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Title: A Mathematical View of Our World


1
A Mathematical View of Our World
  • 1st ed.
  • Parks, Musser, Trimpe, Maurer, and Maurer

2
Chapter 8
  • Descriptive Statistics
  • Data and Patterns

3
Section 8.1Organizing and Picturing Data
  • Goals
  • Study visual displays of data
  • Dot plots
  • Stem-and-leaf plots
  • Histograms
  • Bar graphs
  • Line graphs
  • Pie charts

4
8.1 Initial Problem
  • You need to give a sales report showing that
  • District A had 135,000 in sales.
  • District B had 85,000 in sales.
  • District C had 115,000 in sales.
  • How can you present this data clearly to compare
    the 3 districts?
  • The solution will be given at the end of the
    section.

5
Obtaining Data
  • Data sets are sets of numbers collected from the
    real world.
  • Data can be obtained from
  • Previously published research
  • A designed experiment
  • An observational study
  • A survey

6
Obtaining Data, contd
  • Once data has been collected, exploratory data
    analysis takes an initial look at data to see
    what patterns might emerge or what further
    questions need to be asked.
  • One way to carry out exploratory data analysis is
    to represent data pictorially.

7
Dot Plots
  • A dot plot is a graph in which
  • The horizontal axis represents the data values.
  • The vertical axis represents the frequency of the
    data values.
  • One dot is placed for each occurrence of each
    data value.

8
Example 1
  • Create a dot plot for the test scores 26, 32,
    54, 62, 67, 70, 71, 71, 74, 76, 80, 81, 84, 87,
    87, 87, 89, 93, 95, 96.
  • Solution Notice the scores have been arranged
    in order.
  • a. 50
  • b. 51
  • c. 52
  • d. 53

9
Stem-and-Leaf Plot
  • A stem-and-leaf plot is a graph in which
  • The digit furthest to the right is called the
    leaf.
  • The other digits are called the stem.
  • The stems and leaves are placed in vertical
    columns, with the leaves arranged in numerical
    order.

10
Example 2
  • Create a stem-and-leaf plot for the test scores
    26, 32, 54, 62, 67, 70, 71, 71, 74, 76, 80, 81,
    84, 87, 87, 87, 89, 93, 95, 96.
  • Solution The tens digits will be the stems and
    the ones digits will be the leaves.

11
Example 2, contd
  • Solution, contd The plot at right shows
  • A cluster of values between 54 and 96.
  • A gap between 54 and 32.
  • The values 32 and 26 are outliers, separated from
    the other scores by a large gap.

12
Example 3
  • Create and interpret a stem-and-leaf plot for the
    pizza prices9.20, 10.50, 10.70, 10.80,
    12.00, 12.10, 12.20, 12.20, 12.30.
  • Solution The dollar amounts will be the stems
    and the tens of cents will be the leaves.

13
Example 3, contd
  • Solution, contd The plot at right shows
  • Two clusters of prices separated by a gap.
  • The price 9.20 may be considered an outlier.

14
Histograms
  • A histogram is a graph in which
  • The data is separated into intervals called
    measurement classes or bins.
  • Various interval sizes can be chosen, depending
    on the situation.
  • A frequency table, showing the number of data
    values in each bin, can be created to aid in
    drawing a histogram.

15
Example 4
  • Create a histogram for the test scores 26, 32,
    54, 62, 67, 70, 71, 71, 74, 76, 80, 81, 84, 87,
    87, 87, 89, 93, 95, 96.
  • Solution Make a frequency table first, using
    bins of width 10.

16
Example 4, contd
  • Solution, contd Create the histogram.
  • The height of each bar is equal to the frequency
    of the bin.

17
Example 4, contd
  • Note The choice of bin size affects the
    appearance of the graph.
  • A histogram of the same data set with a bin size
    of 5 is shown next.

18
Question
  • Why is the histogram with bin size 5 not the
    best choice to represent the data set from the
    previous example? Choose the best answer.

19
Question contd
  • a. There are outliers.
  • b. There are a wide range of values.
  • c. It is hard to see the overall pattern of the
    scores.
  • d. The bars are too narrow.

20
Example 4, contd
  • A histogram of the same data set with a bin size
    of 20 is shown next.

21
Question
  • Why is the histogram with bin size 20 not the
    best choice to represent the data set from the
    previous example? Choose the best answer.
  • a. The bars are too tall.
  • b. A lot of information
  • about the data is lost.
  • c. There are a wide
  • range of values.
  • d. The frequencies of the
  • bins are not the same.

22
Relative Frequency Histograms
  • A relative frequency histogram is a graph in
    which
  • The data is separated into bins.
  • The relative frequency (percent of the whole data
    set) of each bin is calculated.
  • The height of each bar is equal to the relative
    frequency of the bin.
  • A relative frequency table can be created to aid
    in drawing a relative frequency histogram.

23
Example 5
  • Create a relative frequency histogram for the
    test scores 26, 32, 54, 62, 67, 70, 71, 71, 74,
    76, 80, 81, 84, 87, 87, 87, 89, 93, 95, 96, using
    a bin size of 10.
  • Solution Find the relative frequency of each
    bin.

24
Example 5, contd
  • Solution, contd The graph is shown below.

25
Bar Graphs
  • A bar graph is any graph in which the height or
    length of bars is used to represent quantities.
  • A histogram is a special type of bar graph.

26
Example 6
  • Create a bar graph to display the data in the
    table.

27
Example 6, contd
28
Line Graphs
  • A line graph is used to graph data values that
    occur over time.
  • The horizontal axis represents the time.
  • The vertical axis represents the data value.
  • Each data value is plotted and the dots are
    connected by a line.

29
Example 7
  • Create a line graph for the data shown in the bar
    graph below.

30
Example 7, contd
  • Solution

31
Example 8
  • Interpret the line graph shown here.

32
Example 8, contd
  • Solution The general trend in the graph is an
    increase in the number completing college,
    although there were a few years with decreases.
  • In 1980, about 17.5 completed.
  • In 2002, about 26.7 completed.
  • In order to emphasize the most recent statistic,
    the percentage for 2002 was highlighted in the
    graph.

33
Pie Charts
  • A pie chart is used to graph relative proportions
    of quantities.
  • Pie charts are also called circle graphs.
  • Each quantity is graphed as a wedge-shaped
    portion of the circle.

34
Example 9
  • The pie chart shows the average number of hours
    of sleep for a certain group of adults.
  • Interpret the chart.

35
Example 9, contd
  • Solution Most of the people sleep 7 or 8 hours
    per night.
  • Also, 6 of the people get 5 hours of sleep or
    less per night.

36
Choosing a Graph
  • The different types of graphs and their uses are
    summarized below.

37
Example 10
  • The table shows the average number of hours
    worked in different countries.
  • What type of graph would be most effective?

38
Example 10, contd
  • Solution
  • We do not need to show a trend over time or
    percentages, so rule out line graphs and pie
    charts.
  • A bar graph would make comparison between
    countries easy.
  • The categories are the countries.
  • The height of each bar will represent the number
    of hours worked per year.

39
Example 10, contd
  • Solution, contd A bar graph for the data is
    shown below.

40
8.1 Initial Problem Solution
  • You need to give a sales report showing that
  • District A had 135,000 in sales.
  • District B had 85,000 in sales.
  • District C had 115,000 in sales.
  • How can you present this data clearly to compare
    the 3 districts?
  • Either a bar graph or a pie chart allows for easy
    comparison between categories.

41
Initial Problem Solution, contd
  • A pie chart will clearly show the difference in
    proportions of sales from the different
    districts.
  • Calculate the total sales.
  • Find what portion of a circle represents each
    districts sales.
  • The results are shown at right.

42
Section 8.2Comparisons
  • Goals
  • Study comparison graphs
  • Double-stem-and-leaf plots
  • Comparison histograms
  • Multiple bar graphs
  • Multiple line graphs
  • Multiple pie charts
  • Proportional bar graphs

43
8.2 Initial Problem
  • How can the monthly sales of the 3 items be
    presented to show and compare the sales trends?
  • The solution will be given at the end of the
    section.

44
Double-Stem-and-Leaf Plots
  • A double-stem-and-leaf plot compares two data
    sets.
  • The stems are placed in the middle column.
  • The leaves of one data set are placed on the
    left, and the leaves of the other set on the
    right.

45
Example 1
  • Create a double-stem-and-leaf plot to compare
    scores from the two classes.
  • Class 1 26, 32, 54, 62, 67, 70, 71, 71, 74, 76,
    80, 81, 84, 87, 87, 87, 93, 95, 96
  • Class 2 34, 45, 52, 57, 63, 65, 68, 70, 71, 72,
    74, 76, 76, 78, 83, 85, 85, 87, 92, 99

46
Example 1, contd
  • Solution Since more leaves are at the top on the
    left than on the right, it appears that Class 1
    did somewhat better on the test than Class 2.

47
Question
  • Choose the statement that is not true.
  • a. Class 1 had more low scores than Class 2.
  • b. Class 2 has a larger
  • gap than Class 1.
  • c. Class 2 has fewer
  • scores in the 80s and
  • 80s than Class 1.
  • d. Class 2 has a higher
  • score than Class 1.

48
Comparison Histogram
  • A comparison histogram compares two data sets.
  • The same bin size is chosen for both sets.
  • Bars for both sets are placed side-by-side in
    each interval, where necessary.

49
Example 2
  • Create a comparison histogram to compare the
    scores from the two classes.
  • Class 1 26, 32, 54, 62, 67, 70, 71, 71, 74, 76,
    80, 81, 84, 87, 87, 87, 93, 95, 96
  • Class 2 34, 45, 52, 57, 63, 65, 68, 70, 71, 72,
    74, 76, 76, 78, 83, 85, 85, 87, 92, 99

50
Example 2, contd
  • Solution A bin size of 10 was used.

51
Comparison Bar Graphs
  • A comparison bar graph compares two data sets.
  • As before, bar graphs can be used to represent
    frequencies, relative frequencies, and trends
    over time.
  • This type of graph is also called a double bar
    graph.

52
Example 3
  • Create a comparison bar graph for the two data
    sets.

53
Example 3, contd
54
Question
  • Choose the statement that is true.

55
Question contd
a. The ratio of female to male doctors is largest
in the field of pediatrics. b. The field with the
fewest female doctors is family practice. c. The
field with the most male doctors is family
practice. d. There are more females in the field
of obstetrics and gynecology than there are men.
56
Example 4
  • This comparison bar graph shows that the majority
    of kids in all age groups have access to
    computers, and that older children use the
    Internet more than younger children.

57
Multiple Line Graphs
  • A multiple line graph compares two data sets.
  • As before, line graphs are usually used to
    represent trends over time.

58
Example 5
  • The double line graph shows that the gap between
    mens and womens earnings has decreased over the
    years.

59
Example 6
  • Create a double line graph to compare the scores
    from the two classes.
  • Class 1 26, 32, 54, 62, 67, 70, 71, 71, 74, 76,
    80, 81, 84, 87, 87, 87, 93, 95, 96
  • Class 2 34, 45, 52, 57, 63, 65, 68, 70, 71, 72,
    74, 76, 76, 78, 83, 85, 85, 87, 92, 99

60
Example 6, contd
61
Multiple Pie Charts
  • A multiple pie chart compares two data sets.
  • As before, pie charts are used to show portions
    of a whole.

62
Example 7
  • Use multiple pie charts to compare the
    composition of the population over time.

63
Example 7, contd
  • Solution A pie chart is created for each year.

64
Question
  • Which year had the smallest percentage of
    children under the age of 15?

65
Proportional Bar Graphs
  • Proportional bar graphs show relative amounts and
    trends simultaneously.
  • All the bars are the same height.
  • Each bar corresponds to 100 of a whole.
  • Each bar is divided into pieces to represent the
    portions of the different categories.

66
Example 8
  • The proportional bar graph illustrates how the
    U.S. population has been distributed among 4
    regions over time.

67
Choosing a Graph
  • The type of comparison graph selected depends on
  • The type of data.
  • The features of the data that will be emphasized.

68
Example 9
  • What type of graph could be used to make the
    comparison between the two years in the following
    table striking?

69
Example 9, contd
70
Example 9, contd
  • Solution A double bar graph

71
8.2 Initial Problem Solution
  • How can the monthly sales of the 3 items be
    presented to show and compare the sales trends?

72
Initial Problem Solution, contd
  • Use a multiple line graph in order to
  • Show trends in sales over time.
  • Allow for comparison between items.

73
Initial Problem Solution, contd
74
Section 8.3Enhancement, Distraction,and
Distortion
  • Goals
  • Study misleading graphs
  • Study scales and axis manipulation
  • Study line graphs and cropping
  • Study three-dimensional effects
  • Study pictographs
  • Study graphical maps

75
8.3 Initial Problem
76
8.3 Initial Problem, contd
  • Use the data to make one graph that is
    pessimistic about the debt and one that is
    optimistic.
  • The solution will be given at the end of the
    section.

77
Scaling and Axis Manipulation
  • To emphasize differences among the bars of a
    histogram or bar graph, you can leave off part of
    the vertical axis.
  • Reversing the axes or the orientation of one of
    the axes is another way to create a misleading
    graph.

78
Example 1
  • The graph appears to show that Beary Sticks has
    far less sugar than the other cereals.

79
Example 1, contd
  • The first graph was misleading because the scale
    is not shown and the axis actually begins at 8,
    not at 0.
  • A better graph is shown here.

80
Example 2
  • The price of 3 brands of baked beans are as
    follows.
  • Brand X 0.79
  • Brand Y 0.89
  • Brand Z 0.99
  • Create a bar graph that emphasizes the
    differences in the prices.

81
Example 2, contd
  • Solution Exaggerate the differences by starting
    the vertical scale at 75 cents instead of at 0.

82
Example 3
  • This bar graph shows that a companys profits
    decline over time.

83
Example 3, contd
  • When the axes are switched and the years are
    placed in reverse order, the graph has a more
    positive feel and may be misleading.

84
Question
  • Estimate the total decrease in the company
    profits from 1999 to 2003.
  • a. -140
  • b. -240
  • c. -140,000,000
  • d. -240,000,000

85
Example 4
  • Create a graph for the data that might give the
    impression that things are getting better rather
    than worse.

86
Example 4, contd
  • Solution
  • The years are placed in reverse order.
  • The vertical scale is started at 20.
  • The graph is drawn tall and narrow.

87
Line Graphs and Cropping
  • A type of scale manipulation used to make line
    graphs misleading is called cropping.
  • A viewing window is chosen in order to make a
    trend look more or less impressive.
  • Examples are shown on the following slide.

88
Cropping, contd
89
Example 5
  • Draw two line graphs of the data that give
    different impressions.

90
Example 5, contd
  • Solution Begin one vertical axis at 0 and the
    other at 24.

91
Example 6
  • A graph of the price of a stock from April 25
    through May 5 seems to show a large increase.
  • Notice that the vertical axis begins at 98.

92
Example 6, contd
  • Another graph of the same stock over a longer
    time period seems to show a gradual decline
    overall.
  • Notice that the vertical axis begins at 0 in this
    graph.

93
Example 6, contd
  • The final graph shows the same information as in
    the last graph, but with a different choice of
    vertical scale.
  • The decrease is more dramatic because the
    vertical axis begins at 100.

94
Three-Dimensional Effects
  • Three-dimensional effects
  • Are often used in newspapers and magazines.
  • Can make a graph more attractive.
  • Can obscure a true picture of the data.

95
Example 7
  • It can be difficult to read exact values from a
    3-D graph.
  • For example, the profits were almost 100,000 in
    2003 but it might appear much lower from glancing
    at this graph.

96
Example 8
  • It is also hard to read exact values from this
    3-D line graph.

97
Example 9
  • In a 3-D pie chart, the exploded sector has more
    emphasis, making it appear larger than it really
    is.

98
Pictographs
  • A pictograph is a type of graph in which
    pictures, symbols, or icons represent quantities.
  • Pictographs can represent data in interesting
    ways, but they can also be misleading.

99
Example 10
  • This pictograph predicts the world population.
  • Each person icon represents 1 billion people.

100
Example 11
  • Each hotdog represents 10 of campers.

101
Example 12
  • This pictograph compares amounts spent on
    different types of holiday gifts.

102
Example 13
  • Why is this pictograph misleading?

103
Example 13, contd
  • Solution The bars are not proportional in height
    to the amounts they represent.
  • For example, there were nearly 4 times as many
    students in grades 1-8 as there were in
    pre-elementary.
  • The bar representing grades 1-8 is only about 3
    times as tall as the one representing
    pre-elementary students.
  • This causes the difference to look smaller than
    it really is.

104
Example 14
  • Why is this pictograph misleading?

105
Example 14, contd
  • Solution The bars are not proportional to the
    amounts they represent.
  • The bars are also angled, emphasizing the length
    of the top bar and making the bottom bar look
    shorter.

106
Question
  • If the graph were accurate, what should be the
    ratio of the bar representing under 25 to the
    one representing 35-44? Round to the nearest
    hundredth.
  • a. 0.43
  • b. 1.29
  • c. 1.81
  • d. 2.33

107
Example 15
  • Why is this pictograph misleading?

108
Example 15, contd
  • Solution It must be clear whether a
    2-dimensional or 3-dimensional object is being
    used to represent a quantity.
  • The amount of milk sold in 2003 was about twice
    the amount sold in 1997.
  • It is not clear whether the volume or the height
    of the carton represents the milk quantity.
  • The volume of the second carton is 8 times as
    large as the volume of the first carton. This is
    misleading.

109
Example 16
  • Why is this pictograph misleading?

110
Example 16, contd
  • Solution The number of bottles in each stack are
    not proportional to the actual dollar amounts.
  • The heights of the stacks are proportional.
  • It is not clear from the presentation whether it
    should be viewed as a bar graph or as a
    pictograph.

111
Customized Pie Charts
  • Pie charts can be customized by embedding the
    chart in another picture or by adding other
    content.
  • An example of a customized pie chart is shown on
    the next slide.

112
Example 17
113
Example 18
  • This pie chart distorts the data.

114
Graphical Maps
  • A graphical map summarizes information about
    geographical areas.

115
Example 19
  • The map below shows population increases.

116
Example 19, contd
  • The map is misleading because the areas of the
    shaded regions are not proportional to the
    population increases.
  • Some small states experienced large increases,
    but that may not show up well on this map.

117
8.3 Initial Problem Solution
  • Create 2 different graphs of the data.

118
Initial Problem Solution, contd
  • To make the debt appear as serious as possible,
    we can plot the amount over time.
  • Adjust the scales to make the increase look
    severe.

119
Initial Problem Solution, contd
  • To make the debt appear less serious, we can plot
    the annual rate of increase instead of the actual
    amount.
  • It looks like the debt is decreasing.
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