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Psychology Majors

Intro Psychology and Statistics, ready to practice. Pick a tool and start.

174psych concepts
86stats cards
15chapters
5study modes
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Classes

Psychology coverage · 174 concepts in 5 modules
M1
History and ApproachesDefinition and goals of psychology, empirical method, structuralism, functionalism, psychoanalytic, Gestalt, behaviorism, humanistic and cognitive schools.
19 concepts
M2
Research MethodsVariables, falsifiability, operational definitions, correlation vs. causation, confounds, experiments, random assignment, reliability, validity, ethics.
36 concepts
M3
Brain and Nervous SystemNeurons, action potential, synapse and neurotransmitters, nervous systems, brain structures, lateralization, plasticity, EEG and fMRI.
48 concepts
M4
MemoryEncoding, short-term and long-term memory, chunking, rehearsal, serial position, misinformation, schemas, amnesia, forgetting and interference.
49 concepts
M5
ConsciousnessCircadian rhythms and melatonin, sleep stages and brain waves, sleep disorders, dreams and dream theories, drugs, addiction and tolerance.
22 concepts
Statistics coverage · all 15 chapters in the Lab

Textbook for this class

Essentials of Statistics for the Behavioral Sciences, 10th edition

Frederick J Gravetter, Larry B. Wallnau, Lori-Ann B. Forzano, and James E. Witnauer · Cengage

ISBN 978-0-357-36529-8MindTap Course List edition
15 chapters · 689 pages

Chapter map

1
Introduction to Statistics
In LabGuide →
2
Frequency Distributions
In LabGuide →
3
Central Tendency
In LabGuide →
4
Variability
In LabGuide →
5
z-Scores: Location of Scores and Standardized Distributions
In LabGuide →
6
Probability
In LabGuide →
7
Probability and Samples: The Distribution of Sample Means
In LabGuide →
8
Introduction to Hypothesis Testing
In LabGuide →
9
Introduction to the t Statistic
In LabGuide →
10
The t Test for Two Independent Samples
In LabGuide →
11
The t Test for Two Related Samples
In LabGuide →
12
Introduction to Analysis of Variance
In LabGuide →
13
Two-Factor Analysis of Variance
In LabGuide →
14
Correlation and RegressionThe full chapter is in the Lab, including regression in section 14.6.
In LabGuide →
15
The Chi-Square Statistic: Tests for Goodness of Fit and Independence
In LabGuide →

Stats Lab sections live today

Central tendency and spreadMean, median, mode, range, variance, standard deviation, sum of squares.
Proportions and percentagesWorking with parts, wholes, and percent problems.
Z-scoresLocating scores, finding X from z, standardizing distributions.
Probability and the normal tableProportions under the normal curve, percentiles, percentile ranks.
CorrelationPearson correlation from sections 14.1 to 14.2.
Sample meansStandard error, z-scores and probabilities for sample means. Chapter 7.
Hypothesis tests and the t statisticTest statistics, Cohen's d, and effect size r². Chapters 8 and 9.
Two-sample t testsPooled variance, independent-measures t, and repeated-measures t. Chapters 10 and 11.
ANOVAF-ratios, eta squared, and degrees of freedom for one-way and two-factor designs. Chapters 12 and 13.
Regression and chi-squareRegression slope and predicted Y, chi-square goodness of fit and independence. Chapters 14 and 15.
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