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PSYC 2240 Statistics
One Sample T-Test
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PSYC 2240 Statistics: One Sample T-Test
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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
This page contains the following sub-pages:
Computing One Sample T-test
Factors that affect the magnitude of T
Confidence limits on the Mean
Course Instructor
Clarence Rohrbaugh
Email Me
Contact:
230 Hardway Hall
304-367-4669
Course Instructor
Clarence Rohrbaugh
Email Me
Contact:
230 Hardway Hall
304-367-4669
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Beta and Power
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Computing One Sample T-test >>
