S519: Evaluation of Information Systems Social Statistics Ch4: Chart.
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Transcript of S519: Evaluation of Information Systems Social Statistics Ch4: Chart.
S519: Evaluation of Information Systems
Social Statistics
Ch4: Chart
Chart
Label everything One graph communicate one idea Keep things balanced Simple is best
A picture is worth a thousand words
Frequency distribution
Frequency distribution is a method to represent the frequency of certain scores.
When you have a data set, such as a testing scores,
Class intervals Number of intervals: 5, 10, 20 Value of interval=range/number of intervals
Exercise
50 scores Set class intervals Create a histogram using your hand Using Excel to do that
Score47244417635383536101114143030323334323131151617
16151918162525262627292928292720212121242423202120
A histogram
Excel for Histogram
First, define your bins The starting point of a bin Data analysis Toolpak histogram
Skewness
Skewness (S-p98-Fig 4.15) Measure of the lack of symmetry of a distribution mean>median>mode positively skewed mean<median<mode negatively skewed
Kurtosis
Kurtosis (S-p99-Fig 4.16) flat or peaked of a distribution
Variability
Variability (S-p97-Fig 4.14)
Frequency distribution
Excel: SKEW() and KURT() As a general rule, we will conclude that the
distribution is significantly skewed or kurtotic if the statistic is greater than three times its standard error.
For example, your rule to determine if the distribution is actually skewed (to confirm your visual impression) is: IF skew > ± 3 * SE_Skewness THEN it is skewed.
SPSS can do this