You will never go through a day without using or thinking about probability. When was the last time you checked the weather forecast or make a decision on driving directions? We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these Probability and Statistics Video tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics.
This zip file of probability and statistics lesson videos from Khan Academy provide all learning content that is needed to learn and master this area of mathematics. To access the videos, you’ll need to download this zip file (749MB in size), and after unzipping it, the videos and content will be in a folder named “172 Probability and Statistics Videos by Khan Academy”. Simply click or select the “index.html” file to view the videos content home page in your browser, as seen in the screen shot below. Once downloaded and unzipped, no internet connect is needed to view these. Additionally, here is a nice Stats and Probability Cheat Sheet that will help you.
Topics of these Probability and Statistics Video Tutorials
Independent and dependent events (38 videos)
Introduction to probability. Independent and dependent events. Compound events. Mutual exclusive events. Addition rule for probability.
Probability and combinatorics (21 videos)
Permutations and combinations. Using combinatorics to solve questions in probability.
Statistical studies (13 videos)
Descriptive statistics (25 videos)
Measures of central tendency and dispersion. Mean, median, mode, variance, and standard deviation.
Random variables and probability distributions (17 videos)
Random variables. Expected value. Probability distributions (both discrete and continuous). Binomial distribution. Poisson processes.
Regression (18 videos)
Fitting a line to points. Linear regression. R-squared.
Inferential statistics (40 videos)
Making inferences based on sample data. Confidence intervals. Margin of error. Hypothesis testing.
– love learning -your best ed lessons guide, Scott