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by: Sami Smith

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1

# 330 SLL StudyGuide

Sami Smith
UCLA

Hoffmeister

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330 SLL StudyGuide
COURSE
PROF.
Hoffmeister
TYPE
Study Guide
PAGES
1
WORDS
KARMA
50 ?

## Popular in Department

This 1 page Study Guide was uploaded by Sami Smith on Friday February 14, 2014. The Study Guide belongs to a course at University of California - Los Angeles taught by a professor in Fall. Since its upload, it has received 130 views.

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Date Created: 02/14/14
Variance Deviation Score Variahility 5 What is the relatinniship betWeen central teudeucy and Variability Ceutiral tendency and Variability represent different characteristics of a distribution D lSI lllDTll1ilCii of scores can have idientical variability hut lIllffEIquotE1i1t centralli tentlencies Diistrihtitinns can also have identical central tendenlcies but different variability Heweveir nneasures of variability can help to intterpiret tneasures of central tendency The stanidiard deviation is the most easily intterpireted rneaisiiure of variabilijty hecause it C ls in the C39i lgli1El1llUlIllllS DfIi1EElSllI eiI39iEIl1t The syjtnbnl used for the population Variance is and the sytnbnlli used for the pnpiiulatiiion stiandiard deviations is D G2 039 s er the estimated standard deviatiUni for the JCPlllEl ilZlI1 n 1 divide by it List and describe four characteristiics shared hi all nnrnilal distributions Synunetrical shape is identical above and helnw the 111981110 nniirncudal only one tnndie which is equal to the Inean asiynnptntitc possible Values continue to tiuftiuity at each extreineta end cdutiniubus infinite possible Valnes between scores 2 What dines a standard scnre represent The nuniher of standard deviation units that a score falls ahove or below the tnean TrtieFallse Turning a Whole distribution of raw scores into standard scnites will li39l391Ellli the distribution nnrtnial even if the raw smres are skewed False

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