Coursera Statistics | D86A8B57A483F1AB9F78121685123DF0DC93C626

Coursera Statistics

Name	Coursera-Statistics	DOWNLOAD Copy Link
Total Size	1.3 GB
Total Files	193
Last Seen	2024-10-07 23:31
Hash	D86A8B57A483F1AB9F78121685123DF0DC93C626

/Data for Labs/
datafiles%2FStats1.13.Lab.02.txt	2.5 KB
datafiles%2FStats1.13.Lab.04.txt	2.4 KB
datafiles%2FStats1.13.Lab.05.txt	2.4 KB
datafiles%2FStats1.13.Lab.06.txt	1.8 KB
datafiles%2FStats1.13.Lab.07.txt	5.4 KB
datafiles%2FStats1.13.Lab.07b.txt	2.4 KB
datafiles%2FStats1.13.Lab.08.txt	1.8 KB
datafiles%2FStats1.13.Lab.09.txt	3.9 KB
datafiles%2FStats1.13.Lab.10.txt	1.8 KB
supplemental-Stats1.13.Lab.01.R	1.3 KB
supplemental-Stats1.13.Lab.02.R	3.8 KB
supplemental-Stats1.13.Lab.03.R	3.0 KB
supplemental-Stats1.13.Lab.04.R	2.8 KB
/Labs/
26 - 1 - Lab 1- Introduction to R (12-03).mp4	12.1 MB
26 - 1 - Lab 1- Introduction to R (12-03).srt	14.6 KB
26 - 1 - Lab 1- Introduction to R (12-03).txt	8.8 KB
26 - 10 - Lab 10- Binary logistic regression (18-56).srt	25.1 KB
26 - 10 - Lab 10- Binary logistic regression (18-56).txt	15.0 KB
26 - 2 - Lab 2- Histograms and summary statistics (37-04).mp4	38.8 MB
26 - 2 - Lab 2- Histograms and summary statistics (37-04).srt	48.5 KB
26 - 2 - Lab 2- Histograms and summary statistics (37-04).txt	29.2 KB
26 - 3 - Lab 3- Scatterplots and correlations (20-46).mp4	23.8 MB
26 - 3 - Lab 3- Scatterplots and correlations (20-46).srt	28.8 KB
26 - 3 - Lab 3- Scatterplots and correlations (20-46).txt	17.2 KB
26 - 4 - Lab 4- Regression (28-33).mp4	29.7 MB
26 - 4 - Lab 4- Regression (28-33).srt	39.0 KB
26 - 4 - Lab 4- Regression (28-33).txt	23.6 KB
26 - 5 - Lab 5- Confidence intervals (30-10).srt	39.3 KB
26 - 5 - Lab 5- Confidence intervals (30-10).txt	23.1 KB
26 - 6 - Lab 6- Multiple regression (21-45).srt	28.3 KB
26 - 6 - Lab 6- Multiple regression (21-45).txt	16.7 KB
26 - 7 - Lab 7- Moderation and mediation (15-48).srt	20.9 KB
26 - 7 - Lab 7- Moderation and mediation (15-48).txt	12.4 KB
26 - 8 - Lab 8- Group comparisons (18-18).srt	26.8 KB
26 - 8 - Lab 8- Group comparisons (18-18).txt	16.3 KB
26 - 9 - Lab 9- Factorial ANOVA (12-16).srt	16.8 KB
26 - 9 - Lab 9- Factorial ANOVA (12-16).txt	10.2 KB
/Lectures/
1 - 1 - Course introduction (14-22).mp4	45.1 MB
1 - 1 - Course introduction (14-22).srt	18.8 KB
1 - 1 - Course introduction (14-22).txt	11.5 KB
10 - 1 - Sampling distributions (11-51).mp4	23.3 MB
10 - 1 - Sampling distributions (11-51).srt	14.7 KB
10 - 1 - Sampling distributions (11-51).txt	9.0 KB
10 - 2 - The central limit theorem (14-16).mp4	27.2 MB
10 - 2 - The central limit theorem (14-16).srt	17.9 KB
10 - 2 - The central limit theorem (14-16).txt	10.9 KB
11 - 1 - Confidence intervals for sample means (18-19).srt	24.1 KB
11 - 1 - Confidence intervals for sample means (18-19).txt	14.5 KB
11 - 2 - Confidence intervals for regression coefficients (10-23).mp4	19.9 MB
11 - 2 - Confidence intervals for regression coefficients (10-23).srt	13.8 KB
11 - 2 - Confidence intervals for regression coefficients (10-23).txt	8.3 KB
12 - 1 - Multiple regression (15-28).mp4	31.2 MB
12 - 1 - Multiple regression (15-28).srt	19.7 KB
12 - 1 - Multiple regression (15-28).txt	12.1 KB
12 - 2 - Matrix algebra (14-50).mp4	26.2 MB
12 - 2 - Matrix algebra (14-50).srt	17.4 KB
12 - 2 - Matrix algebra (14-50).txt	10.6 KB
12 - 3 - Estimation of coefficients (9-34).mp4	17.0 MB
12 - 3 - Estimation of coefficients (9-34).srt	11.7 KB
12 - 3 - Estimation of coefficients (9-34).txt	7.0 KB
13 - 1 - The general linear model (7-55).mp4	16.1 MB
13 - 1 - The general linear model (7-55).srt	10.4 KB
13 - 1 - The general linear model (7-55).txt	6.4 KB
13 - 2 - Dummy coding (12-24).mp4	23.4 MB
13 - 2 - Dummy coding (12-24).srt	16.3 KB
13 - 2 - Dummy coding (12-24).txt	10.0 KB
14 - 1 - Example 1 (27-13).srt	37.1 KB
14 - 1 - Example 1 (27-13).txt	22.4 KB
14 - 2 - Centering predictors (15-15).mp4	30.6 MB
14 - 2 - Centering predictors (15-15).srt	18.5 KB
14 - 2 - Centering predictors (15-15).txt	11.4 KB
14 - 3 - Example 2 (6-44).mp4	13.3 MB
14 - 3 - Example 2 (6-44).srt	8.8 KB
14 - 3 - Example 2 (6-44).txt	5.3 KB
15 - 1 - Standard approach (18-33).srt	23.3 KB
15 - 1 - Standard approach (18-33).txt	14.2 KB
15 - 2 - Path analysis (14-41).mp4	29.9 MB
15 - 2 - Path analysis (14-41).srt	18.9 KB
15 - 2 - Path analysis (14-41).txt	11.4 KB
16 - 1 - Introduction (14-12).mp4	28.7 MB
16 - 1 - Introduction (14-12).srt	19.6 KB
16 - 1 - Introduction (14-12).txt	11.8 KB
16 - 2 - Dependent t-tests (12-48).mp4	24.0 MB
16 - 2 - Dependent t-tests (12-48).srt	17.2 KB
16 - 2 - Dependent t-tests (12-48).txt	10.3 KB
16 - 3 - Independent t-tests (18-50).srt	25.4 KB
16 - 3 - Independent t-tests (18-50).txt	15.1 KB
17 - 1 - One-way ANOVA (22-17).srt	30.5 KB
17 - 1 - One-way ANOVA (22-17).txt	18.3 KB
17 - 2 - Post-hoc tests (7-35).mp4	14.7 MB
18 - 2 - Example (8-43).mp4	17.1 MB
18 - 2 - Example (8-43).srt	11.7 KB
18 - 2 - Example (8-43).txt	7.1 KB
19 - 1 - Repeated measures- Pros and cons (21-33).srt	29.9 KB
19 - 1 - Repeated measures- Pros and cons (21-33).txt	17.9 KB
19 - 2 - Repeated measures ANOVA example (11-36).mp4	24.0 MB
19 - 2 - Repeated measures ANOVA example (11-36).srt	16.1 KB
19 - 2 - Repeated measures ANOVA example (11-36).txt	9.6 KB
2 - 1 - Example 1- Polio vaccine (11-17).mp4	34.0 MB
2 - 1 - Example 1- Polio vaccine (11-17).srt	13.8 KB
2 - 1 - Example 1- Polio vaccine (11-17).txt	8.5 KB
2 - 2 - Example 2- Memory training (16-21).mp4	44.1 MB
2 - 2 - Example 2- Memory training (16-21).srt	21.8 KB
2 - 2 - Example 2- Memory training (16-21).txt	13.3 KB
2 - 3 - Example 3- The concept of random (6-27).mp4	17.2 MB
2 - 3 - Example 3- The concept of random (6-27).srt	8.0 KB
2 - 3 - Example 3- The concept of random (6-27).txt	4.8 KB
20 - 1 - Chi-square goodness of fit (11-27).mp4	22.7 MB
20 - 1 - Chi-square goodness of fit (11-27).srt	14.6 KB
20 - 1 - Chi-square goodness of fit (11-27).txt	9.1 KB
20 - 2 - Chi-square test of independence (10-07).mp4	19.0 MB
20 - 2 - Chi-square test of independence (10-07).srt	12.1 KB
20 - 2 - Chi-square test of independence (10-07).txt	7.3 KB
21 - 1 - Overview (12-15).mp4	23.2 MB
21 - 1 - Overview (12-15).srt	16.1 KB
21 - 1 - Overview (12-15).txt	9.7 KB
21 - 2 - Example (11-57).mp4	22.6 MB
21 - 2 - Example (11-57).srt	15.5 KB
21 - 2 - Example (11-57).txt	9.2 KB
22 - 1 - Assumptions (12-36).mp4	23.6 MB
22 - 1 - Assumptions (12-36).srt	17.0 KB
22 - 1 - Assumptions (12-36).txt	10.5 KB
22 - 2 - Transformations (6-37).mp4	12.3 MB
22 - 2 - Transformations (6-37).srt	8.6 KB
22 - 2 - Transformations (6-37).txt	5.3 KB
23 - 1 - Parametric vs. non-parametric statistics (10-22).mp4	18.4 MB
23 - 1 - Parametric vs. non-parametric statistics (10-22).srt	14.5 KB
23 - 1 - Parametric vs. non-parametric statistics (10-22).txt	8.7 KB
23 - 2 - Examples (14-28).mp4	25.7 MB
23 - 2 - Examples (14-28).srt	18.9 KB
23 - 2 - Examples (14-28).txt	11.5 KB
24 - 1 - Overview (8-32).mp4	15.2 MB
24 - 1 - Overview (8-32).srt	10.8 KB
24 - 1 - Overview (8-32).txt	6.7 KB
24 - 2 - Examples (10-21).mp4	18.0 MB
24 - 2 - Examples (10-21).srt	13.3 KB
24 - 2 - Examples (10-21).txt	8.2 KB
25 - 1 - Research methods and descriptive statistics (5-32).mp4	10.0 MB
25 - 1 - Research methods and descriptive statistics (5-32).srt	7.3 KB
25 - 1 - Research methods and descriptive statistics (5-32).txt	4.5 KB
25 - 2 - Simple and multiple regression (7-42).mp4	13.6 MB
25 - 2 - Simple and multiple regression (7-42).srt	11.1 KB
25 - 2 - Simple and multiple regression (7-42).txt	6.8 KB
25 - 3 - Group comparisons t-tests and ANOVA (5-52).mp4	10.4 MB
25 - 3 - Group comparisons t-tests and ANOVA (5-52).srt	8.4 KB
25 - 3 - Group comparisons t-tests and ANOVA (5-52).txt	5.1 KB
25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).mp4	7.3 MB
25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).srt	5.7 KB
25 - 4 - Procedures for non-normal distributions and non-linear models (4-12).txt	3.6 KB
3 - 1 - Example 1- Personality (9-37).mp4	24.7 MB
3 - 1 - Example 1- Personality (9-37).srt	12.8 KB
3 - 1 - Example 1- Personality (9-37).txt	7.8 KB
3 - 2 - Example 2- Intelligence (9-09).mp4	24.2 MB
3 - 2 - Example 2- Intelligence (9-09).srt	11.9 KB
3 - 2 - Example 2- Intelligence (9-09).txt	7.3 KB
3 - 3 - Example 3- Sports-related concussion (11-24).mp4	33.1 MB
3 - 3 - Example 3- Sports-related concussion (11-24).srt	15.3 KB
3 - 3 - Example 3- Sports-related concussion (11-24).txt	9.1 KB
4 - 1 - Types of variables (14-53).mp4	43.1 MB
4 - 1 - Types of variables (14-53).srt	19.2 KB
4 - 1 - Types of variables (14-53).txt	11.7 KB
4 - 2 - Distributions- Histograms (22-39).mp4	58.6 MB
4 - 2 - Distributions- Histograms (22-39).srt	30.6 KB
4 - 2 - Distributions- Histograms (22-39).txt	18.3 KB
4 - 3 - Scales of measurement (6-46).mp4	18.4 MB
4 - 3 - Scales of measurement (6-46).srt	8.8 KB
4 - 3 - Scales of measurement (6-46).txt	5.3 KB
/Presentations/
lecture_slides-Stats1.13.L00.AIR.pdf	2.6 MB
lecture_slides-Stats1.13.L01.pdf	3.4 MB
lecture_slides-Stats1.13.L02.pdf	3.4 MB
lecture_slides-Stats1.13.L03.pdf	6.7 MB
lecture_slides-Stats1.13.L04.pdf	4.0 MB
lecture_slides-Stats1.13.L05.pdf	6.0 MB
lecture_slides-Stats1.13.L06.pdf	4.9 MB
lecture_slides-Stats1.13.L07.pdf	5.4 MB
lecture_slides-Stats1.13.L08.pdf	2.9 MB
lecture_slides-Stats1.13.L09.pdf	3.4 MB
lecture_slides-Stats1.13.L10.pdf	4.0 MB
lecture_slides-Stats1.13.L11.pdf	5.8 MB
lecture_slides-Stats1.13.L12.pdf	2.9 MB
lecture_slides-Stats1.13.L13.pdf	5.5 MB
lecture_slides-Stats1.13.L14.pdf	4.8 MB
lecture_slides-Stats1.13.L15.pdf	9.1 MB
lecture_slides-Stats1.13.L16.pdf	3.7 MB
lecture_slides-Stats1.13.L17.pdf	3.9 MB
lecture_slides-Stats1.13.L18.pdf	3.7 MB
lecture_slides-Stats1.13.L19.pdf	6.2 MB
lecture_slides-Stats1.13.L20.pdf	6.6 MB
lecture_slides-Stats1.13.L21.pdf	5.0 MB
lecture_slides-Stats1.13.L22.pdf	5.6 MB
lecture_slides-Stats1.13.L23.pdf	5.1 MB
lecture_slides-Stats1.13.L24.pdf	4.1 MB
/
Statistics (4th ed).pdf	130.2 MB
Total files 193