The videos below are part of a remotely delivered statistics course that follows the text Probability and Statistics for Engineering and the Sciences, by Jay Devore, Brooks/Cole, 2007. The videos were produced with Camtasia studio. The slides were produced with the LaTeX beamer package. Introduction. This is an overview of the course. Video. (26:35min, 27MB)                   Slides.   Probability. Sample Spaces Video. (12:30min, 15MB)                  Slides. AxiomsVideo. (27:25min, 29MB)                  Slides.                    Simulation for populations vs. probability. Counting TechniquesVideo. (16:52min, 17MB)                  Slides. Conditional ProbabilityVideo. (41:50min, 43MB)                  Slides. IndependenceVideo. (21:54min, 33MB)                  Slides.   Discrete Random Variables. Random VariablesVideo. (10:53min, 11MB)                  Slides. Discrete Random Variables and their Probability Distributions (review summation notation if needed)Video. (18:11min, 19MB)                  Slides. Expected Values (review series of numbers if needed)Video 1. (33:58min, 35MB)               Video 2. (19:01min, 19MB)           Slides.Simulation for populations vs. probability. Binomial DistributionVideo. (33:29min, 34MB)                  Slides. Hypergeometric DistributionVideo. (15:09min, 16MB)                  Slides. Poisson DistributionVideo. (33:38min, 31MB)                  Slides.   Continuous Random Variables. Continuous Random Variables and Their Probability Density FunctionsVideo. (27:07min,28MB)                  Slides. Cumulative Distribution FunctionsVideo. (22:08min, 23MB)                 Slides. Expected ValuesVideo. (30:52min, 30MB)                 Slides. Normal DistributionsVideo 1. (23:27min, 22MB)    Video 2. (5:42min, 6MB)            Slides. Exponential and Gamma DistributionsVideo. (30:57min, 30MB)                 Slides. Weibull, Lognormal and Beta DistributionVideo. (31:23min, 34MB)                 Slides. Probability Plots (There was no need for my doubts at the end. Probability plots always plot observations over percentiles. I was getting tired.)Video. (32:31min, 31MB)                 Slides.   Joint Probability Distributions and Random Samples. Random VectorsVideo 1. (34:16min, 33MB)    Video 2. (19:01min, 20MB)            Slides. Expected Values, Covariance, CorrelationVideo. (35:05min, 42MB)                 Slides. StatisticsVideo. (25:31min, 28MB)                 Slides. Sample Mean, Central Limit TheoremVideo. (32:39min, 44MB)                 Slides.Simulation for distribution of sample mean. Linear Combinations of Random VariablesVideo. (12:13min, 11MB)                  Slides.   Confidence Intervals. Confidence Intervals for Means and ProportionsVideo. (51:41min, 54MB)                  Slides. Confidence Intervals for Normal PopulationsVideo. (21:01min, 23MB)                 Slides. Confidence Intervals for the Variance and Standard Deviation of a Normal PopulationVideo. (8:43min, 10MB)                  Slides.     Hypothesis Testing. Hypothesis TestsVideo. (41:14min, 46MB)                  Slides. Hypothesis Tests for the MeanVideo 1. (12:07min, 12MB)    Video 2. (11:23min, 11MB)    Video 3. (9:19min, 12MB)                  Slides. Hypothesis Tests for ProportionsVideo. (11:11min, 13MB)                  Slides. P-ValuesVideo. (13:12min, 14MB)                  Slides.   Miscellaneous Advanced Topics. Analysis of Variance (ANOVA) Video. (26:00min, 26MB)                  Slides. Linear Regression (Introduction)Video. ( 7:42min,  9MB)                  Slides. Linear Regression (Parameter Estimation)Video. (20:58min, 19MB)                  Slides. Goodness of Fit TestsVideo. (13:32min, 16MB)                  Slides.     Miscellaneous Review Items. Summation Notation. Video. (17:43min, 16MB)                  Slides. Series of Numbers Video. (30:19min, 27MB)                  Slides.