S519: Evaluation of Information Systems Social Statistics Ch4: Chart.

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S519: Evaluation of Information Systems Social Statistics Ch4: Chart

Transcript of S519: Evaluation of Information Systems Social Statistics Ch4: Chart.

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S519: Evaluation of Information Systems

Social Statistics

Ch4: Chart

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Chart

Label everything One graph communicate one idea Keep things balanced Simple is best

A picture is worth a thousand words

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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

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Exercise

50 scores Set class intervals Create a histogram using your hand Using Excel to do that

Score47244417635383536101114143030323334323131151617

16151918162525262627292928292720212121242423202120

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A histogram

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Excel for Histogram

First, define your bins The starting point of a bin Data analysis Toolpak histogram

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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

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Kurtosis

Kurtosis (S-p99-Fig 4.16) flat or peaked of a distribution

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Variability

Variability (S-p97-Fig 4.14)

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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