RPTS 336 - (15) Descriptive statistics (student version)

RPTS 336 - (15) Descriptive statistics (student version) -...

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Introduction to Statistics and Descriptive Statistics Woosnam October 17 and 19, 2011
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Using statistics involves: Choosing appropriate statistics—Level of measurement indicates this Calculations—This is a matter of simply plugging numbers into an appropriate equation (in most cases you won’t have to memorize). Interpretation—Here we describe the results and determine whether or not they are statistically significant.
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Types of statistics: Descriptives Procedures used to summarize data Percentages/proportions Measures of central tendency _mode_ _median_ _mean_ Standard deviation (SD) _low_ SD – data points tend to be closer to mean _high_ SD – data points tend to be farther from mean
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Types of statistics: Inferential ? ? ? Procedures ? ?   used to tell us about how probable the results are relative to a population “Based on a sample of 1200, we are 97% confident that the population mean falls between 25 or 35.” Inferential statistics also provide us information about whether or not two or more variables are significantly related.
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Four levels of measurement for variables _Nominal ? ? ? _ _Ordinal ? ? ? _ _Interval ? ? _ Most basic; least sophisticated to use in data analysis; gives us least amount of detail Most advanced; most sophisticated to use in data analysis; gives us greatest amount of detail
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Nominal/Ordinal data Nominal level data _____________data Lowest level of data because no assumption is made about relationships between values Each value defines a distinct category with no overlap and serves to label a particular group Nominal question example: What is your gender? (please check one)
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This note was uploaded on 12/07/2011 for the course RPTS 336 taught by Professor Woo during the Spring '11 term at West Texas A&M University.

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RPTS 336 - (15) Descriptive statistics (student version) -...

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