|









|
|
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.
-
-
-
-
-
Discrete
Random Variables.
-
-
-
-
-
-
Continuous
Random Variables.
-
Continuous Random Variables and Their
Probability Density Functions Video. (27:07min,28MB)
Slides.
-
-
-
-
Exponential and Gamma Distributions Video. (30:57min,
30MB)
Slides.
-
Weibull, Lognormal and Beta
Distribution Video. (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.
-
-
Expected Values, Covariance,
Correlation Video. (35:05min,
42MB)
Slides.
-
-
-
Linear Combinations of Random
Variables Video. (12:13min,
11MB)
Slides.
Confidence
Intervals.
-
Confidence Intervals for Means and
Proportions Video. (51:41min,
54MB)
Slides.
-
Confidence Intervals for Normal
Populations Video. (21:01min,
23MB)
Slides.
-
Confidence Intervals for the Variance and
Standard Deviation of a Normal Population Video. (8:43min,
10MB)
Slides.
Hypothesis
Testing.
-
-
-
-
Miscellaneous Advanced
Topics.
-
-
-
Linear Regression (Parameter
Estimation) Video. (20:58min,
19MB)
Slides.
-
Miscellaneous
Review Items.
-
-
|