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PSYB01H3 (600)
Chapter 10

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


Department
Psychology
Course Code
PSYB01H3
Professor
David Nussbaum
Chapter
10

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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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