Probability and Statistics

Algebra II: Probability and Statistics

Order: Reorder
Duration: 13:07
Updated: 01 Feb 2013

Learn more: www.khanacademy.org 76-79, probability, mean, standard deviation

http://wn.com/Algebra_II_Probability_and_Statistics

Statistics 21 - Lecture 1

Order: Reorder
Duration: 68:18
Updated: 15 Feb 2013

Introductory Probability and Statistics for Business

http://wn.com/Statistics_21_Lecture_1

Probability and Statistics

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Duration: 4:11
Updated: 30 Jan 2013

Learn about Probability and Statistics, a brief introduction at mathebook.net

http://wn.com/Probability_and_Statistics

Statistics 20 - Lecture 1

Order: Reorder
Duration: 49:03
Updated: 09 Feb 2013

Introduction to Probability and Statistics

http://wn.com/Statistics_20_Lecture_1

Probability and Statistics: The Birthday Problem

Order: Reorder
Duration: 5:35
Updated: 07 Dec 2012

Mr. Mike (www.radicaltutor.com) discusses the chance that two students in a classroom have the same birthday.

http://wn.com/Probability_and_Statistics_The_Birthday_Problem

Mathematica 8: Probability and Statistics

Order: Reorder
Duration: 4:23
Updated: 22 Oct 2012

Building on two decades of development in symbolic and numeric algorithms, Mathematica 8 provides a suite of high-level functions for probability and statistics. New capabilities include the ability to compute the probability of any event or the expectation of any expression, simulate any distribution, and automatically estimate parameters or test goodness of fit for distributions. To support distributional modeling and analysis, Mathematica 8 offers the largest collection of probability distributions, as well as full support for several dozens of properties, including distribution functions, moments, quantiles, and generating functions. Mathematica 8 provides an unprecedented level of support for parametric distributions. By systematically adding distributions in common use from a wide variety of disciplines such as finance, actuarial science, communication, life science, statistics, etc., Mathematica now provides a complete parametric modeling and analysis framework. Mathematica 8 brings a high level of algorithm automation and computational aesthetics to statistical visualization. Histograms—binned or smoothed—show the shapes of distributions. Quantile and probability plots compare data to a reference distribution. Box-and-whisker and distribution charts compare the distribution shapes for several datasets. For more information about Mathematica 8, please visit: www.wolfram.com

http://wn.com/Mathematica_8_Probability_and_Statistics

Introduction to Probability and Statistics (HD)

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Duration: 10:34
Updated: 09 Dec 2012

Introduction to Probability and Statistics www.techednet.com

http://wn.com/Introduction_to_Probability_and_Statistics_HD

2. The Universal Principle of Risk Management: Pooling and the Hedging of Risks

Order: Reorder
Duration: 69:08
Updated: 24 Aug 2012

Financial Markets (ECON 252) Statistics and mathematics underlie the theories of finance. Probability Theory and various distribution types are important to understanding finance. Risk management, for instance, depends on tools such as variance, standard deviation, correlation, and regression analysis. Financial analysis methods such as present values and valuing streams of payments are fundamental to understanding the time value of money and have been in practice for centuries. 00:00 - Chapter 1. The Etymology of Probability 10:01 - Chapter 2. The Beginning of Probability Theory 15:38 - Chapter 3. Measures of Central Tendency: Independence and Geometric Average 33:12 - Chapter 4. Measures of Dispersion and Statistical Applications 50:39 - Chapter 5. Present Value 01:03:46 - Chapter 6. The Expected Utility Theory and Conclusion Complete course materials are available at the Open Yale Courses website: open.yale.edu This course was recorded in Spring 2008.

http://wn.com/2_The_Universal_Principle_of_Risk_Management_Pooling_and_the_Hedging_of_Risks

Probability and Statistics

Order: Reorder
Duration: 10:34
Updated: 01 Jun 2012

Introduction to Probability and Statistics

http://wn.com/Probability_and_Statistics

Statistics 20 - Lecture 2

Order: Reorder
Duration: 51:24
Updated: 28 Jan 2013

Introduction to Probability and Statistics

http://wn.com/Statistics_20_Lecture_2

Mod-01 Lec-05 Review of Probability and Statistics - I

Order: Reorder
Duration: 55:57
Updated: 11 Feb 2013

Six Sigma by Dr. TP Bagchi , Department of Management, IIT Kharagpur. For more details on NPTEL visit nptel.iitm.ac.in

http://wn.com/Mod-01_Lec-05_Review_of_Probability_and_Statistics_I

Statistics 20 - Lecture 7: Several minutes of visuals are mi

Order: Reorder
Duration: 50:02
Updated: 18 Mar 2012

Introduction to Probability and Statistics

http://wn.com/Statistics_20_Lecture_7_Several_minutes_of_visuals_are_mi

Statistics 21 - Lecture 2

Order: Reorder
Duration: 73:43
Updated: 12 Feb 2013

Introductory Probability and Statistics for Business

http://wn.com/Statistics_21_Lecture_2

Statistcs 21 - Lecture 2

Order: Reorder
Duration: 76:08
Updated: 20 Dec 2012

Statistics 21 - Fall 2009 - Introductory Probability and Statistics for Business - Professor Philip Stark

http://wn.com/Statistcs_21_Lecture_2

Statistics 21 - Lecture 5

Order: Reorder
Duration: 78:57
Updated: 24 Jul 2012

Statistics 21 - Fall 2009 - Introductory Probability and Statistics for Business - Professor Philip Stark

http://wn.com/Statistics_21_Lecture_5

Statistics, Probability and Diagnostic Medicine

Order: Reorder
Duration: 47:22
Updated: 04 Feb 2013

Presented by: Jennifer Le-Rademacher, PhD, Division of Biostatistics, Medical College of Wisconsin Diagnostic devices are used to identify or to predict the presence or absence of diseases or medical conditions. Understanding the ability of a diagnostic tool in detecting and predicting the presence or absence of a disease/condition is essential to interpreting the test results correctly. In this talk, we will define some measures of accuracy such as sensitivity, specificity, positive and negative predictive value, and the likelihood ratio. We will clarify the difference between the detectability and the predictability of a diagnostic test and illustrate these accuracy measurements with examples. In addition, we will introduce the receiver-operating characteristic (ROC) plot and discuss its application via examples.

http://wn.com/Statistics,_Probability_and_Diagnostic_Medicine

Statistics 21 - Lecture 25

Order: Reorder
Duration: 82:12
Updated: 02 May 2012

Statistics 21 - Fall 2009 - Introductory Probability and Statistics for Business - Professor Philip Stark

http://wn.com/Statistics_21_Lecture_25

Excel 2010 Statistics 09: Proportions, Probabilities and Percentages: Formulas and Formatting

Order: Reorder
Duration: 10:31
Updated: 12 Feb 2013

Download file: people.highline.edu 1. Learn about Proportions, Probabilities and Percentages: Formulas and Formatting. 2. See the COUNTIF function and Relative and Absolute Cell References for counting with 1 criteria 3. See how to create a Basic Frequency Table with Qualitative Data including a Relative or Percent Frequency column with Percentage Number Format. This is for the Highline Community College Busn 210 Statistical Analysis for Business and Economics taught by Michael Girvin.

http://wn.com/Excel_2010_Statistics_09_Proportions,_Probabilities_and_Percentages_Formulas_and_Formatting

Probability & Statistics Tutor - Sample2 - Intro Probability

Order: Reorder
Duration: 8:21
Updated: 19 Oct 2012

This is the second sample video from the 10 hour "Probability and Statistics Tutor " DVD available at MathTutorDVD.com. This clip covers the intro to probability.

http://wn.com/Probability_Statistics_Tutor_Sample2_Intro_Probability

Computing with Randomness: Probability Theory and the Internet

Order: Reorder
Duration: 40:04
Updated: 14 Feb 2013

October 21, 2010 - In recent years, probability theory has come to play an increasingly important role in computing. Professor Sahami gives examples of how probability underlies a variety of applications on the Internet including web search and email spam filtering. This lecture is offered as part of the Classes Without Quizzes series at Stanford's 2010 Reunion Homecoming. Mehran Sahami, PhD, is an associate professor of computer science and the department's associate chair for education. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. Stanford University: www.stanford.edu Stanford Alumni Association: www.stanfordalumni.org Computer Science at Stanford: www-cs.stanford.edu Stanford University Channel on YouTube: www.youtube.com

http://wn.com/Computing_with_Randomness_Probability_Theory_and_the_Internet

Probability & Statistics Tutor -Sample 3 -Standard Deviation

Order: Reorder
Duration: 7:39
Updated: 27 Jan 2013

This is the third sample video from the 10 hour "Probability and Statistics Tutor" DVD available at MathTutorDVD.com. This clip introduces the concept of standard deviation.

http://wn.com/Probability_Statistics_Tutor_-Sample_3_-Standard_Deviation

Probability and Counting (Stat 110 Lecture 1)

Order: Reorder
Duration: 46:29
Updated: 11 Feb 2013

Lecture 1 of Stat 110 (Introduction to Probability), taught by Joe Blitzstein, Professor of the Practice in Statistics at Harvard University. This lecture discusses sample spaces, the naive definition of probability, counting, and sampling.

http://wn.com/Probability_and_Counting_Stat_110_Lecture_1