. You
need five values to make a box and whisker plot
the minimum (or least value), first quartile,
median, third quartile, and maximum (or greatest
value). These 5 values are called the 5 number
summary
17Additional Example 4 Application
The number of runs scored by a softball team in
19 games is given. Use the data to make a
box-and-whisker plot.
3, 8, 10, 12, 4, 9, 13, 20, 12, 15, 10, 5, 11,
5, 10, 6, 7, 6, 11
18Additional Example 4 Continued
19Check It Out! Example 4
Use the data to make a box-and-whisker plot.
13, 14, 18, 13, 12, 17, 15, 12, 13, 19, 11, 14,
14, 18, 22, 23
20Additional Example 5 Reading and Interpreting
Box-and-Whisker Plots
The box-and-whisker plots show the number of mugs
sold per student in two different grades.
A. About how much greater was the median number
of mugs sold by the 8th grade than the median
number of mugs sold by the 7th grade?
21Additional Example 5 Reading and Interpreting
Box-and-Whisker Plots
B. Which data set has a greater maximum? Explain.
22Check It Out! Example 5
Use the box-and-whisker plots to answer each
question.
A. Which data set has a smaller range? Explain.
23Check It Out! Example 5
Use the box-and-whisker plots to answer each
question.
B. About how much more was the median ticket
sales for the top 25 movies in 2007 than in 2000?
24A dot plot is a data representation that uses a
number line and xs, dots, or other symbols to
show frequency. Dot plots are sometimes called
line plots.
A dot plot gives a visual representation of the
distribution, or shape, of the data. The dot
plots in Example 1 have different shapes because
the data sets are distributed differently.
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26 Example 1 and 2 Making a Dot Plots and Shapes
of Distribution
Gloria is collecting different recipes for
chocolate chip cookies. The table shows the cups
of flours needed in the recipes. Make a dot plot
showing the data. Determine the distribution of
the data and explain what the distribution means.
27Example 1 and 2 Continued
Find the least and greatest number in the cups of
flour data set. Then use the values to draw a
number line. For each recipe, place a dot above
the number line for the number of cups of flour
used in the recipe.
Amount of Flour Recipes
Cup
28Example 1 and 2 Continued
The distribution is skewed to the right, which
means most recipes require an amount of flour
greater than the mean.
29Check It Out! Example 1
The cafeteria offers items at six different
prices. John counted how many items were sold at
each price for one week. Make a dot plot of the
data.
30Check It Out! Example 2
Data for team C members are shown below. Make a
dot plot and determine the type of distribution.
Explain what the distribution means.