JUDGMENT and SNOWBALL Non-random Sampling (12-6)
Judgment sampling (a.k.a., expert sampling, authoritative sampling, purposive sampling, judgmental sampling) is a technique in which the sample is selected based on the researcher’s (or other experts’) existing knowledge or professional judgment. It may provide highly accurate findings wit
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
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
What is purposive (deliberate) sampling? Types of purposive sampling, advantages and disadvantages. 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.creator-spring.com/listing/sam
From playlist Sampling
Sampling (2 of 5: Introduction to Random Samples and Spreadsheets)
More resources available at www.misterwootube.com
From playlist Data Analysis
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)
2 Sample t Test v Paired t Test
Identifying the difference between situations when a 2-sample t Test is appropriate and when a paired t Test is appropriate, including the recognition of paired dependent data versus independent samples.
From playlist Unit 9: t Inference and 2-Sample Inference
SamplingVarAndMeasuresOfDis.1.SampleSize
This 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 Applied Data Analysis and Statistical Inference
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Evaluation 5: relevance judgments
Relevance judgments indicate which documents are relevant to the information need of a user. They are constructed by trained annotators inspecting a subset of documents (typically pooled across a large number of different retrieval algorithms).
From playlist IR13 Evaluating Search Engines
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence [Paper Read Out Loud]
http://umiacs.umd.edu/~jbg//docs/2021_neurips_incoherence.pdf
From playlist Papers Read Aloud
Sampling Methods for Statistics - Stratified, Cluster, Systematic, Convenience, Judgment (Week 12C)
The best way to get a representative sample is to us a random sample. Moving beyond simple random sampling techniques, we learn other probability samples such as the stratified random sample, cluster sampling, and systematic sampling. We also learn about non-probability sampling such as c
From playlist Basic Business Statistics (QBA 237 - Missouri State University)
Powered by https://www.numerise.com/ Surveys & questionnaires (2)
From playlist Collecting data
Type I and Type II error (Part IV of Intro to Statistics)
What are type I and type II errors in hypothesis tests? What they are, and ways to avoid them. 00:00 Intro 00:19 Definition of Type I and Type II Error 00:38 An example 00:56 Table of decision errors 04:4 Examples of Confidence Intervals and Type II Errors 08:12 Comparison of Errors with
From playlist Intro to Statistics
Stanford Seminar - Theories of inference for visual analysis
Jessica Hullman Northwestern University December 3, 2021 Research and development in computer science and statistics have produced increasingly sophisticated software interfaces for interactive and exploratory analysis, optimized for easy pattern finding and data exposure. But design p
From playlist Stanford Seminars
Statistical Rethinking 2023 - 11 - Ordered Categories
Course materials: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=564u39PJfUI Outline 00:00 Introduction 03:27 Ethics and trolleys 12:45 Ordered categories 32:01 Ordered categorical models 40:40 Participation bias 44:10 Pause 44:30 Ordered
From playlist Statistical Rethinking 2023
Statistics Essentials for Analytics | R Statistics | Statistics for Data Science Training | Edureka
***** Statistics for Data Science - https://www.edureka.co/data-science-r-programming-certification-course ***** This Edureka video will provide you with a detailed introduction to data and statistics involved in Data Analysis. It will also provide you with detailed knowledge of Analytics
From playlist Data Analytics with R Tutorial Videos
Computational Semantics Evaluation: The Origins of Senseval and Evolution of SemEval
About the event: Senseval and SemEval datasets have come to be the de facto gold standards for much of the work in computational semantics. The events that spawned these datasets have enabled comparison of systems, fostered a large community of researchers and spawned interest in a wide v
From playlist Turing Seminars
What is systematic sampling? Advantages and disadvantages. How to perform systematic sampling and repeated systematic sampling. 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.c
From playlist Sampling
Data that are collected for statistical analysis can be classified according to their type. It is important to know what data type we are dealing with as this determines the type of statistical test to use.
From playlist Learning medical statistics with python and Jupyter notebooks