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Charts and Graphs Chapter 2 MSIS 111 Prof. Nick Dedeke Objectives Understanding data presentation Discrete versus continuous data Differentiate between grouped and ... – PowerPoint PPT presentation

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Title: Charts and Graphs


1
Charts and Graphs
  • Chapter 2
  • MSIS 111 Prof. Nick Dedeke

2
Objectives
  • Understanding data presentation
  • Discrete versus continuous data Differentiate
    between grouped and ungrouped data
  • Construct frequency distributions
  • Construct histogram, frequency polygon and other
    charts

3
Types of Variables
  • Discrete variables have parameters that are whole
    numbers only, e.g. 3 cars, 5 cars, 6 cars , 7
    cars, 9 cars, 11 cars
  • Continuous variables have parameters that allow
    both whole numbers and decimal numbers, e.g.
    1.2, 1.4, 4.2

4
Exercise Using Frequency Distribution for
Discrete Data
  • What is the average of these dimension data (all
    observations number of houses)?1,1,1,1,1,1,1,12
    ,2,2,2,2,2,2,24,4,5,5,6,6,8,89,9,9,
    10,10,10,10,10,1011,11,11

5
Data Presentation
  • One of the characteristics of good statistics is
    the fact that everyone uses the same approach to
    organize data.
  • The approaches used are called tools of
    descriptive statistics

6
Xi Frequency (Fi) Relative Frequency (fi)
1 inches 8 8/36
2 inches 8 8/36
4 inches 2 2/36
5 inches 2 2/36
6 inches 2 2/36
8 inches 2 2/36
9 inches 3 3/36
10 inches 6 6/36
11 inches 3 3/36
? 36 1
7
Problem Frequency Distribution for Continuous
Data
  • What is the average of these continuous data (all
    observations in inches)?1.6,1.5,1.2,1.4,1.6,1.2,
    1.6,1.62.1,2.7,2.3,2.5,2.8,2.9,2.8,2.94.2,4.6,5.
    2,5.4,6.1,6.5,,7.6,8.3,8.69.6,9.1,9.6,10.0,10.5,1
    0.6,10.8,10.3,10.4,11.8,11.8,11.8, 12.3,12.4,12.5

8
Exercise Frequency Distribution for Continuous
Data
  • Range Largest Smallest number
    12.5 1.2 11.3Set number of classes to use
    to group data 6 classesClass width 11.3/6
    1.88 or 2Class width of 2 means that one builds
    classes where the difference between the highest
    and lowest number in each class is 2

9
Class Width
650
750
700
Lowercutpoint
Uppercutpoint
Midpoint
10
Exercise Frequency Distribution for Grouped Data
Class interval Frequency (Fi) Relative Frequency (fi)
1 3) inches 16 16/40
3 5) inches 2 2/40
5 7) inches 4 4/40
7 9) inches 3 3/40
9 11) inches 9 9/40
11 13) inches 6 6/40
? 40 1
11
Types of ChartsPie Charts
12
Types of Charts Oglive
13
Types of Charts Histograms
14
Graph Box-plots
IQR
  • Vertical line in box represents median
  • Left end of box depicts the 25th percentile (1st
    quartile)
  • Right end of box depicts the 75th percentile (2nd
    quartile)
  • Horizontal line from each end of box are drawn to
    the most extreme data points (only those no
    farther than 1.5 Inter quartile range (IQR))

1Q 2Q 3Q 4Q
75th percentile
25th percentile
50th percentile
15
Graph Box-plots vs. Histograms
  • Vertical line in box represents median
  • Left end of box depicts the 25th percentile (1st
    quartile)
  • Right end of box depicts the 75th percentile (2nd
    quartile)
  • Horizontal line from each end of box are drawn to
    the most extreme data points ( no farther than
    1.5 Inter quartile range (IQR)

1Q 2Q 3Q 4Q
25th percentile
75th percentile
50th percentile
Frequency
1Q 2Q 3Q 4Q
X
Median
16
Simulations
  • Box plots vs. histograms
  • Hints
  • Match extreme values
  • Match the length of the inter quartile range or
    the middle 50 of the data to histogram
  • Use the pattern of the data to visualize the
    position of the median
  • Median moves forward
  • Median moves backwards
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