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Coursera-Statistics

File Name
Size
Data for Labs/datafiles%2FStats1.13.Lab.02.txt
2.4 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.06.txt
1.8 kB
Data for Labs/datafiles%2FStats1.13.Lab.07.txt
5.3 kB
Data for Labs/datafiles%2FStats1.13.Lab.07b.txt
2.3 kB
Data for Labs/datafiles%2FStats1.13.Lab.08.txt
1.8 kB
Data for Labs/datafiles%2FStats1.13.Lab.09.txt
3.8 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
Data for Labs/supplemental-Stats1.13.Lab.02.R
3.7 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
Labs/26 - 1 - Lab 1- Introduction to R (12-03).mp4
12 MB
Labs/26 - 1 - Lab 1- Introduction to R (12-03).srt
14 kB
Labs/26 - 1 - Lab 1- Introduction to R (12-03).txt
8.6 kB
Labs/26 - 10 - Lab 10- Binary logistic regression (18-56).srt
24 kB
Labs/26 - 10 - Lab 10- Binary logistic regression (18-56).txt
15 kB
Labs/26 - 2 - Lab 2- Histograms and summary statistics (37-04).mp4
37 MB
Labs/26 - 2 - Lab 2- Histograms and summary statistics (37-04).srt
47 kB
Labs/26 - 2 - Lab 2- Histograms and summary statistics (37-04).txt
28 kB
Labs/26 - 3 - Lab 3- Scatterplots and correlations (20-46).mp4
23 MB
Labs/26 - 3 - Lab 3- Scatterplots and correlations (20-46).srt
28 kB
Labs/26 - 3 - Lab 3- Scatterplots and correlations (20-46).txt
17 kB
Labs/26 - 4 - Lab 4- Regression (28-33).mp4
28 MB
Labs/26 - 4 - Lab 4- Regression (28-33).srt
38 kB
Labs/26 - 4 - Lab 4- Regression (28-33).txt
23 kB
Labs/26 - 5 - Lab 5- Confidence intervals (30-10).srt
38 kB
Labs/26 - 5 - Lab 5- Confidence intervals (30-10).txt
23 kB
Labs/26 - 6 - Lab 6- Multiple regression (21-45).srt
28 kB
Labs/26 - 6 - Lab 6- Multiple regression (21-45).txt
16 kB
Labs/26 - 7 - Lab 7- Moderation and mediation (15-48).srt
20 kB
Labs/26 - 7 - Lab 7- Moderation and mediation (15-48).txt
12 kB
Labs/26 - 8 - Lab 8- Group comparisons (18-18).srt
26 kB
Labs/26 - 8 - Lab 8- Group comparisons (18-18).txt
16 kB
Labs/26 - 9 - Lab 9- Factorial ANOVA (12-16).srt
16 kB
Labs/26 - 9 - Lab 9- Factorial ANOVA (12-16).txt
10 kB
Lectures/1 - 1 - Course introduction (14-22).mp4
43 MB
Lectures/1 - 1 - Course introduction (14-22).srt
18 kB
Lectures/1 - 1 - Course introduction (14-22).txt
11 kB
Lectures/10 - 1 - Sampling distributions (11-51).mp4
22 MB
Lectures/10 - 1 - Sampling distributions (11-51).srt
14 kB
Lectures/10 - 1 - Sampling distributions (11-51).txt
8.8 kB
Lectures/10 - 2 - The central limit theorem (14-16).mp4
26 MB
Lectures/10 - 2 - The central limit theorem (14-16).srt
18 kB
Lectures/10 - 2 - The central limit theorem (14-16).txt
11 kB
Lectures/11 - 1 - Confidence intervals for sample means (18-19).srt
24 kB
Lectures/11 - 1 - Confidence intervals for sample means (18-19).txt
14 kB
Lectures/11 - 2 - Confidence intervals for regression coefficients (10-23).mp4
19 MB
Lectures/11 - 2 - Confidence intervals for regression coefficients (10-23).srt
14 kB
Lectures/11 - 2 - Confidence intervals for regression coefficients (10-23).txt
8.1 kB
Lectures/12 - 1 - Multiple regression (15-28).mp4
30 MB
Lectures/12 - 1 - Multiple regression (15-28).srt
19 kB
Lectures/12 - 1 - Multiple regression (15-28).txt
12 kB
Lectures/12 - 2 - Matrix algebra (14-50).mp4
25 MB
Lectures/12 - 2 - Matrix algebra (14-50).srt
17 kB
Lectures/12 - 2 - Matrix algebra (14-50).txt
10 kB
Lectures/12 - 3 - Estimation of coefficients (9-34).mp4
16 MB
Lectures/12 - 3 - Estimation of coefficients (9-34).srt
11 kB
Lectures/12 - 3 - Estimation of coefficients (9-34).txt
6.8 kB
Lectures/13 - 1 - The general linear model (7-55).mp4
15 MB
Lectures/13 - 1 - The general linear model (7-55).srt
10 kB
Lectures/13 - 1 - The general linear model (7-55).txt
6.2 kB
Lectures/13 - 2 - Dummy coding (12-24).mp4
22 MB
Lectures/13 - 2 - Dummy coding (12-24).srt
16 kB
Lectures/13 - 2 - Dummy coding (12-24).txt
9.8 kB
Lectures/14 - 1 - Example 1 (27-13).srt
36 kB
Lectures/14 - 1 - Example 1 (27-13).txt
22 kB
Lectures/14 - 2 - Centering predictors (15-15).mp4
29 MB
Lectures/14 - 2 - Centering predictors (15-15).srt
18 kB
Lectures/14 - 2 - Centering predictors (15-15).txt
11 kB
Lectures/14 - 3 - Example 2 (6-44).mp4
13 MB
Lectures/14 - 3 - Example 2 (6-44).srt
8.6 kB
Lectures/14 - 3 - Example 2 (6-44).txt
5.1 kB
Lectures/15 - 1 - Standard approach (18-33).srt
23 kB
Lectures/15 - 1 - Standard approach (18-33).txt
14 kB
Lectures/15 - 2 - Path analysis (14-41).mp4
28 MB
Lectures/15 - 2 - Path analysis (14-41).srt
18 kB
Lectures/15 - 2 - Path analysis (14-41).txt
11 kB
Lectures/16 - 1 - Introduction (14-12).mp4
27 MB
Lectures/16 - 1 - Introduction (14-12).srt
19 kB
Lectures/16 - 1 - Introduction (14-12).txt
12 kB
Lectures/16 - 2 - Dependent t-tests (12-48).mp4
23 MB
Lectures/16 - 2 - Dependent t-tests (12-48).srt
17 kB
Lectures/16 - 2 - Dependent t-tests (12-48).txt
10 kB
Lectures/16 - 3 - Independent t-tests (18-50).srt
25 kB
Lectures/16 - 3 - Independent t-tests (18-50).txt
15 kB
Lectures/17 - 1 - One-way ANOVA (22-17).srt
30 kB
Lectures/17 - 1 - One-way ANOVA (22-17).txt
18 kB
Lectures/17 - 2 - Post-hoc tests (7-35).mp4
14 MB
Lectures/18 - 2 - Example (8-43).mp4
16 MB
Lectures/18 - 2 - Example (8-43).srt
12 kB
Lectures/18 - 2 - Example (8-43).txt
6.9 kB
Lectures/19 - 1 - Repeated measures- Pros and cons (21-33).srt
29 kB
Lectures/19 - 1 - Repeated measures- Pros and cons (21-33).txt
17 kB
Lectures/19 - 2 - Repeated measures ANOVA example (11-36).mp4
23 MB
Lectures/19 - 2 - Repeated measures ANOVA example (11-36).srt
16 kB
Lectures/19 - 2 - Repeated measures ANOVA example (11-36).txt
9.4 kB
Lectures/2 - 1 - Example 1- Polio vaccine (11-17).mp4
32 MB
Lectures/2 - 1 - Example 1- Polio vaccine (11-17).srt
14 kB
Lectures/2 - 1 - Example 1- Polio vaccine (11-17).txt
8.3 kB
Lectures/2 - 2 - Example 2- Memory training (16-21).mp4
42 MB
Lectures/2 - 2 - Example 2- Memory training (16-21).srt
21 kB
Lectures/2 - 2 - Example 2- Memory training (16-21).txt
13 kB
Lectures/2 - 3 - Example 3- The concept of random (6-27).mp4
16 MB
Lectures/2 - 3 - Example 3- The concept of random (6-27).srt
7.8 kB
Lectures/2 - 3 - Example 3- The concept of random (6-27).txt
4.7 kB
Lectures/20 - 1 - Chi-square goodness of fit (11-27).mp4
22 MB
Lectures/20 - 1 - Chi-square goodness of fit (11-27).srt
14 kB
Lectures/20 - 1 - Chi-square goodness of fit (11-27).txt
8.9 kB
Lectures/20 - 2 - Chi-square test of independence (10-07).mp4
18 MB
Lectures/20 - 2 - Chi-square test of independence (10-07).srt
12 kB
Lectures/20 - 2 - Chi-square test of independence (10-07).txt
7.2 kB
Lectures/21 - 1 - Overview (12-15).mp4
22 MB
Lectures/21 - 1 - Overview (12-15).srt
16 kB
Lectures/21 - 1 - Overview (12-15).txt
9.5 kB
Lectures/21 - 2 - Example (11-57).mp4
22 MB
Lectures/21 - 2 - Example (11-57).srt
15 kB
Lectures/21 - 2 - Example (11-57).txt
9.0 kB
Lectures/22 - 1 - Assumptions (12-36).mp4
22 MB
Lectures/22 - 1 - Assumptions (12-36).srt
17 kB
Lectures/22 - 1 - Assumptions (12-36).txt
10 kB
Lectures/22 - 2 - Transformations (6-37).mp4
12 MB
Lectures/22 - 2 - Transformations (6-37).srt
8.4 kB
Lectures/22 - 2 - Transformations (6-37).txt
5.2 kB
Lectures/23 - 1 - Parametric vs. non-parametric statistics (10-22).mp4
18 MB
Lectures/23 - 1 - Parametric vs. non-parametric statistics (10-22).srt
14 kB
Lectures/23 - 1 - Parametric vs. non-parametric statistics (10-22).txt
8.5 kB
Lectures/23 - 2 - Examples (14-28).mp4
24 MB
Lectures/23 - 2 - Examples (14-28).srt
18 kB
Lectures/23 - 2 - Examples (14-28).txt
11 kB
Lectures/24 - 1 - Overview (8-32).mp4
14 MB
Lectures/24 - 1 - Overview (8-32).srt
11 kB
Lectures/24 - 1 - Overview (8-32).txt
6.5 kB
Lectures/24 - 2 - Examples (10-21).mp4
17 MB
Lectures/24 - 2 - Examples (10-21).srt
13 kB
Lectures/24 - 2 - Examples (10-21).txt
8.0 kB
Lectures/25 - 1 - Research methods and descriptive statistics (5-32).mp4
9.5 MB
Lectures/25 - 1 - Research methods and descriptive statistics (5-32).srt
7.1 kB
Lectures/25 - 1 - Research methods and descriptive statistics (5-32).txt
4.4 kB
Lectures/25 - 2 - Simple and multiple regression (7-42).mp4
13 MB
Lectures/25 - 2 - Simple and multiple regression (7-42).srt
11 kB
Lectures/25 - 2 - Simple and multiple regression (7-42).txt
6.6 kB
Lectures/25 - 3 - Group comparisons t-tests and ANOVA (5-52).mp4
9.9 MB
Lectures/25 - 3 - Group comparisons t-tests and ANOVA (5-52).srt
8.2 kB
Lectures/25 - 3 - Group comparisons t-tests and ANOVA (5-52).txt
5.0 kB
Lectures/25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).mp4
7.0 MB
Lectures/25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).srt
5.6 kB
Lectures/25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).txt
3.5 kB
Lectures/3 - 1 - Example 1- Personality (9-37).mp4
24 MB
Lectures/3 - 1 - Example 1- Personality (9-37).srt
12 kB
Lectures/3 - 1 - Example 1- Personality (9-37).txt
7.6 kB
Lectures/3 - 2 - Example 2- Intelligence (9-09).mp4
23 MB
Lectures/3 - 2 - Example 2- Intelligence (9-09).srt
12 kB
Lectures/3 - 2 - Example 2- Intelligence (9-09).txt
7.1 kB
Lectures/3 - 3 - Example 3- Sports-related concussion (11-24).mp4
32 MB
Lectures/3 - 3 - Example 3- Sports-related concussion (11-24).srt
15 kB
Lectures/3 - 3 - Example 3- Sports-related concussion (11-24).txt
8.9 kB
Lectures/4 - 1 - Types of variables (14-53).mp4
41 MB
Lectures/4 - 1 - Types of variables (14-53).srt
19 kB
Lectures/4 - 1 - Types of variables (14-53).txt
12 kB
Lectures/4 - 2 - Distributions- Histograms (22-39).mp4
56 MB
Lectures/4 - 2 - Distributions- Histograms (22-39).srt
30 kB
Lectures/4 - 2 - Distributions- Histograms (22-39).txt
18 kB
Lectures/4 - 3 - Scales of measurement (6-46).mp4
18 MB
Lectures/4 - 3 - Scales of measurement (6-46).srt
8.6 kB
Lectures/4 - 3 - Scales of measurement (6-46).txt
5.2 kB
Presentations/lecture_slides-Stats1.13.L00.AIR.pdf
2.5 MB
Presentations/lecture_slides-Stats1.13.L01.pdf
3.3 MB
Presentations/lecture_slides-Stats1.13.L02.pdf
3.2 MB
Presentations/lecture_slides-Stats1.13.L03.pdf
6.4 MB
Presentations/lecture_slides-Stats1.13.L04.pdf
3.8 MB
Presentations/lecture_slides-Stats1.13.L05.pdf
5.7 MB
Presentations/lecture_slides-Stats1.13.L06.pdf
4.7 MB
Presentations/lecture_slides-Stats1.13.L07.pdf
5.1 MB
Presentations/lecture_slides-Stats1.13.L08.pdf
2.8 MB
Presentations/lecture_slides-Stats1.13.L09.pdf
3.3 MB
Presentations/lecture_slides-Stats1.13.L10.pdf
3.8 MB
Presentations/lecture_slides-Stats1.13.L11.pdf
5.5 MB
Presentations/lecture_slides-Stats1.13.L12.pdf
2.8 MB
Presentations/lecture_slides-Stats1.13.L13.pdf
5.3 MB
Presentations/lecture_slides-Stats1.13.L14.pdf
4.6 MB
Presentations/lecture_slides-Stats1.13.L15.pdf
8.7 MB
Presentations/lecture_slides-Stats1.13.L16.pdf
3.5 MB
Presentations/lecture_slides-Stats1.13.L17.pdf
3.7 MB
Presentations/lecture_slides-Stats1.13.L18.pdf
3.6 MB
Presentations/lecture_slides-Stats1.13.L19.pdf
5.9 MB
Presentations/lecture_slides-Stats1.13.L20.pdf
6.3 MB
Presentations/lecture_slides-Stats1.13.L21.pdf
4.8 MB
Presentations/lecture_slides-Stats1.13.L22.pdf
5.3 MB
Presentations/lecture_slides-Stats1.13.L23.pdf
4.9 MB
Presentations/lecture_slides-Stats1.13.L24.pdf
3.9 MB
Statistics (4th ed).pdf
124 MB