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文档列表

Statistics (4th ed).pdf 130.2 MB
Lectures/4 - 2 - Distributions- Histograms (22-39).mp4 58.6 MB
Lectures/1 - 1 - Course introduction (14-22).mp4 45.1 MB
Lectures/2 - 2 - Example 2- Memory training (16-21).mp4 44.1 MB
Lectures/4 - 1 - Types of variables (14-53).mp4 43.1 MB
Labs/26 - 2 - Lab 2- Histograms and summary statistics (37-04).mp4 38.8 MB
Lectures/2 - 1 - Example 1- Polio vaccine (11-17).mp4 34.0 MB
Lectures/3 - 3 - Example 3- Sports-related concussion (11-24).mp4 33.1 MB
Lectures/12 - 1 - Multiple regression (15-28).mp4 31.2 MB
Lectures/14 - 2 - Centering predictors (15-15).mp4 30.6 MB
Lectures/15 - 2 - Path analysis (14-41).mp4 29.9 MB
Labs/26 - 4 - Lab 4- Regression (28-33).mp4 29.7 MB
Lectures/16 - 1 - Introduction (14-12).mp4 28.7 MB
Lectures/10 - 2 - The central limit theorem (14-16).mp4 27.2 MB
Lectures/12 - 2 - Matrix algebra (14-50).mp4 26.2 MB
Lectures/23 - 2 - Examples (14-28).mp4 25.7 MB
Lectures/3 - 1 - Example 1- Personality (9-37).mp4 24.7 MB
Lectures/3 - 2 - Example 2- Intelligence (9-09).mp4 24.2 MB
Lectures/19 - 2 - Repeated measures ANOVA example (11-36).mp4 24.0 MB
Lectures/16 - 2 - Dependent t-tests (12-48).mp4 24.0 MB
Labs/26 - 3 - Lab 3- Scatterplots and correlations (20-46).mp4 23.8 MB
Lectures/22 - 1 - Assumptions (12-36).mp4 23.6 MB
Lectures/13 - 2 - Dummy coding (12-24).mp4 23.4 MB
Lectures/10 - 1 - Sampling distributions (11-51).mp4 23.3 MB
Lectures/21 - 1 - Overview (12-15).mp4 23.2 MB
Lectures/20 - 1 - Chi-square goodness of fit (11-27).mp4 22.7 MB
Lectures/21 - 2 - Example (11-57).mp4 22.6 MB
Lectures/11 - 2 - Confidence intervals for regression coefficients (10-23).mp4 19.9 MB
Lectures/20 - 2 - Chi-square test of independence (10-07).mp4 19.0 MB
Lectures/23 - 1 - Parametric vs. non-parametric statistics (10-22).mp4 18.4 MB
Lectures/4 - 3 - Scales of measurement (6-46).mp4 18.4 MB
Lectures/24 - 2 - Examples (10-21).mp4 18.0 MB
Lectures/2 - 3 - Example 3- The concept of random (6-27).mp4 17.2 MB
Lectures/18 - 2 - Example (8-43).mp4 17.1 MB
Lectures/12 - 3 - Estimation of coefficients (9-34).mp4 17.0 MB
Lectures/13 - 1 - The general linear model (7-55).mp4 16.1 MB
Lectures/24 - 1 - Overview (8-32).mp4 15.2 MB
Lectures/17 - 2 - Post-hoc tests (7-35).mp4 14.7 MB
Lectures/25 - 2 - Simple and multiple regression (7-42).mp4 13.6 MB
Lectures/14 - 3 - Example 2 (6-44).mp4 13.3 MB
Lectures/22 - 2 - Transformations (6-37).mp4 12.3 MB
Labs/26 - 1 - Lab 1- Introduction to R (12-03).mp4 12.1 MB
Lectures/25 - 3 - Group comparisons t-tests and ANOVA (5-52).mp4 10.4 MB
Lectures/25 - 1 - Research methods and descriptive statistics (5-32).mp4 10.0 MB
Presentations/lecture_slides-Stats1.13.L15.pdf 9.1 MB
Lectures/25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).mp4 7.3 MB
Presentations/lecture_slides-Stats1.13.L03.pdf 6.7 MB
Presentations/lecture_slides-Stats1.13.L20.pdf 6.6 MB
Presentations/lecture_slides-Stats1.13.L19.pdf 6.2 MB
Presentations/lecture_slides-Stats1.13.L05.pdf 6.0 MB
Presentations/lecture_slides-Stats1.13.L11.pdf 5.8 MB
Presentations/lecture_slides-Stats1.13.L22.pdf 5.6 MB
Presentations/lecture_slides-Stats1.13.L13.pdf 5.5 MB
Presentations/lecture_slides-Stats1.13.L07.pdf 5.4 MB
Presentations/lecture_slides-Stats1.13.L23.pdf 5.1 MB
Presentations/lecture_slides-Stats1.13.L21.pdf 5.0 MB
Presentations/lecture_slides-Stats1.13.L06.pdf 4.9 MB
Presentations/lecture_slides-Stats1.13.L14.pdf 4.8 MB
Presentations/lecture_slides-Stats1.13.L24.pdf 4.1 MB
Presentations/lecture_slides-Stats1.13.L10.pdf 4.0 MB
Presentations/lecture_slides-Stats1.13.L04.pdf 4.0 MB
Presentations/lecture_slides-Stats1.13.L17.pdf 3.9 MB
Presentations/lecture_slides-Stats1.13.L18.pdf 3.7 MB
Presentations/lecture_slides-Stats1.13.L16.pdf 3.7 MB
Presentations/lecture_slides-Stats1.13.L01.pdf 3.4 MB
Presentations/lecture_slides-Stats1.13.L09.pdf 3.4 MB
Presentations/lecture_slides-Stats1.13.L02.pdf 3.4 MB
Presentations/lecture_slides-Stats1.13.L12.pdf 2.9 MB
Presentations/lecture_slides-Stats1.13.L08.pdf 2.9 MB
Presentations/lecture_slides-Stats1.13.L00.AIR.pdf 2.6 MB
Labs/26 - 2 - Lab 2- Histograms and summary statistics (37-04).srt 48.5 kB
Labs/26 - 5 - Lab 5- Confidence intervals (30-10).srt 39.3 kB
Labs/26 - 4 - Lab 4- Regression (28-33).srt 39.0 kB
Lectures/14 - 1 - Example 1 (27-13).srt 37.1 kB
Lectures/4 - 2 - Distributions- Histograms (22-39).srt 30.6 kB
Lectures/17 - 1 - One-way ANOVA (22-17).srt 30.5 kB
Lectures/19 - 1 - Repeated measures- Pros and cons (21-33).srt 29.9 kB
Labs/26 - 2 - Lab 2- Histograms and summary statistics (37-04).txt 29.2 kB
Labs/26 - 3 - Lab 3- Scatterplots and correlations (20-46).srt 28.8 kB
Labs/26 - 6 - Lab 6- Multiple regression (21-45).srt 28.3 kB
Labs/26 - 8 - Lab 8- Group comparisons (18-18).srt 26.8 kB
Lectures/16 - 3 - Independent t-tests (18-50).srt 25.4 kB
Labs/26 - 10 - Lab 10- Binary logistic regression (18-56).srt 25.1 kB
Lectures/11 - 1 - Confidence intervals for sample means (18-19).srt 24.1 kB
Labs/26 - 4 - Lab 4- Regression (28-33).txt 23.6 kB
Lectures/15 - 1 - Standard approach (18-33).srt 23.3 kB
Labs/26 - 5 - Lab 5- Confidence intervals (30-10).txt 23.1 kB
Lectures/14 - 1 - Example 1 (27-13).txt 22.4 kB
Lectures/2 - 2 - Example 2- Memory training (16-21).srt 21.8 kB
Labs/26 - 7 - Lab 7- Moderation and mediation (15-48).srt 20.9 kB
Lectures/12 - 1 - Multiple regression (15-28).srt 19.7 kB
Lectures/16 - 1 - Introduction (14-12).srt 19.6 kB
Lectures/4 - 1 - Types of variables (14-53).srt 19.2 kB
Lectures/23 - 2 - Examples (14-28).srt 18.9 kB
Lectures/15 - 2 - Path analysis (14-41).srt 18.9 kB
Lectures/1 - 1 - Course introduction (14-22).srt 18.8 kB
Lectures/14 - 2 - Centering predictors (15-15).srt 18.5 kB
Lectures/17 - 1 - One-way ANOVA (22-17).txt 18.3 kB
Lectures/4 - 2 - Distributions- Histograms (22-39).txt 18.3 kB
Lectures/10 - 2 - The central limit theorem (14-16).srt 17.9 kB
Lectures/19 - 1 - Repeated measures- Pros and cons (21-33).txt 17.9 kB
Lectures/12 - 2 - Matrix algebra (14-50).srt 17.4 kB
Labs/26 - 3 - Lab 3- Scatterplots and correlations (20-46).txt 17.2 kB
Lectures/16 - 2 - Dependent t-tests (12-48).srt 17.2 kB
Lectures/22 - 1 - Assumptions (12-36).srt 17.0 kB
Labs/26 - 9 - Lab 9- Factorial ANOVA (12-16).srt 16.8 kB
Labs/26 - 6 - Lab 6- Multiple regression (21-45).txt 16.7 kB
Lectures/13 - 2 - Dummy coding (12-24).srt 16.3 kB
Labs/26 - 8 - Lab 8- Group comparisons (18-18).txt 16.3 kB
Lectures/21 - 1 - Overview (12-15).srt 16.1 kB
Lectures/19 - 2 - Repeated measures ANOVA example (11-36).srt 16.1 kB
Lectures/21 - 2 - Example (11-57).srt 15.5 kB
Lectures/3 - 3 - Example 3- Sports-related concussion (11-24).srt 15.3 kB
Lectures/16 - 3 - Independent t-tests (18-50).txt 15.1 kB
Labs/26 - 10 - Lab 10- Binary logistic regression (18-56).txt 15.0 kB
Lectures/10 - 1 - Sampling distributions (11-51).srt 14.7 kB
Lectures/20 - 1 - Chi-square goodness of fit (11-27).srt 14.6 kB
Labs/26 - 1 - Lab 1- Introduction to R (12-03).srt 14.6 kB
Lectures/11 - 1 - Confidence intervals for sample means (18-19).txt 14.5 kB
Lectures/23 - 1 - Parametric vs. non-parametric statistics (10-22).srt 14.5 kB
Lectures/15 - 1 - Standard approach (18-33).txt 14.2 kB
Lectures/2 - 1 - Example 1- Polio vaccine (11-17).srt 13.8 kB
Lectures/11 - 2 - Confidence intervals for regression coefficients (10-23).srt 13.8 kB
Lectures/2 - 2 - Example 2- Memory training (16-21).txt 13.3 kB
Lectures/24 - 2 - Examples (10-21).srt 13.3 kB
Lectures/3 - 1 - Example 1- Personality (9-37).srt 12.8 kB
Labs/26 - 7 - Lab 7- Moderation and mediation (15-48).txt 12.4 kB
Lectures/12 - 1 - Multiple regression (15-28).txt 12.1 kB
Lectures/20 - 2 - Chi-square test of independence (10-07).srt 12.1 kB
Lectures/3 - 2 - Example 2- Intelligence (9-09).srt 11.9 kB
Lectures/16 - 1 - Introduction (14-12).txt 11.8 kB
Lectures/18 - 2 - Example (8-43).srt 11.7 kB
Lectures/4 - 1 - Types of variables (14-53).txt 11.7 kB
Lectures/12 - 3 - Estimation of coefficients (9-34).srt 11.7 kB
Lectures/23 - 2 - Examples (14-28).txt 11.5 kB
Lectures/1 - 1 - Course introduction (14-22).txt 11.5 kB
Lectures/14 - 2 - Centering predictors (15-15).txt 11.4 kB
Lectures/15 - 2 - Path analysis (14-41).txt 11.4 kB
Lectures/25 - 2 - Simple and multiple regression (7-42).srt 11.1 kB
Lectures/10 - 2 - The central limit theorem (14-16).txt 10.9 kB
Lectures/24 - 1 - Overview (8-32).srt 10.8 kB
Lectures/12 - 2 - Matrix algebra (14-50).txt 10.6 kB
Lectures/22 - 1 - Assumptions (12-36).txt 10.5 kB
Lectures/13 - 1 - The general linear model (7-55).srt 10.4 kB
Lectures/16 - 2 - Dependent t-tests (12-48).txt 10.3 kB
Labs/26 - 9 - Lab 9- Factorial ANOVA (12-16).txt 10.2 kB
Lectures/13 - 2 - Dummy coding (12-24).txt 10.0 kB
Lectures/21 - 1 - Overview (12-15).txt 9.7 kB
Lectures/19 - 2 - Repeated measures ANOVA example (11-36).txt 9.6 kB
Lectures/21 - 2 - Example (11-57).txt 9.2 kB
Lectures/20 - 1 - Chi-square goodness of fit (11-27).txt 9.1 kB
Lectures/3 - 3 - Example 3- Sports-related concussion (11-24).txt 9.1 kB
Lectures/10 - 1 - Sampling distributions (11-51).txt 9.0 kB
Lectures/14 - 3 - Example 2 (6-44).srt 8.8 kB
Labs/26 - 1 - Lab 1- Introduction to R (12-03).txt 8.8 kB
Lectures/4 - 3 - Scales of measurement (6-46).srt 8.8 kB
Lectures/23 - 1 - Parametric vs. non-parametric statistics (10-22).txt 8.7 kB
Lectures/22 - 2 - Transformations (6-37).srt 8.6 kB
Lectures/2 - 1 - Example 1- Polio vaccine (11-17).txt 8.5 kB
Lectures/25 - 3 - Group comparisons t-tests and ANOVA (5-52).srt 8.4 kB
Lectures/11 - 2 - Confidence intervals for regression coefficients (10-23).txt 8.3 kB
Lectures/24 - 2 - Examples (10-21).txt 8.2 kB
Lectures/2 - 3 - Example 3- The concept of random (6-27).srt 8.0 kB
Lectures/3 - 1 - Example 1- Personality (9-37).txt 7.8 kB
Lectures/20 - 2 - Chi-square test of independence (10-07).txt 7.3 kB
Lectures/25 - 1 - Research methods and descriptive statistics (5-32).srt 7.3 kB
Lectures/3 - 2 - Example 2- Intelligence (9-09).txt 7.3 kB
Lectures/18 - 2 - Example (8-43).txt 7.1 kB
Lectures/12 - 3 - Estimation of coefficients (9-34).txt 7.0 kB
Lectures/25 - 2 - Simple and multiple regression (7-42).txt 6.8 kB
Lectures/24 - 1 - Overview (8-32).txt 6.7 kB
Lectures/13 - 1 - The general linear model (7-55).txt 6.4 kB
Lectures/25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).srt 5.7 kB
Data for Labs/datafiles%2FStats1.13.Lab.07.txt 5.4 kB
Lectures/4 - 3 - Scales of measurement (6-46).txt 5.3 kB
Lectures/22 - 2 - Transformations (6-37).txt 5.3 kB
Lectures/14 - 3 - Example 2 (6-44).txt 5.3 kB
Lectures/25 - 3 - Group comparisons t-tests and ANOVA (5-52).txt 5.1 kB
Lectures/2 - 3 - Example 3- The concept of random (6-27).txt 4.8 kB
Lectures/25 - 1 - Research methods and descriptive statistics (5-32).txt 4.5 kB
Data for Labs/datafiles%2FStats1.13.Lab.09.txt 3.9 kB
Data for Labs/supplemental-Stats1.13.Lab.02.R 3.8 kB
Lectures/25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).txt 3.6 kB
Data for Labs/supplemental-Stats1.13.Lab.03.R 3.0 kB
Data for Labs/supplemental-Stats1.13.Lab.04.R 2.8 kB
Data for Labs/datafiles%2FStats1.13.Lab.02.txt 2.5 kB
Data for Labs/datafiles%2FStats1.13.Lab.04.txt 2.4 kB
Data for Labs/datafiles%2FStats1.13.Lab.05.txt 2.4 kB
Data for Labs/datafiles%2FStats1.13.Lab.07b.txt 2.4 kB
Data for Labs/datafiles%2FStats1.13.Lab.08.txt 1.8 kB
Data for Labs/datafiles%2FStats1.13.Lab.06.txt 1.8 kB
Data for Labs/datafiles%2FStats1.13.Lab.10.txt 1.8 kB
Data for Labs/supplemental-Stats1.13.Lab.01.R 1.3 kB

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