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Introduction to Applied Statistics for Psychology Students

Applied Statistics Statistics

Tác giả: Gordon E. Sarty
Nhà xuất bản: University of Saskatchewan
Nguồn: LibreTexts
Giấy phép: CC BY-NC-SA
Ngôn ngữ: EN
Danh mục: Khoa học cơ bản

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Mục lục· 92 mục

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