History of probability and statistics
Statistical Methods for Research Workers is a classic book on statistics, written by the statistician R. A. Fisher. It is considered by some to be one of the 20th century's most influential books on statistical methods, together with his The Design of Experiments (1935). It was originally published in 1925, by Oliver & Boyd (Edinburgh); the final and posthumous 14th edition was published in 1970. (Wikipedia).
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
This lecturelet will introduce you to the series on statistical analyses of time-frequency data. For more online courses about programming, data analysis, linear algebra, and statistics, see http://sincxpress.com/
From playlist OLD ANTS #8) Statistics
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Research Methods 1: Sampling Techniques
In this video, I discuss several types of sampling: random sampling, stratified random sampling, cluster sampling, systematic sampling, and convenience sampling. The figures presented are adopted/adapted from: https://www.pngkey.com/detail/u2y3q8q8e6o0u2t4_population-and-sample-graphic-de
From playlist Research Methods
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
Statistics: Introduction to Experiments and Confounding
This lesson introduces experiments and confounding. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Research Methodology for Beginners || Research Methodology Lecture
Research methodology is the specific procedures or techniques used to identify, select, process, and analyze information about a topic. In a research paper, the methodology section allows the reader to critically evaluate a study's overall validity and reliability. In this course you w
From playlist Research Method
Sylvia Frühwirth-Schnatter: Bayesian econometrics in the Big Data Era
Abstract: Data mining methods based on finite mixture models are quite common in many areas of applied science, such as marketing, to segment data and to identify subgroups with specific features. Recent work shows that these methods are also useful in micro econometrics to analyze the beh
From playlist Probability and Statistics
Statistics: Collecting Data Exercises
This video covers sample, population, qualitative data, quantitative data, sampling methods, sampling bias, experimental and observational studies, and the types of experiments. http://mathispower4u.com
From playlist Introduction to Statistics
What is Sociology? | College Majors | College Degrees | Study Hall
What can you do with a sociology major? In Sociology you can expect to study race, gender, social issues, statistics and so much more. Basically, Sociology is the study of how groups interact and behave collectively. if you are fascinated by human behavior or have the curiosity to ask a
From playlist Fast Guides: To Electives and Majors
Ornithoscelida: What Now? (Your Dinosaurs Are Wrong Synapisode #4)
Were's moving to a new YT channel! Find it here: https://www.youtube.com/c/YourDinosaursAreWrong Part 2 of 2. What can we learn from the choices researchers made when testing this new phylogeny? Find us on our new social media pages as well, where we post updates and other fun things:
From playlist Your Dinosaurs Are Wrong
Sociology & the Scientific Method: Crash Course Sociology #3
What puts the “science” in social science? Today we’ll explore positivist sociology and how sociologists use empirical evidence to explore questions about the social world. We’ll also introduce two alternatives: interpretative sociology and critical sociology. Crash Course is made with Ad
From playlist Sociology
3. America Unequal: Taking on Economic Inequality and Race
In this panel moderated by Professor of Sociology at Stanford, Tomás Jimenez, participants analyze measures of inequality in America and its role in the 2016 presidential election. David Grusky, Professor of Sociology at Stanford, discusses various forms of income inequality and Donald Tru
From playlist Presidential Politics: Race, Class, and Gender in the 2016 E
Bias And Variance In Statistics | Bias And Variance Explained | Learn Statistics | Simplilearn
In this Bias and Variance In Statistics tutorial, we will understand what Bias and Variance stand for. Bias and Variance is the foundation concept of Machine Learning and Data Science and Analysis. The tutorial will explain Bias and Variance by taking a simple day-to-day example. 🔥Free Da
From playlist Data Science Course | Simplilearn 🔥[2022 Updated]
Group Normalization (Paper Explained)
The dirty little secret of Batch Normalization is its intrinsic dependence on the training batch size. Group Normalization attempts to achieve the benefits of normalization without batch statistics and, most importantly, without sacrificing performance compared to Batch Normalization. htt
From playlist Papers Explained
A unified stochastic modelling framework for the spread of... by Martín López García
DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore
From playlist Mathematical and statistical explorations in disease modelling and public health
You Know I’m All About that Bayes: Crash Course Statistics #24
Today we’re going to talk about Bayes Theorem and Bayesian hypothesis testing. Bayesian methods like these are different from how we've been approaching statistics so far, because they allow us to update our beliefs as we gather new information - which is how we tend to think naturally abo
From playlist Statistics
The Vocabulary of Statistics – Terminology for Beginning Statistics (1-1)
Welcome to the study of statistics! We will begin with an introduction to some new terminology that we will be using in our adventure. I will introduce you to four goals of statistics (to collect, organize, analyze, and interpret data), three meanings of the word “statistics” (practice, pr
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
What is a Statistical Treatment?
What is a statistical treatment? How to choose a statistical test. 0:00 Intro 00:19 Data Analysis 00:55 Choosing hypothesis tests 2:58 Factor Analysis 3:23 Thesis / Experimental View the flowchart here: https://www.datasciencecentral.com/profiles/blogs/hypothesis-tests-in-one-picture
From playlist Hypothesis Tests and Critical Values
Optimal Transport Methods and Applications to Statistics and... (Lecture 2) by Jose Blanchet
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019