UW-Madison PSYCH 210 - Frequency Distributions (5 pages)

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Frequency Distributions

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Frequency Distributions


Lecture number:
Lecture Note
University of Wisconsin, Madison
Psych 210 - Basic Statistics for Psychology

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PSYCH 210 1st Edition Lecture 3 Outline of Last Lecture I Ways of Using Variables in Research a Correlational Method II Scales of Measurement a Nominal b Ordinal c Interval d Ratio Scale III Discrete vs Continuous Data IV Summation Notation Outline of Current Lecture I Finish Summation Notation II Frequency Distributions III Graphing IV Percentiles and Percentile Ranks Current Lecture I Summation Notation Continued a x2 means square first sum second vs x 2 means sum first square second i These two rules are NOT equivalent b Rule 6 Adding a constant to every score These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute II III i x C x nC c Rule 7 Multiplying every score by another variable Rule 7 i xy ii Multiply first sum second d Rule 8 Multiplying the sums of two variables i x y or x y ii Sum first multiply second Frequency Distributions FDs a They are a method for summarizing data Descriptive Stat b Simple Frequency Distributions SFDs i Two columns x raw score and f frequency ii Rank order scores normally from highest to lowest iii Sum of frequency f column must n total number of scores iv Must include ALL x values even if they don t exist in data set 1 If raw score d n e f 0 c Grouped FDs GFDs i Condenses Information 1 Makes it easier faster to read data 2 Less detailed a Ex No longer know for certain the lowest or highest values ii No definite rules for creating the following are guidelines for creating GFDs 1 Determine total number of rows you would need for a SFD a SFD rows Highest Lowest 1 2 Determine number of class intervals a Normally want 10 3 Determine width of class intervals a Total of rows Class Intervals Class Width Graphing a Class example Babies Babbling form of practicing language i Sonogram and Video Recording b Histograms i Like Bar Graphs but used only with Continuous data 1 No gaps between bars ii Using GFDs 1 y axis Frequency x axis midpoint of

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