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Study Notes/Statistics

Descriptive Statistics

by Kirina 2022. 9. 21.
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descriptive statistics

목차

    Descriptive (exploratory) Methods

    • organize and summarize data
    • has visual displays of data & calculation of numerical quantities (e.g., mean or median)

    Variables

    categorical vs. numerical

    • categorical variables: few values, may or may not have numeric properties (e.g., male or female)
    • numerical variables: many values, recorded as numbers (e.g., time in seconds)

    OR,

     

    qualitative vs. quantitative

    • qualitative variables: no numeric/quantitative information (e.g., positive, negative)
    • quantitative variables: numeric/quantitative information (e.g., temperature) 

    discrete vs. continuous

    • discrete variable: small number of possible values (e.g., score of 0~4, class of freshman~senior)
    • continuous variable: large (or theoretically infinite) number of possible values (e.g., body temperature) 

    independent vs. dependent

    • independent variable (IV): manipulated by researcher, cause of result (e.g., study time)
    • dependent variable (DV): outcome of IV (e.g., test score)

    Level of Measurement

    • Nominal
    • Ordinal
    • Interval
    • Ratio
    Level of
    Measurement
    Variable Example/notes
    Nominal categorical cities you live in
    Ordinal categorical ranking
    Interval numerical temperature F/ no meaningful 0
    Ratio numerical weight/ has meaningful 0

    Sampling

    • simple random sampling: every observation in the population have equal chance of being selected
    • systematic sampling: random individuals are selected and then every nth individual is selected
    • stratified sampling (proportional sampling): population is divided into strata (layers or groups)and random sample is taken from each stratum (subpopulation)
    • cluster sampling: random cluster is selected  

    Data Analysis

    • Tabulating data: tallying 
    • ordering (sorting) data: good for ordinal data and discrete variables
    • grouping data: frequency distribution, relative frequency distribution

    Measure of Center

    Types of Variable (for DVs) Measure of Center Measure of variability
    Nominal Mode Entropy
    Ordinal Median (=Q2) IQR (=Q3-Q1) or range
    Numeric (interval or ratio) Mean Variance

     

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