Find online courses made by experts from around the world.
Take your courses with you and learn anywhere, anytime.
Learn and practice real-world skills and achieve your goals.
Not for you? No problem.
30 day money back guarantee
Learn on the go.
Desktop, iOS and Android
Certificate of completion
|Introduction to descriptive statistics and central tendency. Ways to measure the average of a set: median, mean, mode|
|The difference between the mean of a sample and the mean of a population.|
|Variance of a population.|
|Using the variance of a sample to estimate the variance of a population|
|Review of what we've learned. Introduction to the standard deviation.|
|Playing with the formula for variance of a population.|
|Introduction to random variables and probability distribution functions.|
|Probability density functions for continuous random variables.|
|Introduction to the binomial distribution|
|More on the binomial distribution|
|Basketball binomial distribution|
|Using Excel to visualize the basketball binomial distribution|
|Expected value of a random variable|
|Expected value of a binomial distributed random variable|
|Introduction to Poisson Processes and the Poisson Distribution.|
|More of the derivation of the Poisson Distribution.|
|Introduction to the law of large numbers|
|(Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials.|
|Exploring the normal distribution|
|Discussion of how "normal" a distribution might be|
|Using the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions|
|Using the Empirical Rule with a standard normal distribution|
|More Empirical Rule and Z-score practice|
|Introduction to the central limit theorem and the sampling distribution of the mean|
|The central limit theorem and the sampling distribution of the sample mean|
|More on the Central Limit Theorem and the Sampling Distribution of the Sample Mean|
|Standard Error of the Mean (a.k.a. the standard deviation of the sampling distribution of the sample mean!)|
Hours of video content