UCR SOC 005 STAT SPR 2010 Session 18 V2

# UCR SOC 005 STAT SPR 2010 Session 18 V2 - SOCIOLOGY005...

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THE UNIVERSITY OF CALIFORNIA RIVERSIDE The University of   Mississippi Institute for Advanced Education  in Geospatial Science Session 16 Friday, 8 May 2009 David Swanson Watkins 1223 [email protected] SOCIOLOGY 005  STATISTICAL ANALYSIS

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THE UNIVERSITY OF CALIFORNIA RIVERSIDE The University of   Mississippi Institute for Advanced Education  in Geospatial Science   Confidence Intervals, Part 1
THE UNIVERSITY OF CALIFORNIA RIVERSIDE The University of   Mississippi Institute for Advanced Education  in Geospatial Science Confidence Intervals An ‘after-the-sample-is-taken’  SUMMARY  measurement based on   sample error used to guide decision- making under conditions of  uncertainty, due to sampling*

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THE UNIVERSITY OF CALIFORNIA RIVERSIDE The University of   Mississippi Institute for Advanced Education  in Geospatial Science Confidence Interval Example: Kitsap County Voter Poll   95 % C.I.  Percent “yes” to Open-Space    Bond By how Much Tax One Would Pay                                              Sample    Std.                                               Mean     Error \$10             78.7  -   86.7     (82.7,     2.00)    \$25             77.2  -   85.6     (81.5,     2.05)    \$50             72.5  -   81.7     (77.1,     2.30)    \$75             57.1  -   68.3     (62.7,     2.80)   \$100             52.7  -   64.3    (58.5,     2.90)
THE UNIVERSITY OF CALIFORNIA RIVERSIDE The University of   Mississippi Institute for Advanced Education  in Geospatial Science Working with the Normal Distribution   From Sample To Population Different Samples result in different  means The Distribution of all possible  sample means for samples of the  same size = The Sampling  Distribution of the Mean, an important  concept to understand

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THE UNIVERSITY OF CALIFORNIA RIVERSIDE The University of   Mississippi Institute for Advanced Education  in Geospatial Science A Sampling Distribution: The Theoretical Plot of  an infinite number of means in samples of the  same size (n), drawn from  a population of interest The Mean of the sampling distribution (the infinite  number of sample means) is equal to the mean in the  population from which the samples (all of size n) were  drawn
THE UNIVERSITY OF CALIFORNIA RIVERSIDE The University of   Mississippi Institute for Advanced Education  in Geospatial Science Working with the Normal Distribution The variability of the distribution of  sample means depends on sample size

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## This note was uploaded on 10/16/2010 for the course SOC 5 taught by Professor Burke during the Spring '08 term at UC Riverside.

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UCR SOC 005 STAT SPR 2010 Session 18 V2 - SOCIOLOGY005...

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