This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
Mean v Median and the implications
Differences between the mean and median suggest the presence of outliers and/or the possible shape of a distribution
From playlist Unit 1: Descriptive Statistics
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
More Standard Deviation and Variance of Joint Discrete Random Variables
Further example and understanding of Joint Discrete random variables and their standard deviation and variance
From playlist Unit 6 Probability B: Random Variables & Binomial Probability & Counting Techniques
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
An overview and introduction to understanding sampling distributions of proportions [sample proportions] and how to calculate them
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
Find x given the z-score, sample mean, and sample standard deviation
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Find x given the z-score, sample mean, and sample standard deviation
From playlist Statistics
sample statistics versus population parameters
From playlist Unit 1: Descriptive Statistics
Principal Component Analysis (PCA)
Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data. Book PDF: http://databookuw.com/databook.pdf Book Website: http://databookuw.com These lectures follow Chapter 1 from: "Data-Driven S
From playlist Data-Driven Science and Engineering
Nexus Trimester - Ankit Garg (Princeton)
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality Ankit Garg (Princeton) March 03, 2016 Abstract: We study the tradeoff between the statistical error and communication cost of distributed statistical estimation problems in high di
From playlist Nexus Trimester - 2016 - Central Workshop
How To Design A City Bike Service Mobile App | Session 11 | #mobileapp | #sketch | #appdesign
Don’t forget to subscribe! This project series is about how to design a mobile app in sketch. We will design a city bike service mobile app as an example of how you can design amazing mobile apps that are loved by the users. Google’s Play Store overflows with close to 4 million mobile ap
From playlist Design A Mobile App For City Bike Service Using Sketch
Cumulative geometric probability (greater than a value) | AP Statistics | Khan Academy
Probability for a geometric random variable being greater than a certain value. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/random-variables-ap/geometric-random-variable/v/cumulative-geometric-probability-greater-than-a-value?utm_source=yout
From playlist Random variables | AP Statistics | Khan Academy
Kirone Mallick - Bethe Ansatz technique and application (4)
PROGRAM: BANGALORE SCHOOL ON STATISTICAL PHYSICS - V DATES: Monday 31 Mar, 2014 - Saturday 12 Apr, 2014 VENUE: Raman Research Institute, Bangalore PROGRAM LINK: http://www.icts.res.in/program/BSSP2014 This advanced level school was started in 2010 at the Raman Research Institute, Banga
From playlist Bangalore School on Statistical Physics - V
21c Spatial Data Analytics: Scaling Statistics
Subsurface modeling course lecture on scaling statistics.
From playlist Spatial Data Analytics and Modeling
Hypothesis testing (ALL YOU NEED TO KNOW!)
0:00 Introduction 3:41 Intuition behind hypothesis testing 10:16 Example 1 12:57 Null hypothesis 22:00 Test statistic 28:27 p-valiue 33:38 Confidence intervals 37:46 Significant treatment difference 42:25 Power and Sample size (THE BEST!) 50:47 Example 2
From playlist Statistical Inference (7 videos)
Konstantin Khanin: Between mathematics and physics
Abstract: Over the past few decades we have witnessed an unparalleled process of unification between mathematics and physics. In this talk we shall discuss some of Sinai's seminal results which hugely contributed to this process. Sinai's contributions were based on outstanding new ideas in
From playlist Abel Lectures
Anna Seigal: "Tensors in Statistics and Data Analysis"
Watch part 1/2 here: https://youtu.be/9unKtBoO5Hw Tensor Methods and Emerging Applications to the Physical and Data Sciences Tutorials 2021 "Tensors in Statistics and Data Analysis" Anna Seigal - University of Oxford Abstract: I will give an overview of tensors as they arise in settings
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
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
Introduction to Probability and Statistics 131A. Lecture 12. Fitting of Probability Distributions
UCI Math 131A: Introduction to Probability and Statistics (Summer 2013) Lec 12. Introduction to Probability and Statistics: Fitting of Probability Distributions View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html Instructor: Micha
From playlist Math 131A: Introduction to Probability and Statistics