Probability & Stats 2: Random Variable & Probability Distribution
Video Lectures
Displaying all 53 video lectures.
Lecture 1![]() Play Video |
Random Variable In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs |
Lecture 2![]() Play Video |
Random Variable - Terminology Review In this video I will define and reviews terminologies associated with random variables. Next video in series: http://youtu.be/ebP7x2zviBI |
Lecture 3![]() Play Video |
Random Variable - Ex. 1: Flipping Coins In this video I will show an example (flipping a coin until heads appears) where X (random variable) equals infinity. Next video in series: http://youtu.be/sUFn2vQRNBM |
Lecture 4![]() Play Video |
Types of Random Variable In this video I will define 2 types of random variables (discrete and continuous variables). Next video in series: http://youtu.be/mtt3h54aSkk |
Lecture 5![]() Play Video |
Probability Distribution (Discrete) In this video I will define the probability distribution (discrete). Next video in series: http://youtu.be/zHIOF6Ip_i4 |
Lecture 6![]() Play Video |
Probability Distribution (Discrete) In this video I will show the discrete probability distribution of the number of tosses required to get heads. Next video in series: http://youtu.be/RBTWgElcTKU |
Lecture 7![]() Play Video |
Probability Distribution (Non-Discrete) In this video I will define and show an example (how long will a light bulb last) of non-discrete probability distribution (function). Next video in series: http://youtu.be/L2TwSQk7_g4 |
Lecture 8![]() Play Video |
Probability Distribution: Histogram In this video I will show the probability distribution histogram. Next video in series: http://youtu.be/dBqAjZZcpqE |
Lecture 9![]() Play Video |
Probability Dist: Skewed Histogram In this video I will show an example of a skewed probability distribution histogram. Next video in series: http://youtu.be/NVZqbf6zhGA |
Lecture 10![]() Play Video |
Continuous Random Variables In this video I will show a histogram of a continuous random variables. Next video in series: http://youtu.be/TzTNwpdc6FE |
Lecture 11![]() Play Video |
The Mean Average In this video I will defines and shows an example (tossing 2 dice) of the mean (or average). Next video in series: http://youtu.be/d2oSMYlbQSo |
Lecture 12![]() Play Video |
The Expected Value Ex. 1 In this video I will define expected value of a random variable and find the expected value of the number of customers standing in line in a grocery store. Next video in series: http://youtu.be/k2l3BCd6Xjk |
Lecture 13![]() Play Video |
The Expected Value Ex. 2 In this video I will find the expected value of tossing 2 dice. Next video in series: http://youtu.be/YgXvOotb9lA |
Lecture 14![]() Play Video |
The Expected Value Ex. 3 In this video I will find the expected value of a lottery ticket. Next video in series: https://youtu.be/Cqj8bUZXBnk |
Lecture 15![]() Play Video |
Expected Value of Roulette In this video I will find the expected value of placing bets on a roulette wheel. Next video in series: http://youtu.be/FgcjBZyCjzo |
Lecture 16![]() Play Video |
Odds of Roulette In this video I will find the odds in favor of and odds against in a game of roulette. Next video in series: http://youtu.be/k5Da9CV7c_w |
Lecture 17![]() Play Video |
Odds in Favor & Against Ex. 1 In this video I will find the probability of an event occurring if the odds in favor is 2/3. Next video in series: http://youtu.be/ypZIEg-yoFw |
Lecture 18![]() Play Video |
Odds in Favor & Against Ex. 2 In this video I will find the probability of an event occurring if the odds against is 4/5. Next video in series: http://youtu.be/l_3kU4kIPWs |
Lecture 19![]() Play Video |
Odds in Favor & Against Ex. 3 In this video I will find the odds in favor and against if the probability of an event occurring is 0.8. Next video in series: http://youtu.be/8qNU-WunQ-4 |
Lecture 20![]() Play Video |
Odds in Favor & Against Ex. 4 In this video I will find the probability of winning on a slot machine if the odds against is 1.1 to 1. Next video in series: http://youtu.be/Z7pOQkouFjs |
Lecture 21![]() Play Video |
Mean, Median, Mode In this video I will explain and give examples of a mean, median, and mode using commuting times from work to home.Mean Next video in series: http://youtu.be/9qNt13lLq4w |
Lecture 22![]() Play Video |
Mean, Median, Mode Ex. 2 In this video I will find the mean, median, and mode from a sample of (even #) data points. Next video in series: http://youtu.be/UmuiykCrg0o |
Lecture 23![]() Play Video |
Mean, Median, Mode Ex. 3 In this video I will find the mean, median, and mode from a sample of (odd #) data points of 11 home prices. Next video in series: http://youtu.be/n7yMaXAhicc |
Lecture 24![]() Play Video |
Mean, Median, Mode Ex. 4 In this video I will find the mean, median, and mode of the wages of 340 employees. Next video in series: http://youtu.be/OOLYgTMP0mY |
Lecture 25![]() Play Video |
Expected Value - Example 1 In this video I will find the expected value of a $50,000 life insurance policy if the probability of living 1 more year is 0.995. Next video in series: http://youtu.be/2dw-HG9EgJ4 |
Lecture 26![]() Play Video |
Expected Value - Example 2 In this video I will find the expected value of the premium for a home insurance company with 1,000,000 policies with an average home price of $200,000. Next video in series: http://youtu.be/wopGBIPmq28 |
Lecture 27![]() Play Video |
Expected Value - Example 3 In this video I will find the expected value of a selling agent with a commission of 3% with an average home price of $150,000. Next video in series: http://youtu.be/jiN-03T2nHM |
Lecture 28![]() Play Video |
Variance Explained In this video I will explains and shows an example of the variance from a sample of equally likely values. Next video in series: http://youtu.be/FzHqjh2pnsw |
Lecture 29![]() Play Video |
Variance (Probability Distribution) In this video I will find the variance from a sample of values with probability distributions. Next video in series: http://youtu.be/cVK8U1lAf7k |
Lecture 30![]() Play Video |
Standard Deviation In this video I will explain the standard deviation of random variables. Next video in series: http://youtu.be/XiTMW8-aXXM |
Lecture 31![]() Play Video |
Standard Deviation - 2 In this video I will find the population standard deviation from a sample of 20 values of the mileage of car tires. Next video in series: http://youtu.be/cY14G3wJmwg |
Lecture 32![]() Play Video |
Standard Deviation - 3 In this video I will find the standard deviation from a sample of very large population of values of the actual number of ounces of potato chips in a 9.8 ounce bag. Next video in series: http://youtu.be/WMU-kXDmD38 |
Lecture 33![]() Play Video |
Standard Deviation - 4 In this video I will apply the standard deviation of a random variable from a tire company to determine which tires are better. Next video in series: http://youtu.be/6_Yj9EJTWkc |
Lecture 34![]() Play Video |
Normal Distribution In this video I will explain what is a normal distribution. Next video in series: http://youtu.be/DXtEr7_J8I0 |
Lecture 35![]() Play Video |
Normal Distribution Equation In this video I will closely examine the normal distribution equation. Next video in series: http://youtu.be/dmzHJ7mwBmU |
Lecture 36![]() Play Video |
Normal Distribution Table In this video I will explain the normal distribution table. Nextt video in series: http://youtu.be/bpyC-yggXHc |
Lecture 37![]() Play Video |
Binomial Distribution In this video I will explain a basic understanding of binomial distribution. Next video in series: http://youtu.be/uO166WiwFFg |
Lecture 38![]() Play Video |
Binomial Distribution: General Case In this video I will explain the general case of the binomial distribution. Next video in series: http://youtu.be/avcOQ9TWWBs |
Lecture 39![]() Play Video |
Binomial Distribution: Example In this video I will finds the probability of 4, all 10 people, and at least 1 person buying books in a book store. Next video in series: http://youtu.be/yvdXEBkqh4Q |
Lecture 40![]() Play Video |
Binomial Distribution: Graphing In this video I will graph the binomial distribution. Next video in series: http://youtu.be/RNpLG7qVXuI |
Lecture 41![]() Play Video |
Using Binomial Expansion In this video I will graph the binomial distribution using the binomial expansion to find the coefficients. Next video in series: http://youtu.be/B3bRFhshbpE |
Lecture 42![]() Play Video |
Non-Symmetric Binomial Dist. In this video I will graph a non-symmetric binomial distribution. Next video in series: http://youtu.be/0FIKgUwezxE |
Lecture 43![]() Play Video |
The Expected Value In this video I will find the expected value of a binomial distribution. Next video in series: http://youtu.be/zup2EhXJSsk |
Lecture 44![]() Play Video |
Variance In this video I will find the variance of a binomial distribution. Next video in series: http://youtu.be/XWBCrgKkRnY |
Lecture 45![]() Play Video |
Binomial Distribution In this video I will find the standard deviation of a binomial distribution. Next video in series: http://youtu.be/qdHAvUDpk-M |
Lecture 46![]() Play Video |
Standard Deviation n=large # In this video I will find the binomial distribution when n is a large number. Next video in series: http://youtu.be/nt5babLSHco |
Lecture 47![]() Play Video |
Standard Deviation n=large # In this video I will find the binomial distribution of a sample of points where n is a large number. Next video in series: http://youtu.be/SOYsa2TU4II |
Lecture 48![]() Play Video |
Calculating the Table In this video I will shows how calculate the table of the areas of the binomial distribution. Next video in series: http://youtu.be/m_D6ffGzvtE |
Lecture 49![]() Play Video |
Binomial Dist. - Approx. In this video I will find the binomial distribution and probability using the approximate technique. Next video in series: http://youtu.be/W7Ud3zRv9g0 |
Lecture 50![]() Play Video |
Binomial Dist. - Approx. 2 In this video I will find P=?, x is grater than 70, where expected value =100 and standard deviation = 20. Next video in series: http://youtu.be/1nnV5T8i9SY |
Lecture 51![]() Play Video |
Binomial Dist. - Approx. 3 In this video I will find P=?, x is between 75 and 110, where expected value =100 and standard deviation = 20. Next video in series: http://youtu.be/bQuMLwPEBaQ |
Lecture 52![]() Play Video |
Binomial Dist. - Approx. 4 In this video I will find the probability that cars would be driving faster than 55 mph. Next video in series: http://youtu.be/q3gJJuBZunw |
Lecture 53![]() Play Video |
Binomial Dist. - Approx. 5 In this video I will find the probability that cars would be driving faster than 55 mph. First video in series: https://youtu.be/bQ0ad5YMhzk |