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PSYB01H3 (600)

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Chapter 10

# PSYB01H3 Chapter Notes - Chapter 10: Squared Deviations From The Mean, Statistic, Histogram

by OC29227

Department

PsychologyCourse Code

PSYB01H3Professor

David NussbaumChapter

10This

**preview**shows page 1. to view the full**4 pages of the document.**Chapter 10: Quantitative Data Analysis

Key Terms

Term Page Definition

Bar Chart 319 A graphic for qualitative variables in which the variable's

distribution is displayed with solid bars separated by spaces

Between-

groups

Variance

338 Calculated by comparing the difference of each of the means of

the individual groups with the overall or grans mean for all scores

in the experiment; the between-groups variance represents

systematic variance due to the manipulation of the independent

variable

Bimodal 323 A distribution that has two nonadjacent categories with about the

same number of cases, and these categories have more cases

than any others

Central

tendency

322 The most common value (for variables measured at the nominal

level) or the value around which cases tend to center (for a

quantitative variable)

Chi-square

(X^2) test

of

independen

ce

343 An inferential statistic used to test hypotheses about relationships

between two or more categorical variables in a contingency table

Contingenc

y table

342 A bivariate (two variable) or higher order distribution showing the

distribution of one variable for each category of another variable.

Also called cross tabulation. Often used with chi-square (X^2) test

of independence to tabulate and analyze relationship between

two or more categorical variables

Correlation 000 A statistic that measures the extent to which two variables are

associated but not necessarily causally related

Critical t-

value

335 The value that the t-statistic must exceed in order to reject the

null hypothesis at a certain level of probability

Degrees of

freedom

336 In tests of statistical significance, the number of observation that

are free to vary in estimating a population parameter

Descriptive

statistics

314 Statistics used to describe the distribution of and relationship

among variables, usually in the form of averages and standard

deviations (a statistical measure of variability)

Effect size 342 A standardized measure of association; often the difference

between the mean of the experimental group and the mean of the

control group on the dependent variable, adjusted for the average

variability in the two groups. The effect size measures the

strength of the predicted or hypothesized relationship between

the independent variable and dependent variable

f-test 334 ANOVA computes an f-statistic, which is the ratio of two types of

variance: systematic and error variance

Frequency 316 Numerical display showing the number of cases, and usually the

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