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PSYC 2240 Statistics
Test of Independence of Variables
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PSYC 2240 Statistics: Test of Independence of Variables
Home
Table of Contents
Basic Concepts
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Scales of Measurement
Variables
Statistic vs. Population
Descriptive vs. Inferential
Notations
Displaying Data
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Bar graph and Histogram
Shapes of Distributions
Grouped Frequency Distributions
Frequency Polygons and Cumulative Frequency polygon
Describing Data
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Measures of Central Tendency
Range, Variance, Standard Deviation
The Normal Distribution
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The normal and standard normal Distribution
Z-score
Probability
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Basic Concepts of Probability
Probability Distributions and Relationship of Z-score to probability
Sampling Distributions and Hypothesis Testing
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Central limit theorem
Hypothesis Testing
Probable limits/ One- two tailed test
The null and alternative
Type 1 and Type 2
Beta and Power
One Sample T-Test
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Computing One Sample T-test
Factors that affect the magnitude of T
Confidence limits on the Mean
Two related Samples T-test
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Student’s t applied to difference scores
Related Samples T-Test
Two Independent Samples T-test
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Distribution of Differences between Means
Heterogeneity & Homogeneity of Variance
Confidence Limits on µ1 - µ2
One-Way Analysis of Variance
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Computational ANOVA
Violation of Assumptions
Repeated Measures ANOVA
Correlation
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Classes of Correlation
Correlation vs. Causation
The Pearson Product-Moment Correlation Coefficient
Other correlation forms
Testing the Significance of Correlation Coefficients
Regression
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The Linear Regression Line
Coefficient of Determination
Standard Error of Estimates
Chi-Square
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Goodness-of-Fit Test
Test of Independence of Variables
Reading Material
Openstax Statistics Chapter 11.3
Video Material
Test for Independence
Additional Examples
Voting Preference
Types of Malaria
Down at the bottom
SPSS guides
Test for independence
Course Instructor
Clarence Rohrbaugh
Email Me
Contact:
230 Hardway Hall
304-367-4669
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Goodness-of-Fit Test
