Statistical inference

Exact statistics

Exact statistics, such as that described in exact test, is a branch of statistics that was developed to provide more accurate results pertaining to statistical testing and interval estimation by eliminating procedures based on asymptotic and approximate statistical methods. The main characteristic of exact methods is that statistical tests and confidence intervals are based on exact probability statements that are valid for any sample size. Exact statistical methods help avoid some of the unreasonable assumptions of traditional statistical methods, such as the assumption of equal variances in classical ANOVA. They also allow exact inference on variance components of mixed models. When exact p-values and confidence intervals are computed under a certain distribution, such as the normal distribution, then the underlying methods are referred to as exact parametric methods. The exact methods that do not make any distributional assumptions are referred to as exact nonparametric methods. The latter has the advantage of making fewer assumptions whereas, the former tend to yield more powerful tests when the distributional assumption is reasonable. For advanced methods such as higher-way ANOVA regression analysis, and mixed models, only exact parametric methods are available. When the sample size is small, asymptotic results given by some traditional methods may not be valid. In such situations, the asymptotic p-values may differ substantially from the exact p-values. Hence asymptotic and other approximate results may lead to unreliable and misleading conclusions. (Wikipedia).

Video thumbnail

Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

From playlist Statistics (Full Length Videos)

Video thumbnail

Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics

From playlist Statistics

Video thumbnail

Five Number Summary (ODD)

How to find the five number summary for a set of ODD numbers. Finding min, max, median, Q1 and Q3 in simple steps.

From playlist Basic Statistics (Descriptive Statistics)

Video thumbnail

Find x given the z-score, sample mean, and sample standard deviation

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Find x given the z-score, sample mean, and sample standard deviation

From playlist Statistics

Video thumbnail

Introduction to Statistics

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Introduction to Statistics - Quantitative Data versus Qualitative Data

From playlist Statistics

Video thumbnail

Statistics: Introduction (9 of 13) Basic Terms

Visit http://ilectureonline.com for more math and science lectures! We will review the Basic Terms of statistics of population, sample, finite vs infinite population, (response) variable, date (singular), data (plural), experiment, parameter, statistics, attribute, numerical data, and dis

From playlist STATISTICS CH 1 INTRODUCTION

Video thumbnail

Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion

https://www.patreon.com/ProfessorLeonard Statistics Lecture 7.2: Finding Confidence Intervals for the Population Proportion

From playlist Statistics (Full Length Videos)

Video thumbnail

Identify the Level of Measurement MyMathlab Statistics Homework

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Identify the Level of Measurement MyMathlab Statistics Homework

From playlist Statistics

Video thumbnail

Statistics 5_1 Confidence Intervals

In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.

From playlist Medical Statistics

Video thumbnail

Dusting for Fingerprints in Private Data - Jon Ullman

Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on http://video.ias.edu

From playlist Differential Privacy Symposium - November 12, 2016

Video thumbnail

Discrete and continuous random variables | Probability and Statistics | Khan Academy

Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/random-variables-stats-library/random-variables-discrete/v/discrete-and-continuous-random-variables Defining discrete and continuous random

From playlist Random variables and probability distributions | Probability and Statistics | Khan Academy

Video thumbnail

Exact solution for single-file diffusion by Kirone Mallick

PROGRAM: INTEGRABLE SYSTEMS IN MATHEMATICS, CONDENSED MATTER AND STATISTICAL PHYSICS ORGANIZERS: Alexander Abanov, Rukmini Dey, Fabian Essler, Manas Kulkarni, Joel Moore, Vishal Vasan and Paul Wiegmann DATE : 16 July 2018 to 10 August 2018 VENUE: Ramanujan Lecture Hall, ICTS Bangalore

From playlist Integrable​ ​systems​ ​in​ ​Mathematics,​ ​Condensed​ ​Matter​ ​and​ ​Statistical​ ​Physics

Video thumbnail

Capturing Turbulent Dynamics and Statistics in Experiments using Exact.... by Balachandra Suri

SEMINAR Capturing Turbulent Dynamics and Statistics in Experiments using Exact Coherent States Speaker: Balachandra Suri (Institute of Science and Technology, Austria) Date: Thursday, 21 January 2021, Venue: Online seminar Turbulence is widely regarded as the last unsolved pro

From playlist Seminar Series

Video thumbnail

Non-parametric tests - Sign test, Wilcoxon signed rank, Mann-Whitney

See all my videos at http://www.zstatistics.com/ 0:00 Introduction 2:48 Definition of "non-parametric" 5:05 Sign test 11:26 Wilcoxon signed rank test 20:30 Mann-Whitney U test/Wilcoxon signed rank test

From playlist Statistical Inference (7 videos)

Video thumbnail

MoreNPTests.2.ReferenceDistributions

his video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources

From playlist More Non-Parametric Tests

Video thumbnail

Lect.6E: T-Test For The Mean ("Unknown" Variance)

Lecture with Per B. Brockhoff. Chapters: 00:00 - Calculating The Test Statistic; 02:00 - Comparing To A Critical Value; 02:15 - Calculating The Test Statistic; 05:30 - Example 2;

From playlist DTU: Introduction to Statistics | CosmoLearning.org

Video thumbnail

Anderson localization on random regular graphs: by Alexander Mirlin

PROGRAM THERMALIZATION, MANY BODY LOCALIZATION AND HYDRODYNAMICS ORGANIZERS: Dmitry Abanin, Abhishek Dhar, François Huveneers, Takahiro Sagawa, Keiji Saito, Herbert Spohn and Hal Tasaki DATE : 11 November 2019 to 29 November 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore How do is

From playlist Thermalization, Many Body Localization And Hydrodynamics 2019

Video thumbnail

Exact test, Empirical distribution, Bootstrapping

0:00 Introduction 1:59 Exact Methods 5:45 EXAMPLE: Exact Binomial distribution 11:42 Empirical distribution 14:01 Bootstrapping

From playlist Statistical Inference (7 videos)

Video thumbnail

Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation

From playlist Statistics (Full Length Videos)

Video thumbnail

Comparing population proportions 1 | Probability and Statistics | Khan Academy

Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/significance-tests-confidence-intervals-two-samples/comparing-two-proportions/v/comparing-population-proportions-1 Comparing Population Pro

From playlist Inferential statistics | Probability and Statistics | Khan Academy

Related pages

Fisher's exact test | Generalized p-value | Statistical Methods for Research Workers | Confidence interval | Bayesian statistics | Regression analysis | Asymptotic theory (statistics) | Exact test | Statistics | Interval estimation | Mixed model