Many animals, including humans, tend to live in groups, herds, flocks, bands, packs, shoals, or colonies (hereafter: groups) of conspecific individuals. The size of these groups, as expressed by the number of people/etc in a group such as eight groups of nine people in each one, is an important aspect of their social environment. Group size tend to be highly variable even within the same species, thus we often need statistical measures to quantify group size and statistical tests to compare these measures between two or more samples. Group size measures are notoriously hard to handle statistically since groups sizes typically follow an aggregated (right-skewed) distribution: most groups are small, few are large, and a very few are very large. Statistical measures of group size roughly fall into two categories. (Wikipedia).
This video shows how to use unit scale to determine the actual dimensions of a model and how to determine the dimensions of a model from an actual dimensions. http://mathispower4u.yolasite.com/
From playlist Unit Scale and Scale Factor
How to calculate Samples Size Proportions
Introduction on how to calculate samples sizes from proportions. Describes the relationship of sample size and proportion. Like us on: http://www.facebook.com/PartyMoreStudyLess
From playlist Sample Size
Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
Calculate Sample Size Interval of A Population Mean
How to calculate the sample size. Includes discussion and visualization of how sample sizes changes when standard deviation, margin of error changes too. Calculating Sample Size of A Proportion https://youtu.be/ni3YAUF7qy4 Derving Equation https://youtu.be/5LvL1kbNoCM Calculating z sco
From playlist Sample Size
Introduction to standard deviation, IQR [Inter-Quartile Range], and range
From playlist Unit 1: Descriptive Statistics
This video shows how to use scale to determine the dimensions of a proportional model. http://mathispower4u.yolasite.com/
From playlist Unit Scale and Scale Factor
Independent-samples T-tests 2: Effect Size
In this video, I demonstrate how to calculate the effect size for independent-samples t-tests and interpret the results. Three effect sizes are discussed: 1. Cohen's d: two groups have similar SDs and the same size. 2. Glass's delta: if each group has a different SD. 3. Hedges' g: differ
From playlist Independent Samples t-Test
Calculate A Sample Size of A proportion
How to calculate a sample size for a proportion (percentage). Includes discussion on how sample changes as proportions (percentages) change. Calculating Sample Size https://youtu.be/i47gaNmEUM0 Calculating z scores https://www.youtube.com/playlist?list=PL6157D8E20C151497 Facebook http
From playlist Sample Size
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
G*Power 3.1 Tutorial: Repeated Measures ANOVA Power Analysis (Episode 6)
In this episode, I explain how to complete a priori power analyses for Repeated Measures ANOVA. There are three separate tests. Use the timestamps below to jump to the kind of effect you're looking for. Timecodes: 0:00 Intro 0:36 RM ANOVA Between-subjects effect 4:44 RM ANOVA within-subje
From playlist G*Power 3.1 Tutorials
G*Power 3.1 Tutorial: MANOVA Power Analysis (Episode 8)
In this episode, I explain how to complete a priori power analyses for several kinds of effects in Multivariate Analysis of Variance (MANOVA) designs. Timecodes: 0:00 Intro 0:26 Global effects 3:24 Special effects and interactions 5:21 Rep measures, between factors 6:50 Rep measures, with
From playlist G*Power 3.1 Tutorials
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
Laurent Bartholdi: Amenable groups - Lecture 2
Abstract: I shall discuss old and new results on amenability of groups, and more generally G-sets. This notion traces back to von Neumann in his study of the Hausdorff-Banach-Tarski paradox, and grew into one of the fundamental properties a group may / may not have -- each time with import
From playlist Mathematical Aspects of Computer Science
The Secret Trick to Calculate Cohen’s d in SPSS – It Can Be Done (11-9)
Cohen’s d is the most widely reported measure of effect size for t tests. Although SPSS does not calculate Cohen’s d directly, there are two ways to get it. First, you can enter your SPSS output into a downloadable calculator that will give you the effect size. Second, (at 8:30) you can us
From playlist WK11 Independent Sample t Tests and Paired t Tests - Online Statistics for the Flipped Classroom
R - Independent and Dependent t-test Example 1
Recorded: Fall 2015 Lecturer: Dr. Erin M. Buchanan This video covers how to work independent and dependent t-tests, along with data screening procedures, effect size calculation, and power analyses. Lecture materials and assignment available at statisticsofdoom.com. https://statisticsof
From playlist Learn and Use G*Power
CTNT 2018 - "Arithmetic Statistics" (Lecture 3) by Álvaro Lozano-Robledo
This is lecture 3 of a mini-course on "Arithmetic Statistics", taught by Álvaro Lozano-Robledo, during CTNT 2018, the Connecticut Summer School in Number Theory. For more information about CTNT and other resources and notes, see https://ctnt-summer.math.uconn.edu/
From playlist CTNT 2018 - "Arithmetic Statistics" by Álvaro Lozano-Robledo
SPSS - Two-Way Mixed Factorial ANOVA Example
Recorded: Spring 2015 Lecturer: Dr. Erin M. Buchanan Mixed ANOVA (Two-Way) Demo - based on information from Tabachnick and Fidell (2012) and Field (2014). Used in: Intermediate and Advanced Statistics Lecture materials and assignments available at statisticsofdoom.com. https://statisti
From playlist Learn and Use G*Power
Pablo Shmerkin: Additive combinatorics methods in fractal geometry - lecture 3
In the last few years ideas from additive combinatorics were applied to problems in fractal geometry and led to progress on some classical problems, particularly on the smoothness of Bernoulli convolutions and other self-similar measures. We will introduce some of these tools from additive
From playlist Combinatorics
#21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys #21. Finding the Sample Size Needed to Estimate a Population Proportion using StatCrunch
From playlist Statistics Final Exam
Interpreting an Independent Samples t Test – QBA Business Statistics
We begin with some troubleshooting about JASP and go into detail about how to interpret an independent samples t test, including how to interpret Levene’s test of homogeneity of variances as an assumptions check. Then I use the Stats Blocks to illustrate three important concepts in statist
From playlist Business Statistics Lectures (FA2020, QBA337 @ MSU)