Psyc 305 tests - Final Review PDF

Title Psyc 305 tests - Final Review
Author Tiny Roland
Course Statistics for Experimental Design
Institution McGill University
Pages 7
File Size 263.6 KB
File Type PDF
Total Downloads 98
Total Views 143

Summary

Download Psyc 305 tests - Final Review PDF


Description

Test

Use

Variable used

Assumptions

Statistic/result

Z Test

Comparing a group Binary variable mean to a demonstrating hypothesis group membership

Z score: follows normal distribution. Critical value at 0.05 is abs. value 1.96. If abs. z score is greater than 1.96, reject H0

T test (about 1 mean)

Comparing population mean to sample mean. Similar means = population will have same response to treatment Two unknown population means are different based on their samples.

t-distribution changes with sample size (DF), CV not always 1.96. compare tstatistic to CV. If >CV, reject H0. OR P-val Because assumptions fulfilled, only parameter that can change is group means.

T test (about 2 means)

- Normal distribution of population - σ and µ of population must be known - Sample must be chosen randomly Binary variable - Normal demonstrating distribution of group population membership - Mean of population taken from H0 - Random sample Binary variable - both demonstrating populations group follow ND membership - homogeneity of variance (SD) σ - Random sample

Effect Size Measure

Pearson’s Correlation Coefficient (r)

Pearson’s Correlation Coefficient (r)

Limitations Degrees of OR in SPSS freedom LIM: Knowing df=1 σ and µ is unlikely in large populations Unit dependent (scale invariant) df=1

LIM: ≤ 2 means

df=1

Test

Use

Variable used

One-Way ANOVA (Independent)

≥ 2 means

Analysis of variance: IV = factor. Has many levels or categories. Treatment levels.

One-Way ANOVA (Repeated)

N subjects are measured on a single DV under K conditions or levels of a factor.

Analysis of variance between DVs across treatment levels. Testing for significant differences across subjects.

Assumptions

Statistic/result

- Indep. of observations in each group - All groups have equal variance in pop - groups follow ND

VB: Between groups variance VW: Within groups variance F Statistic= (VB/ VW) If >CV, reject H0. Also look at p-val (...


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