Large Sample Proportion Hypothesis Testing
Introduction to the law of large numbers
Finding the 95% confidence interval for the proportion of a population voting for a candidate.
Finding the 95% confidence interval for the proportion of a population voting for a candidate.
Mean and Variance of Bernoulli Distribution Example
(Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials.
One-Tailed and Two-Tailed Tests
With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic. The reduced chi-square statistic shows you when the fit is good. Or you can try to find the best fit by manually adjusting fit parameters.
With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic. The reduced chi-square statistic shows you when the fit is good. Or you can try to find the best fit by manually adjusting fit parameters.
Play Plinko and develop your knowledge of statistics. Drops balls through a triangular grid of pegs and see the balls random walk through the lattice. Watch the histogram of final positions build up and approach the binomial distribution. Inspired by the Virtual Lab in Probability and Statistics at U. Alabama in Huntsville (www.math.uah.edu/stat)
Introduction to Poisson Processes and the Poisson Distribution.
More of the derivation of the Poisson Distribution.
This video is from the Khan Academy subject of Math on the topic of Probability and statistics and it covers Population standard deviation.
Probability density functions for continuous random variables.
Proof Part 2 Minimizing Squared Error to Line
R-Squared or Coefficient of Determination
Basic idea and definitions of random variables
Regression Line Example
This video is from the Khan Academy subject of Math on the topic of Probability and statistics and it covers Relative complement or difference between sets.
Reviewing the population mean, sample mean, population variance, sample variance and building an intuition for why we divide by n-1 for the unbiased sample variance