A series of video lectures created to assist users with SAS, R, SPSS, and Python.

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23. Introduction to Statistical Hypothesis Testing (Alpha, CI, P-Value, Direction, Tails)
27:30
23. Introduction to Statistical Hypothesis Testing (Alpha, CI, P-Value, Direction, Tails)
22. Confidence Interval of the Mean With Examples in R and RCommander
15:43
22. Confidence Interval of the Mean With Examples in R and RCommander
21. Central Limit Theorem and Point Estimate with Examples in R
12:41
21. Central Limit Theorem and Point Estimate with Examples in R
20. Differentiating Between Normal Distribution, Poisson Distribution, Binomial Distribution (FAQ)
7:52
20. Differentiating Between Normal Distribution, Poisson Distribution, Binomial Distribution (FAQ)
19. The Poisson Distribution in RCommander (w/ examples)
7:00
19. The Poisson Distribution in RCommander (w/ examples)
18. Learn The Poisson Distribution in the R Programming Language (w/ examples)
13:39
18. Learn The Poisson Distribution in the R Programming Language (w/ examples)
17. Calculating Binomial Probabilities with RCommander
13:56
17. Calculating Binomial Probabilities with RCommander
16. Introduction to The Binomial Distribution with Examples in R
19:27
16. Introduction to The Binomial Distribution with Examples in R
15. The Normal Distribution - Normal vs Parametric vs. Non-Parametric - The Avian Test (Pt. 3)
8:54
15. The Normal Distribution - Normal vs Parametric vs. Non-Parametric - The Avian Test (Pt. 3)
14. The Normal Distribution - Testing for Normality - With Examples in RCommander (Pt. 3)
19:18
14. The Normal Distribution - Testing for Normality - With Examples in RCommander (Pt. 3)
13. The Normal Distribution - Determining the Probability of Events w/ Examples in RCommander (Pt.2)
22:59
13. The Normal Distribution - Determining the Probability of Events w/ Examples in RCommander (Pt.2)
12. Introduction to The Normal Distribution with Examples in RCommander (Pt. 1)
30:36
12. Introduction to The Normal Distribution with Examples in RCommander (Pt. 1)
11. Introduction to Skewed Data and Percentile (R Programming Language)
26:07
11. Introduction to Skewed Data and Percentile (R Programming Language)
10. An Overview of General Statistical Concepts: Event Type, Relative Risk, Sample Space, False Pos
17:35
10. An Overview of General Statistical Concepts: Event Type, Relative Risk, Sample Space, False Pos
9. Generating Summary Statistics in RCommander (Frequency, Bar Graph, Histogram, Box & Whisker)
21:21
9. Generating Summary Statistics in RCommander (Frequency, Bar Graph, Histogram, Box & Whisker)
8. Understanding Box and Whisker Plots, Identifying Outliers in Excel, Interquartile Range
30:35
8. Understanding Box and Whisker Plots, Identifying Outliers in Excel, Interquartile Range
7. Introduction to Mean, Median, Mode, Variance, and Standard Deviation
20:08
7. Introduction to Mean, Median, Mode, Variance, and Standard Deviation
6. Introduction to Test Specificity, Histograms, Odds Ratio, and Contingency Tables
20:48
6. Introduction to Test Specificity, Histograms, Odds Ratio, and Contingency Tables
5. How to Import Data into RCommander
4:38
5. How to Import Data into RCommander
4. Statistical Study and Research Design - Controlled Experiment, Blind Test, Comparative, etc.
12:13
4. Statistical Study and Research Design - Controlled Experiment, Blind Test, Comparative, etc.
3. Statistical Sampling Designs - Systematic, Stratified, Simple, Cluster, Two Stage Cluster
9:28
3. Statistical Sampling Designs - Systematic, Stratified, Simple, Cluster, Two Stage Cluster
2. Statistical Variable Types and Classifications (Ratio, Interval, Ordinal, Nominal) IV vs. DV
29:19
2. Statistical Variable Types and Classifications (Ratio, Interval, Ordinal, Nominal) IV vs. DV
1. How to Install R, RStudio, and RCommander
10:12
1. How to Install R, RStudio, and RCommander
Tips for Running SAS MACROS Overnight
12:33
Tips for Running SAS MACROS Overnight
SAS %MACRO Basics
8:41
SAS %MACRO Basics
Joining (SAS) Tables with PROC SQL
14:11
Joining (SAS) Tables with PROC SQL
Saving SAS Output with the Output Delivery System (ODS)
13:34
Saving SAS Output with the Output Delivery System (ODS)
Graphing Variable Means with (SAS) SGPLOT
7:55
Graphing Variable Means with (SAS) SGPLOT
How to Search Across Variable Row Observations with SAS Arrays
9:07
How to Search Across Variable Row Observations with SAS Arrays
Introduction to PROC TABULATE (SAS)
20:24
Introduction to PROC TABULATE (SAS)