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Social Statistics
Fichas del conjunto (15)
- 1Difference between Z test and T test1.) Z test contains population parameters: the mean and SD.
2.) Population size is smaller where the T test has a larger population size and estimation is used. - 2Z test exclusion zone+ or - 1.96
- 3Difference between single sample T test and independent T test1.) Both sample groups are not related to one another.
- 4Difference between independent T test and ANOVAANOVA compares more than one sample group to the population.
- 5Descriptive statisticsDescribes and summarizes data.
Example: Z test - 6Inferential statisticsFrom sample to population.
- 7KurtosisPeak in the distribution of scores.
1.) Leptokurtic: Peaked, positive value
2.) Mesokurtic: Flat, negative value
*Rule must be between 2 and 3 when using formula, same for skewness. - 8Null hypothesis vs AlternateNo difference.
Alternate: there is a difference. - 9Cohen's d effect size.20 = small
.50 = medium
.80 = large - 10Type 1/ Alpha errorRejecting the Null Hypothesis when it should not be rejected.
- 11Type 2/ Beta errorNot rejecting a Null Hypothesis when it
should have been rejected. - 12ANOVA: Components of varianceA.) Between – Variation of group means around the grand mean.
B.) Within – Variation of scores around their respective group means.
C.) Total – Variation of all individual scores around the grand mean. - 13Variancea measure of the dispersion of scores in a
distribution. - 14Sum of squaresa global measure of the variation in a
distribution of scores (descriptive). - 15Mean of squaresPopulation estimates of variance based
on sample values (SS).
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- Descripción
- 2000 Social Statistics Fichas sobre Social Statistics, creado por jclyn.toledo el 20/02/2016.
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- jclyn.toledo
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