Heart rate variability

Statistics: Introduction (10 of 13) Variability

Visit http://ilectureonline.com for more math and science lectures! We will discuss variability: The accuracy of statistical results depend on the (sources of) variability of the collected data. To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 . Next

From playlist STATISTICS CH 1 INTRODUCTION

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: Ch 7 Sample Variability (3 of 14) The Inference of the Sample Distribution

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 if the number of samples is greater than or equal to 25 then: 1) the distribution of the sample means is a normal distr

From playlist STATISTICS CH 7 SAMPLE VARIABILILTY

Excel for Statistics 4--Variability

This video explains measures of variability, such as the range and the standard deviation.

From playlist RStats Videos

Lesson: Calculate a Confidence Interval for a Population Proportion

This lesson explains how to calculator a confidence interval for a population proportion.

From playlist Confidence Intervals

The Range & Interquartile Range – Two Simple Measures of Variability (6-2)

We will begin with two simple measures of variability: the range and the interquartile range. Range is the variability between the two most extreme scores in the distribution. It is the difference between the largest and smallest scores. Outliers can affect the range, but not the interquar

From playlist WK6 Measures of Variability - Online Statistics for the Flipped Classroom

Computing Variability with SPSS – Standard Deviation, Variance, & Range (6-9)

Let’s learn how to compute three measures of variability – standard deviation, variance, and range – using SPSS. To follow along with this example, you should download the data set LikeLike.xlsx to your desktop. We will import the Excel data into SPSS and then compute the measures of varia

From playlist Introduction to SPSS Statistics 27

Statistics: Ch 7 Sample Variability (11 of 14) What is "The Standard Error of the Mean"?

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 What is “the standard error of the mean”? It is the standard deviation (of the sampling distribution) of the sample means. Previous

From playlist STATISTICS CH 7 SAMPLE VARIABILILTY

Measures of Variability in Excel: Variance, Standard Deviation, Range (WK5)

From playlist Central Tendency and Variability in Statistics (WK 5 - QBA 237)

DEFCON 16: Brain Games: Make your own Biofeedback Video Game

Speakers: Ne0nRa1n Joe "Kingpin" GrandFounder, Grand Idea Studios More and more scientific studies are weighing in on video games and their positive benefits. The dated idea of video games being damaging to one's health and a waste of time is slowly being replaced with the idea of video g

From playlist DEFCON 16

SPSS - One-Way Repeated Measures ANOVA Example

Recorded: Spring 2015 Lecturer: Dr. Erin M. Buchanan Repeated Measures ANOVA (One-Way) Demo - based on information from Tabachnick and Fidell (2012) and Field (2014). Includes data screening, how to run the analysis, output interpretation, post hoc tests, effect size, and power. Lecture

From playlist Learn and Use G*Power

JASP - Multiple Linear Regression

Lecturer: Dr. Erin M. Buchanan Spring 2020 Finish out the regression series by checking out this video on multiple linear regression. This video follows our simple linear regression model from JASP! Learn more and find our documents on our OSF page: https://osf.io/t56kg/. Look at our bas

From playlist Learn JASP + Statistics

StatQuest: Random Forests in R

Random Forests are an easy to understand and easy to use machine learning technique that is surprisingly powerful. Here I show you, step by step, how to use them in R. NOTE: There is an error at 13:26. I meant to call "as.dist()" instead of "dist()". The code that I used in this video ca

From playlist Statistics and Machine Learning in R

Statistical Learning: 4.3 Multivariate Logistic Regression

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

IMT4093 2015, Week 4, Part 2

Mobile research, mHealth European Commission Directive

From playlist Archive - Research in Mobile/Wearable Tech

6. Physiological Time-Series

MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Prof. Sontag gives a recap of risk stratification and then ex

From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019

Application Problem Using an Equation (Target Heart Rate - L5.5)

This video explains how to solve an application problem involving the equation for target heart rate. Video content created by Jenifer Bohart, William Meacham, Judy Sutor, and Donna Guhse from SCC (CC-BY 4.0)

From playlist Solving Linear Equation Application Problems

R - SEM - Latent (Growth) Curve Modeling Class Assignment

Recorded: Summer 2015 Lecturer: Dr. Erin M. Buchanan Packages needed: lavaan, semPlot Class assignment for structural equation modeling. Topic covers how program different types of latent curve models (linear only) including fit indices, random slopes and intercepts, and their interpretat

From playlist Structural Equation Modeling

Random and systematic error explained: from fizzics.org

In scientific experiments and measurement it is almost never possible to be absolutely accurate. We tend to make two types of error, these are either random or systematic. The video uses examples to explain the difference and the first steps you might take to reduce them. Notes to support

From playlist Units of measurement

R - One Way Repeated Measures ANOVA Example

Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2016 This video covers theory on how to work a one-way repeated measures ANOVA from power, data screening, ANOVA, post hoc, effect size, and graphs using ggplot2. Note: This video was recorded live during class - it will h

From playlist Learn and Use G*Power