Noncentral t-distribution

What is the t-distribution? An extensive guide!

See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction 2:17 Overview 6:06 Sampling RECAP 12:27 Visualising the t distribution 14:24 Calculating values from the t distribution (EXCEL and t-tables!)

From playlist Distributions (10 videos)

T-Distribution Intro

What is a t distribution? Overview of the t test, t score formula, and the t-table. Also, when to use a z score vs. t score.

From playlist Probability Distributions

R - Effect Size Scripts!

Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2016 I am so excited to show you our new effect size scripts! You enter the basic statistics you have from your output, and these scripts will calculate your test statistic, p values, confidence interval for the mean, effect

From playlist Advanced Statistics Videos

Non Normal Distributions

Intro to non normal distributions. Several examples including exponential and Weibull.

From playlist Probability Distributions

R - MOTE Package Avaliable on GitHub

Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2017 You can check out our package on git: https://github.com/doomlab/MOTE You can install with this code: install.packages("devtools") ##only needed if you do not have it yet devtools::install_github("doomlab/MOTE")

From playlist Learn R + Statistics

The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

The Generalized Likelihood Ratio Test

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. There is no universally optimal test strategy for composite hypotheses (unknown parameters in the pdfs). The generalized likelihood ratio test (GLRT

From playlist Estimation and Detection Theory

Positioned for Success: Targeting Mathematica to Strengthen U.S. Defense

When a contractor for the U.S. Department of Defense called on Bruce Colletti to develop a geo-positioning application for precision targeting, Colletti called on Mathematica. Mathematica is the only software available that he could use to combine the vast technical and programmatic functi

From playlist Wolfram Research: Portraits of Success

students t distribution probabilities and percentiles

From playlist Exam 2 material

Statistics: Ch 7 Sample Variability (3 of 14) The Inference of the Sample Distribution

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn if the number of samples is greater than or equal to 25 then: 1) the distribution of the sample means is a normal distr

From playlist STATISTICS CH 7 SAMPLE VARIABILILTY

T Distribution on the TI 83

How to find a t critical value on the ti 83 AND how to find the area under a t distribution curve,

From playlist TI 83 for Statistics

OCR MEI Statistics Minor I: Binomial Distribution: 05 EXTENSION Deriving E(X)

https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea

From playlist OCR MEI Statistics Minor I: Binomial Distribution

Statistics: Ch 7 Sample Variability (2 of 14) Two Useful Distributions of a Sample

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the sample size (n) must be large enough to represent a population: 1) when many samples (each size n) are taken “the (

From playlist STATISTICS CH 7 SAMPLE VARIABILILTY

11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about Glivenko-Cantelli Theorem (fundamental theorem of statistics), Donsker’s Theorem, and Kolmogorov-Smirnov test

From playlist MIT 18.650 Statistics for Applications, Fall 2016

Stochastic Resetting - CEB T2 2017 - Evans - 3/3

Martin Evans (Edinburgh) - 12/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq

From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester

The Student's t-Distribution: Confidence Intervals

This lesson introduces the Student's t-distribution and shows how to determine a mean confidence interval. http://mathispower4u.com

From playlist Confidence Intervals

Lecture 13 | The Fourier Transforms and its Applications

Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). In this lecture, Professor Osgood demonstrates Fourier transforms of a general distribution. The Fourier transform is a tool for solving physical problems. In t

From playlist Lecture Collection | The Fourier Transforms and Its Applications

STAT 200 Lesson 8 Lecture

From playlist STAT 200 Video Lectures

OCR MEI Statistics Minor H: Geometric Distribution: 02 Binomial vs Geometric

https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea

From playlist OCR MEI Statistics Minor H: Geometric Distribution