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The Basic Practice of Statistics
David S. Moore The Basic Practice of Statistics Fourth Edition Chapter 1: Picturing Distributions with Graphs Copyright © 2007 by W. H. Freeman & Company
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Statistics – The study of how to collect, organize, analyze and interpret numerical information from data for the purpose of making decisions.
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Important aspects of any graphical representation are
Shape, Center, Spread.
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Graphs such as bar charts or pie charts help display the distribution of a variable
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Dot plots Does not have to begin at zero. Should cover the range of values.
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Groups data into classes.
Histogram Classes 15< % adults with bachelors degree < 20 20< “ <25 25< <30 30< <35 35< <40 40< <45 Groups data into classes. You can choose classes but must do so carefully.
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symmetric Skewed right
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Used for small data sets.
Presents more detail. All data is displayed
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Measurements of Center
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The mean is nonresistant (changed) to extreme observations or outliers; while the median is resistant (not changed). Mean Median Mean and median are the same
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Measuring Spread Range Measuring center alone can be misleading.
Often the spread or variability of the data is very important. Range The difference between the largest and smallest observations.
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Example: odd # of Observations Q3 Q1 M even # of Observations Q1 14.5 Q3
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Properties of Standard deviation
measures spread about the mean. Should only be used when the mean is the measure of center. s = 0; only when there is no spread, all observations are exactly the same. s is large; values are very spread out. s is small; values are clustered close to the mean. s is nonresistant likex (mean); strongly influenced by extreme observations or outliers.
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