Frequency Distribution Tables
Frequency Distribution Tables Psyc-21621
Popular in Quantitative Methods Psych I
Popular in Psychlogy
This 2 page Class Notes was uploaded by Amy Turk on Wednesday April 27, 2016. The Class Notes belongs to Psyc-21621 at Kent State University taught by Dr. Gordon in Spring 2016. Since its upload, it has received 3 views. For similar materials see Quantitative Methods Psych I in Psychlogy at Kent State University.
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Date Created: 04/27/16
PSYCH STATS POWERPOINT CHAPTER TWO ● frequency: the number of times a score occurs ● distribution: shape of scores ● frequency distribution: organized display of scores ○ descriptive stats ● tables: simplest format ○ lists every score and frequency ● graphs ○ visual depiction ○ many types Frequency Distribution Table ● find the largest value, write it in the table ● find each time it occurs, record frequency ● repeat ● sum of all scores ○ take each individual score from table ○ multiply each score by the frequency ● proportion: f/n ● percentage: (f/n)100 ● the sum of all the total number of frequencies: n ● if your data set has a large range: use a group frequency table ○ group scores in equal sized groups ○ use about 8-10 groups ● frequency distribution graphs ○ independent variable on x-axis ○ dependent variable on y-axis ● multiple types of graphs ○ depends on scale of measurement ■ interval/ratio ● histogram ● polygons ■ nominals/ordinals ● histogram: ○ bar is centered above each score ○ bars are touching ○ checks for problems in data ● polygon ○ dot in each score column indicating frequency ○ dots connected by straight lines ■ first and last dot connected to x-axis ● population graphs - smooth curves ○ used when graphing interval/ratio data ○ shows relative changes from one to the next ○ used for very big data sets ■ resembles real world populations ● bar graphs: ○ for nominal/ordinal data ○ just like a histogram but with spaces/gaps ● always look at how the data is scored ○ very easy to change how something looks ● shape describes data and gives info about data ○ affects usuable statistical procedures ○ symmetrical ■ each side mirrors the other ■ average score in the middle and consistent variability in both directions ○ skewed ■ scores mainly on one side ■ positive-skewed ● tail points positive ■ negative-skewed ● tail points negative ■ more difficult to determine location of average Percentile Rank ● the percentage of people in the distribution with scores equal to or less than x. ● percentile: when a score is identified by its percentile rank ○ just refers to a score ● percentile rank: find the number of people who are located at or below each point in the distribution ○ cumulative frequency: add frequency to the previous cumulative frequency ● cumulative percent: (cf/n)100 ● ex. if you’re in the 95th percentile, only 5% did better than you
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