The Normal Distribution and the 68-95-99.7 Rule. In this video, I talk about the normal distribution and what percentage of observed values fall within either 1, 2, or 3 standard deviations from the mean. One specific example is discussed. For more free math video, visit PatrickJMT.com
patrickjmtThis tutorial provides an overview of the normal distribution or normal curve.
drmaggardExploring the normal distribution
khanacademyDescribes density curves, the 68%-95%-99.7% rule and normal distributions. Examples are done and instructions on how to calculate the p-value using a graphing calculator are included. (Part 1 of 2)
madonnausiThis video shows how to calculate "inside areas" and "areas in the extreme" in a normal distribution using Z-scores. This video can also be found on my website statstutor.books.officelive.com
pspollard1In this tutorial you are shown how to calculate the mean and standard deviation from a normal distribution using the following example. A high jumper knows from experience that she can clear a height of at least 1.78m once in 5 attempts. She also knows that she can clear a height of at least 1.65...
examsolutionsZ-score practice
khanacademyI created this video using my Logitech QuickCam software
larahsmithIn this tutorial we show you how to calculate the probability given that x is less than the mean from a normal distribution by looking at the following example. A carton of orange juice has a volume which is normally distributed with a mean of 120ml and a standard deviation of 1.8ml. Find the pro...
examsolutions(Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials.
khanacademyReview of the normal density function and its key properties
bionicturtledotcomUsing the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions
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indexfundsadvisorsCalculus/Probability: We calculate the mean and variance for normal distributions. We also verify the probability density function property using the assumption that the improper integral of exp(-x^2) over the real line equals sqrt(pi).
mathdoctorbobUsing the Empirical Rule with a standard normal distribution
khanacademyDiscussion of how "normal" a distribution might be
khanacademyThis is the second part to finding the mean and standard deviation from a Normal distribution.
examsolutionsDescription and example of using the Normal (Gaussian) distribution in practice
kbower50What is a Normal Distribution? Check out different normal distributions.
cylurianUsing the TI-83/84 calculator to find area, probability, percentage, and z-score on a standard normal distribution.
lencageTerms of Use: This work is licensed under a Creative Commons Attribution 2.0 Generic License. It is attributed to Barbara Illowsky and Susan Dean and the original version can be found at: cnx.org/content/m17567/latest/.
saylorfoundationObjective is to understand why the normal distribution is often a good approximation for real-world data. However, also note when it is dangerous to use this approximation.
arnoldskAmath course for life science majors covering elementary probability, probability distributions, random variables, and limit theorems. Lecturer: Herbert Enderton, Ph.D., Harvard University. Dr. Enderton is Logic Colloquim Chairman for the UCLA Logic Center -- www.logic.ucla.edu UCLA course Probab...
uclacoursesI show you through an example how to work out probabilities from a normal distribution. To see the full video index and tutorials go to www.examsolutions.co.uk
examsolutionsI describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (ie, 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention t...
how2statsTerms of Use: This video is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States License. It is attributed to the Khan Academy and the original version can be found at www.youtube.com
saylorfoundationSee the new NORM.DIST and NORM.S.DIST functions. They have new screen tips to help you select the correct argument. And NORM.S.DIST has a second argument for the Density function that will allow people to calculate the height of the curve and make charts with z values..
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