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Frequency Distributions and Graphing

by: Victoria Snow

Frequency Distributions and Graphing 210

Marketplace > University of North Carolina at Chapel Hill > PSYC > 210 > Frequency Distributions and Graphing
Victoria Snow

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This week we covered frequency distributions and different types of graphs. We learned about intervals, skewness, kurtosis, histograms, bar graphs, frequency, relative frequency, etc. These notes c...
Statistical Principles of Psychology
Dr. Harrison
Class Notes
Statistics, Psychology, Intervals, Kurtosis, frequency
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This 3 page Class Notes was uploaded by Victoria Snow on Sunday September 4, 2016. The Class Notes belongs to 210 at University of North Carolina at Chapel Hill taught by Dr. Harrison in Fall 2016. Since its upload, it has received 18 views. For similar materials see Statistical Principles of Psychology in PSYC at University of North Carolina at Chapel Hill.


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Date Created: 09/04/16
PSYC 210 FrequencyDistributionsand Graphing 8/29/16 Frequencydistributionsdifferin: - Central tendency- mean, median mode - Variability-spread out/lumped together - Skewness - Kurtosis- shape/layout 2 ways to represent numbers: 1. Singlenumber descriptors- average,etc. Gives a quick snapshot of data. 2. Graphs/charts- more comprehensive and can seeall data atonce CentralTendency-singlenumber descriptors - Point on the scalecorresponding to typical, representative score - Most often used: mean, median, and mode Variablitity-howmuch do people differ from the average Wider=more variability. N=8, less variablity N=2, greater variability -4 -2 0 2 4 Skewness: Where most of the cases fall Positiveskew- (ifrotate 90 degrees clockwise,looks likea “P”) Negativeskew- Kurtosis -shapeandlayout of distribution BasicDefinitions: - Frequency:number of responses that fita particular category of level of a variable - Cumulativefrequency:number of responses at or previous to that response. Adding as you go. The lastcategoryis always the entire sample - Relativefrequency:proportion/percent. Thefrequency relativeto total number of responses.Always between 0and 1. - CumulativeRelativeFrequency:theproportion of case/responses ator below the current level of variable.Less likelyto be used. Example: Support for legalizationofmarijuana 0=totally oppose 1=no opinion 2-medical useonly 3=totally support - 71 responses - Usenominal scale(ororidinal) - Tableis good to use,bar graph is better, and pie chart is best For nominal data-use bar graphs and pie charts - Doesn’t make senseto usecumulative frequency - Don’t usehistograms-adjacent intercals have no spacebetween them. o Could usehistogram to displayheight of trees FrequencyDistribution and Graphingcontd. 8/31/16 - With lots of different scores,need to determine how many intervals to use. Class interval-segmentor rangeof scores along scalethat contains >1possiblevalue o Must decide interval size o GPA- 4.0-3.8, 3.79-3.5, etc. or A, B,C,D, etc. Howto DecideIntervalScale:(p.36 in textbook for more info)  Calculaterange:25-1=24  N=33, somax number of intervals=11  Dividerange by number intable and round up o 24/11=2.18  3 Class interval sizeis 3.  Definestated limits:1-3, 4-6, 7-9, etc.  Definereal limits:numbers that you could theoretically scoreand still be considered in that class o .5-3.499, 3.5-6.499, 6.5-9.499, etc.  Interval size:difference between real limits o 3.5-.5=3  Definemidpoint=precise center of interval o Midpoint=lower real limit + .5(interval size) o .5 +.5(3)= 2 Another way…  1-5, 6-10, 11-15, etc.  Doesn’t have to be the way itis inthe book  Canmake histogram or polygon, but could be misleading  Relativefrequency (percent) histogramcould be good to use attimes. REVIEW 9/2/2016 Played Kahootin classto go overmaterial sofar…nonotes fortoday.


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