
External
Introduction to Applied Statistics for Psychology Students
- Author
- Gordon E. Sarty
- Publisher
- University of Saskatchewan
- Source
- LibreTexts
- License
- CC BY-NC-SA
- Language
- EN
- Category
- Basic Sciences
Contents· 92 sections
- 01: Background and Motivation
- 1.01: Overview
- 1.02: Basic Definitions
- 1.03: Summation Convention
- 02: Descriptive Statistics - Frequency Data (Counting)
- 2.01: Frequency Tables
- 2.02: Plotting Frequency Data
- 2.03: SPSS Lesson 1- Getting Started with SPSS
- 03: Descriptive Statistics- Central Tendency and Dispersion
- 3.01: Central Tendency- Mean Median Mode
- 3.02: Dispersion- Variance and Standard Deviation
- 3.03: z-score z-transformation
- 3.04: SPSS Lesson 2- Combining variables and recoding
- 04: Probability and the Binomial Distributions
- 4.01: Probability
- 4.02: Binomial Distribution
- 4.03: SPSS Lesson 3- Combining variables - advanced
- 05: The Normal Distributions
- 5.01: Discrete versus Continuous Distributions
- 5.02: The Normal Distribution as a Limit of Binomial Distributions
- 5.03: Normal Distribution
- 06: Percentiles and Quartiles
- 6.01: Discrete Data Percentiles and Quartiles
- 6.02: Finding Outliers Using Quartiles
- 6.03: Box Plots
- 6.04: Robust Statistics
- 6.05: SPSS Lesson 4- Percentiles
- 07: The Central Limit Theorem
- 7.01: Using the Normal Distribution to Approximate the Binomial Distribution
- 7.02: The Central Limit Theorem
- 08: Confidence Intervals
- 8.01: Confidence Intervals Using the z-Distribution
- 8.02: Bayesian Statistics
- 8.03: The t-Distributions
- 8.04: Proportions and Confidence Intervals for Proportions
- 8.05: Chi Squared Distribution
- 09: Hypothesis Testing
- 9.01: Hypothesis Testing Problem Solving Steps
- 9.02: z-Test for a Mean
- 9.03: t-Test for Means
- 9.04: z-Test for Proportions
- 9.05: Chi Squared Test for Variance or Standard Deviation
- 9.06: SPSS Lesson 5- Single Sample t-Test
- 10: Comparing Two Population Means
- 10.01: Unpaired z-Test
- 10.02: Confidence Interval for Difference of Means (Large Samples)
- 10.03: Difference between Two Variances - the F Distributions
- 10.04: Unpaired or Independent Sample t-Test
- 10.05: Confidence Intervals for the Difference of Two Means
- 10.06: SPSS Lesson 6- Independent Sample t-Test
- 10.07: Paired t-Test
- 10.08: Confidence Intervals for Paired t-Tests
- 10.09: SPSS Lesson 7- Paired Sample t-Test
- 11: Comparing Proportions
- 11.01: z-Test for Comparing Proportions
- 11.02: Confidence Interval for the Difference between Two Proportions
- 12: ANOVA
- 12.01: One-way ANOVA
- 12.02: Post hoc Comparisons
- 12.03: SPSS Lesson 8- One-way ANOVA
- 12.04: Two-way ANOVA
- 12.05: SPSS Lesson 9- Two-way ANOVA
- 12.06: Higher Factorial ANOVA
- 12.07: Between and Within Factors
- 12.08: Contrasts
- 13: Power
- 13.01: Power
- 14: Correlation and Regression
- 14.01: Scatter Plots
- 14.02: Correlation
- 14.03: SPSS Lesson 10- Scatterplots and Correlation
- 14.04: Linear Regression
- 14.05: r and the Standard Error of the Estimate of y
- 14.06: Confidence Interval for y at a Given x
- 14.07: SPSS Lesson 11- Linear Regression
- 14.08: Multiple Regression
- 14.09: SPSS Lesson 12- Multiple Regression
- 15: Chi Squared- Goodness of Fit and Contingency Tables
- 15.01: Goodness of Fit
- 16: Non-parametric Tests
- 16.01: New Page
- 16.02: New Page
- 16.03: New Page
- 16.04: New Page
- 16.05: New Page
- 16.06: New Page
- 16.07: New Page
- 16.08: New Page
- 16.09: New Page
- 17: Overview of the General Linear Model
- 17.01: New Page
- 17.02: New Page