organizing and presenting data n.
Download
Skip this Video
Loading SlideShow in 5 Seconds..
Organizing and Presenting Data PowerPoint Presentation
Download Presentation
Organizing and Presenting Data

Loading in 2 Seconds...

play fullscreen
1 / 20

Organizing and Presenting Data - PowerPoint PPT Presentation


  • 122 Views
  • Uploaded on

Organizing and Presenting Data. GTECH 201 Session 11. Terminology. Classes Categories for grouping data Frequency Number of observations that fall in a class (frequency is a count) Frequency Distribution A listing of all classes along with their frequencies Relative Frequency

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

Organizing and Presenting Data


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
    Presentation Transcript
    1. Organizing and Presenting Data GTECH 201 Session 11

    2. Terminology • Classes • Categories for grouping data • Frequency • Number of observations that fall in a class (frequency is a count) • Frequency Distribution • A listing of all classes along with their frequencies • Relative Frequency • The ratio of the frequency of a class to the total number of observations • Relative Frequency Distribution • A listing of all classes along with their relative frequencies • Width/Class Interval • The difference between the upper and lower cut points (breaks) of a class

    3. Organizing Data • Classification Rules • Aim is to create categories or classes • First step is to compute range • Range = Largest Value – Smallest Value • Interval or Ratio Scale data only • Class Intervals • Width of Class Interval • Equal based on range • Unequal based on range • Quantile (Quartile or Quintile) • Natural

    4. Classification Methods • Natural breaks • Quantile • Manual • Equal interval

    5. How to Decide(on a classification scheme) • Rule of thumb: 3 - 7 classes • Classification histogram (see later today)

    6. How to Decide, part II

    7. Graphs • Line graph • Bar graph • Scatterplots

    8. Creating a Line Graph • The growth of the population of students at a Midwestern university is as follows

    9. Line Graph

    10. Bar Graphs • Here are data on the percent of females among people earning doctoral degrees in 1990, in several different fields of study

    11. Bar Graph

    12. Scatter Plots • Graph bi-variate data when both variables are measured in an interval/ratio or ordinal scale • Units for one variable are marked on the horizontal axis • Independent variable should always go on the horizontal, x axis

    13. Scatterplots • Survey of 3368 people asking them to estimate number of calories in common foods.

    14. Example • A city planner collected data on the number of school age children in each of 30 families. • Construct a grouped data table using classes based on a single value

    15. Computing Frequency • There are three ways you can create classes • a < but not equal to b b < but not equal to c • a – b, c – d, e - f • single value grouping

    16. Distributions • Histograms • Difference between histograms and bar graphs • Bars in a histogram are always vertical • Base scale is marked off in equal units; there is no base scale in a bar graph • Width of bars in a histogram have meaning • Bars in a histogram touch each other

    17. Constructing a Histogram • Histogram – height of bar equal to frequency of class represented • Bar extends from lowest value to highest value of the class

    18. Histogram Chart

    19. Frequency Polygons • Similar to a histogram • Midpoint of the class is indicated • Points connected by straight lines • Cumulative frequency polygon, ogive