GRAPHICAL DESCRIPTIVE STATISTICS FOR QUANTITATIVE DATA - PowerPoint PPT Presentation

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GRAPHICAL DESCRIPTIVE STATISTICS FOR QUANTITATIVE DATA

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Title: What is Statistics? Author: John Lawrence Last modified by: fdcmedia01 Created Date: 8/23/1998 12:37:36 PM Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: GRAPHICAL DESCRIPTIVE STATISTICS FOR QUANTITATIVE DATA


1
  • GRAPHICAL DESCRIPTIVE STATISTICS FOR QUANTITATIVE
    DATA

2
Graphical TechniquesQuantitative Data
  • Histograms
  • Consider
  • Boundaries of measurement classes
  • Choose values that are easy to read/understand
  • Number of classes will fall out
  • Where to place data occurring at break points
  • Excel in the lower interval
  • Inclusion of Outliers? unrepresentative data
    far above or far below most of the rest of the
    data
  • Seek reason for outliers
  • Relative Frequency (Percentage) Histograms
  • Cumulative Relative Frequency Ogives

3
Frequency Distributions
  • Take a Survey of Incomes of 200 High School
    Graduates 2 Years After Graduation
  • Results 31,500, 26,900, ., 26,100
  • Create Class Intervals So Data Can Convey
    Information
  • Not too many
  • Not too few
  • Include All Data (?) --- Outliers
  • Intervals of Equal Size

4
Results
  • Income Frequency Rel. Freq.
  • 15,000-20,000 9 9/200 .045
  • 20,000-25,000 34 34/200 .170
  • 25,000-30,000 91 91/200 .455
  • 30,000-35,000 61 61/200 .305
  • 35,000-40,000 5 5/200 .025

5
Histogram
6
RELATIVE FREQUENCY HISTOGRAM
Same shape as histogram different scale on
y-axis
7
EXCELDATA ANALYSIS
  • Go to Tools Menu
  • Select Data Analysis
  • What If Data Analysis Isnt There?
  • Go to Tools Menu
  • Select Add-Ins

8
EXCELHistograms
  • Basic Approach
  • Put Data in a Column
  • Create Bins (Measurement Classes)
  • Go To Tools
  • Select Data Analysis
  • Select Histogram
  • Check Chart Output

9
(No Transcript)
10
CREATE BINS
11
TOOLS/DATA ANALYSIS/HISTOGRAM
12
Histogram Dialogue Box
13
Resizing
14
Result of Resizing
15
Resulting Histogram
16
Relative Frequency
  • Proportion of Data in a Particular Class
  • Divide Frequencies by 200 gives these results

17
Relative Frequency Histogram
  • Change the numbers on the y-axis to percentages
  • Can manipulate Excel Histogram
  • Numbers on Y-axis appear in column B
  • Somewhere create a cell with the formula B2/200
    (Say in cell B12)
  • Drag down until all relative frequencies are
    shown
  • Highlight this new set of numbers and press COPY
  • Then PASTE SPECIAL (Values) these numbers back
    into cell B2
  • Erase numbers in cells B12 and below
  • Change Name in cell B1 and on Y-Axis to Relative
    Frequency

18
Creating Relative Frequencies
19
Creating Relative Frequencies
20
Cumulative Relative Frequencies
  • Give the proportion of values that are less than
    the upper boundary point of the class
  • Cumulative frequency for first class is the
    relative frequency
  • For subsequent classes cumulative frequency
    relative frequency cumulative frequency of
    previous class

21
Cumulative Relative Frequencies
22
Ogives
  • Line graph of cumulative relative frequencies
  • Begin with y-value 0 at 15,000 and draw line
    to .045 at 20,000
  • Draw line from .045 at 20,000 to .215 at 25,000
  • Draw line from .215 at 25,000 to .670 at 30,000
  • Draw line from .670 at 30,000 to .975 at 35,000
  • Draw line from .975 at 35,000 to 1 at 40,000
  • Draw line flat at 1 (to infinity)

23
Result
24
Using Ogives to Approximate Prob (Income lt
27,500)
25
EXCEL Ogives
26
(No Transcript)
27
RESULT
28
Review
  • Frequency Distributions
  • Frequency Histograms
  • Relative Frequency Distributions
  • Relative Frequency Histograms
  • Cumulative Relative Frequencies
  • Cumulative Relative Frequency Ogives
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