PBS
Career Connections | Bookkeeping and Accounting
Keeping track of the finances is the job of the accountant and the bookkeeper. Find out what skills add up to make it in the world of ledgers and numbers.
Crash Course
Randomness: Crash Course Statistics #17
You'll probably end up thinking about randomness the next time you eat fries. The 17th video in the Crash Course Statistics series uses an analysis of McDonald's french fries to look at the mean and expected value of random...
Crash Course
The Binomial Distribution: Crash Course Statistics #15
And here I was thinking binomials were about algebra. The 15th installment of the Crash Course Statistics series focuses on the binomial distribution. It starts off with an example calculating the probability of getting shocked while...
Khan Academy
Khan Academy: Statistics: Binomial Distribution 2
Video continuing an example of a binomial distribution for the amount of heads in five flips of a coin by drawing the graph and including discussion on how the distribution relates to a normal bell curve. Also includes explanation of why...
Khan Academy
Khan Academy: Statistics: Sampling Distribution Example Problem
Video example of using a sample distribution to solve a problem determining the probability that a sample mean is below a certain number. Includes example of finding a z-score and looking it up in a table to determine the probability....
Khan Academy
Khan Academy: Statistics: Mean and Variance of Bernoulli Distribution Example
Video giving example of a Bernoulli distribution and showing how to calculate its mean, variance, and standard deviation leading up to deriving the formulas for mean, variance and standard deviation of a Bernoulli distribution which will...
Khan Academy
Khan Academy: Statistics: Bernoulli Distribution Mean and Variance Formulas
Video example of what a Bernoulli distribution is. Demonstrates how the general formulas for the mean and variance of the distribution are derived. [6:59]
Khan Academy
Khan Academy: Statistics: Difference of Sample Means Distribution
Video shows visually and reviews notation for sampling distributions of random variables. It then visually shows the distribution of the mean of the difference of two random variables and gives the formulas for the mean and variance of...
Khan Academy
Khan Academy: Statistics: Introduction to Random Variables
Video explains random variables, gives examples of what they are used for and explains the difference from traditional variables. Explains the difference between discrete and continuous random variables. Gives examples of using a random...
Annenberg Foundation
Annenberg Learner: Against All Odds: Normal Distributions
A look at how histograms, and the curves that are drawn based on histogram data, can help one analyze data. Video program offers real-life examples to illustrate this: population age and baseball statistics. [28:40]
Khan Academy
Khan Academy: Statistics: Sampling Distribution of the Sample Mean
Video reviews the central limit theorem and uses a simulation to illustrate sampling distributions and how they approach a normal distribution with larger sample sizes even if the original distribution was not normal. Also discusses the...
Khan Academy
Khan Academy: Statistics: Normal Distribution Excel Exercise
Video discusses the importance of the normal distribution. The formula for the normal distribution is given and explained. A url is given where an excel spreadsheet can be downloaded which is shown and used to compare the binomial...
Khan Academy
Khan Academy: Statistics: Normal Distribution Problems: Qualitative Sense
Video gives four examples of real world situations and discusses whether or not they would most likely be normally distributed. Discussed bimodal distributions and skewed distributions. [10:53]
Khan Academy
Khan Academy: Bernoulli Distribution Mean and Variance Formulas
Video example of what a Bernoulli distribution is. Demonstrates how the general formulas for the mean and variance of the distribution are derived.
Khan Academy
Khan Academy: Discrete and Continuous Random Variables
Defining discrete and continuous random variables. Working through examples of both discrete and continuous random variables.
Khan Academy
Khan Academy: Probability Density Functions
A video abour probability density functions for continuous random variables.
Imagine Learning Classroom
Learn Zillion: Slideshow: Approximating a Sampling Distribution From a Simulation
In this lesson, you will learn about sampling distributions and how to approximate them by using a simulation. [8:03]
Imagine Learning Classroom
Learn Zillion: Video: 'Model a Data Set With a Normal Probability Distribution'
In this lesson, you will learn how to model a data set with a normal probability distribution by using the mean and standard deviation of the data set. [4:59]
Khan Academy
Khan Academy: Sampling Distribution: Sampling Distribution of the Sample Mean
Video reviews the central limit theorem and uses a simulation to illustrate sampling distributions and how they approach a normal distribution with larger sample sizes even if the original distribution was not normal.
Khan Academy
Khan Academy: Normal Distribution: Introduction to the Normal Distribution
Video discusses the importance of the normal distribution and gives its formula with examples of how it is used.
Khan Academy
Khan Academy: Sampling Distribution: Sampling Distribution of the Sample Mean 2
Video discusses the effect of sample size on the sampling distribution.
Khan Academy
Khan Academy: Normal Distribution: Normal Distribution Excel Exercise
Video discusses the importance of the normal distribution. The formula for the normal distribution is given and explained. A url is given where an excel spreadsheet can be downloaded which is shown and used to compare the binomial...
Khan Academy
Khan Academy: Probability and Statistics: Random Variables
Basic idea and definitions of random variables. [5:32]
Khan Academy
Khan Academy: Sampling Distribution of Sample Proportion Part 1
This video goes over the formulas for the mean and standard deviation of a sampling distribution of sample proportions. [9:56]