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)
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
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
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
Lect.3F: Log-Normal And Uniform Distributions
Lecture with Per B. Brockhoff. Chapters: 00:00 - The Log-Normal Distribution; 04:15 - Example 6; 07:00 - The Uniform Distribution; 08:00 - Example 7;
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Intro to t Distributions for Mean Inference
Intro and overview of t distributions and how they relate to Z distributions for means. Confidence intervals for means and hypothesis tests for means are typically using t distributions.
From playlist Unit 9: t Inference and 2-Sample Inference
Using normal distribution to find the probability
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal distribution curve is such that the mean is at the cente
From playlist Statistics
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
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
Math 176. Math of Finance. Lecture 10.
UCI Math 176: Math of Finance (Fall 2014) Lec 10. Math of Finance View the complete course: http://ocw.uci.edu/courses/math_176_math_of_finance.html Instructor: Donald Saari, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu
From playlist Math 176: Math of Finance
Stanford CS229: Machine Learning | Summer 2019 | Lecture 19 - Maximum Entropy and Calibration
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3m4pnSp Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html
From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
Freezing and extreme values: from RMT to number theory - Jon Keating
Jon Keating University of Bristol November 8, 2013 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Kannan Soundararajan - Selberg's Contributions to the Theory of Riemann Zeta Function [2008]
http://www.ams.org/notices/200906/rtx090600692p-corrected.pdf January 11, 2008 3:00 PM Peter Goddard, Director Welcome Kannan Soundararajan Selberg's Contributions to the Theory of Riemann Zeta Function and Dirichlet L-Functions Atle Selberg Memorial Memorial Program in Honor of His
From playlist Number Theory
The distribution of values of zeta and L-functions
50 Years of Number Theory and Random Matrix Theory Conference Topic: The distribution of values of zeta and L-functions Speaker: Kannan Soundararajan Affiliation: Stanford University Date: June 21, 2022 I will survey recent progress on understanding the value distribution of zeta and L-f
From playlist Mathematics
Kannan Soundararajan - 1/4 L-functions
Kannan Soundararajan - L-function
From playlist École d'été 2014 - Théorie analytique des nombres
The Fyodorov-Hiary-Keating Conjecture - Louis-Pierre Arguin
50 Years of Number Theory and Random Matrix Theory Conference Topic: The Fyodorov-Hiary-Keating Conjecture Speaker: Louis-Pierre Arguin Affiliation: City University of New York June 22, 2022 In 2012, Fyodorov, Hiary & Keating and Fyodorov & Keating proposed a series of conjectures descri
From playlist Mathematics
Roie Levin: Random Order Set Cover is as Easy as Offline
We give a polynomial time algorithm for Online Set Cover with a competitive ratio of O(log mn) when the elements are revealed in random order, essentially matching the best possible offline bound of O(log n) and circumventing the O(log mlog n) lower bound known in adversarial order. We als
From playlist Workshop: Continuous approaches to discrete optimization
(ML 16.12) The likelihood is nondecreasing under EM (part 2)
We show that in EM, the likelihood of the data (under the sequence of estimates produced by the algorithm) is nondecreasing.
From playlist Machine Learning
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Lecture 4 | Machine Learning (Stanford)
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Newton's method, exponential families, and generalized linear models and how they relate to machine learning. This course provides a broad introduction to
From playlist Lecture Collection | Machine Learning