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
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)
Statistic vs Parameter & Population vs Sample
This stats video tutorial explains the difference between a statistic and a parameter. It also discusses the difference between the population and sample. It includes examples such as the sample mean, population mean, sample standard deviation, population standard deviation, sample propo
From playlist Statistics
t Test Write Up of a Hypothesis Test of an Unknown Population Mean
How to perform and write up a hypothesis test [t test] of an unknown population mean [In accordance with AP Statistics requirements]
From playlist Unit 9: t Inference and 2-Sample Inference
Statistics: Ch 9 Hypothesis Testing (1 of 34) What is a Hypothesis?
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 a hypothesis is: a) A supposition or a proposed explanation made on the basis of limited evidence as a starting point f
From playlist STATISTICS CH 9 HYPOTHESIS TESTING
What is an Injective Function? Definition and Explanation
An explanation to help understand what it means for a function to be injective, also known as one-to-one. The definition of an injection leads us to some important properties of injective functions! Subscribe to see more new math videos! Music: OcularNebula - The Lopez
From playlist Functions
In Class Example Difference of Sample Means
A beneficial in class example of difference of sample means
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
Statistical modeling and missing data - Rod Little
Virtual Workshop on Missing Data Challenges in Computation, Statistics and Applications Topic: Statistical modeling and missing data Speaker: Rod Little Date: September 8, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
This video provides an introduction to apportionment. Site: http://mathispower4u.com
From playlist Apportionment
David Haziza - Multiply robust imputation procedures for treatment of item nonresponse in surveys
Professor David Haziza (University of Ottawa) presents "Multiply robust imputation procedures for treatment of item nonresponse in surveys", 18 September 2020.
From playlist Statistics Across Campuses
Statistics - The vocabulary of statistics
This video will give show you a few terms that are used in statistics such as data, population, sample, parameter, statistic, and variable. Remember that it matters if you are talking about the whole group, or a portion of that group. For more videos please visit http://www.mysecretmatht
From playlist Statistics
Live CEOing Ep 120: Machine Learning in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Machine Learning in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
Statistical Rethinking 2023 - 18 - Missing Data
Course: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=RSsstXfcRWw Icebear music: https://www.youtube.com/watch?v=0h9tC3FM9UI Outline 00:00 Introduction 05:18 Missing data in DAGs 19:42 Bayesian imputation part 1 33:34 Pause 34:30 Bayesian
From playlist Statistical Rethinking 2023
Statistical Rethinking Fall 2017 - week10 lecture19
Week 10, lecture 19 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapters 14 and 15. Slides are available here: https://speakerdeck.com/rmcelreath/statistical-rethinking-fall-2017-lecture-19 Additional in
From playlist Statistical Rethinking Fall 2017
Statistical Learning: 12.5 Matrix Completion
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Gaël Varoquaux - Supervised Learning with Missing Values
Some data come with missing values. For instance, a survey’s participant may ignore some questions. There is an abundant statistical literature on this topic, establishing for instance how to fit model without biases due to the missingness, and imputation strategies to provide practical so
From playlist Journée statistique & informatique pour la science des données à Paris-Saclay 2021
R - Data Screening Missing (6.2 Flip)
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers data screening following a set procedure to help you screen through your data. You will learn about data screening working through accuracy, missing data, outliers, and assumptions. T
From playlist Graduate Statistics Flipped
The Assumption of No MISSING DATA in Parametric Hypothesis Tests (16-5)
Parametric statistical tests require that there are no missing data in the dataset. Missing data can distort findings, especially when the data are not missing randomly. We can use listwise deletion, pairwise deletion, mean substitution, or regression substitution, but the best approach to
From playlist Assumptions, Significance, & Effect Size Wrap-Up (WK 16 - QBA 237)
Brian Browning: "The one penny imputed genome: Rapid genotype imputation with millions of samples"
Computational Genomics Winter Institute 2018 "The one penny imputed genome: Rapid genotype imputation with millions of samples" Brian Browning, University of Washington Institute for Pure and Applied Mathematics, UCLA February 26, 2018 For more information: http://computationalgenomics.
From playlist Computational Genomics Winter Institute 2018
Statistics Lecture 8.2: An Introduction to Hypothesis Testing
https://www.patreon.com/ProfessorLeonard Statistics Lecture 8.2: An Introduction to Hypothesis Testing
From playlist Statistics (Full Length Videos)