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Instructional Video6:59
Packt

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - T-Test Independent Samples Overview (Example)

Higher Ed
This is an overview (example) of t-test independent samples analysis. This clip is from the chapter "Statistical Analysis" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on...
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Instructional Video9:10
Packt

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Extraction: PCA Criteria

Higher Ed
In this video, we will cover PCA criteria. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Instructional Video9:13
Packt

PMP Certification Training - Monitor and Control Project Work

Higher Ed
This video explains monitoring and controlling project work. This clip is from the chapter "Project Integration Management" of the series "PMP® Certification Training".This section explains project integration management.
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Instructional Video9:52
Packt

PMP Certification Training - Control Schedule

Higher Ed
This video explains controlling the schedule. This clip is from the chapter "Project Schedule Management" of the series "PMP® Certification Training".This section explains project schedule management.
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Instructional Video8:29
Packt

PMP Certification Training - Case Study - 9

Higher Ed
This video is a case study on a multinational company. This clip is from the chapter "Case Studies" of the series "PMP® Certification Training".This section explains various case studies.
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Instructional Video5:19
Packt

PMI-RMP Certification Training - Conducting Risk Audit

Higher Ed
This video explains conducting risk audit. This clip is from the chapter "Monitor Risk" of the series "PMI-RMP® Certification Training".This section explains techniques to monitor risks.
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Instructional Video4:56
Packt

Statistics for Data Science and Business Analysis - What is a Margin of Error and Why is it Important in Statistics?

Higher Ed
This video explains about margin of error and its importance in statistics. This clip is from the chapter "Confidence Intervals" of the series "Statistics for Data Science and Business Analysis".This section focuses on basic to advanced...
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Instructional Video4:30
Packt

Statistics for Data Science and Business Analysis - Test for the Mean; Independent Samples (Part 2)

Higher Ed
This is the second of the two-part video, where the means for two dependent samples are tested. This clip is from the chapter "Hypothesis Testing" of the series "Statistics for Data Science and Business Analysis".This section explains...
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Instructional Video26:06
The Wall Street Journal

Predicting Illness

Higher Ed
At the 2020 WSJ Health Forum, Science Editor Daniela Hernandez spoke with USC Professor of Economics Dr. Daniel Benjamin and Dr. Stephen Hsu, SVP of research at Michigan State, on the accuracy and ethicacy of "polygenic risk scores."
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Instructional Video4:44
Packt

Statistics for Data Science and Business Analysis - Standard Deviation and Coefficient of Variation

Higher Ed
This video explains standard deviation and coefficient of variation. This clip is from the chapter "Descriptive Statistics Fundamentals" of the series "Statistics for Data Science and Business Analysis".This section describes the...
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Instructional Video5:10
Packt

Statistics for Data Science and Business Analysis - A3. Normality and Homoscedasticity

Higher Ed
In this video, the third assumption of OLS, normality and homoscedasticity, are explained. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This...
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Instructional Video1:37
Next Animation Studio

Omicron’s ability to evade antibodies does not impair ability to bind to cells

12th - Higher Ed
Precise structural changes to the omicron variant’s spike protein have been identified that mean it is capable of breakthrough infections.
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Instructional Video12:35
Curated Video

ANOVA - Crash Course Statistics

12th - Higher Ed
Today we're going to continue our discussion of statistical models by showing how we can find if there are differences between multiple groups using a collection of models called ANOVA. ANOVA, which stands for Analysis of Variance is...
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Instructional Video2:45
Packt

Evaluate a machine learning model : Understanding the Results

Higher Ed
From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models and...
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Instructional Video8:22
Professor Dave Explains

Mechanisms of Natural Selection Types of Sexual Selection

12th - Higher Ed
We touched upon sexual selection when we learned about natural selection. Essentially when there is a variance in the reproductive success of a particular sex for a given species, secondary sex characteristics will develop in that...
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Instructional Video13:20
Packt

Predictive Analytics with TensorFlow 2.1: Using Statistics in Predictive Modeling

Higher Ed
In this video, we will discuss some widely used statistical concepts required in predictive analytics, followed by some basic understanding of predictive modeling, such as random sampling, central limit theorem, hypothesis testing using...
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Instructional Video9:54
Big Think

How to be a great parent or friend to transgender kids | Elijah Nealy

6th - 11th
Read more at BigThink.com: Follow Big Think here: YouTube: http://goo.gl/CPTsV5 Facebook: https://www.facebook.com/BigThinkdotcom Twitter: https://twitter.com/bigthink Elijah Nealy: It is true that transgender youth, gender diverse...
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Instructional Video1:07:36
Curated Video

How to Use Math to Get Rich in the Lottery* - Jordan Ellenberg (Wisconsin–Madison)

9th - 11th
For seven years, a group of students from MIT exploited a loophole in the Massachusetts State Lottery’s Cash WinFall game to win drawing after drawing, eventually pocketing more that $3 million. How did they do it? How did they get away...
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Instructional Video7:32
Curated Video

Why underdogs do better in hockey than basketball

9th - 11th
A statistical analysis of luck vs skill in sports. Subscribe to our channel! http://goo.gl/0bsAjO Sources: https://www.amazon.com/dp/B00A07FR4W/ref=dp-kindle-redirect?_encoding=UTF8&btkr=1...
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Instructional Video11:23
Packt

pandas for Python - A Quick Guide - Processing Numerical Data for Pandas

Higher Ed
In this video, you will learn about the various powerful tools available for numerical and statistical analysis on Pandas. We will look at the described () method, minimum and maximum values, and obtain the mean, median, variance, and...
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Instructional Video9:43
Curated Video

Aggregate Supply: Keynesian View and Classical Analysis

12th - Higher Ed
This video introduces the Keynesian view of aggregate supply and compares it to the classical approach. The presenter explains how the Keynesian curve was developed during the Great Depression when market forces failed to correct the...
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Instructional Video3:37
R Programming 101

ANOVA using R programming.

Higher Ed
If you want to perform an analysis of variance (or ANOVA) using R programming, then this video is for you. Its a quick guide to doing the analysis using base R and using the Tidyverse packages. If you're wanting to do statistical...
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Instructional Video13:47
Catalyst University

Independent t-Test and F-Test: Theory and Excel Calculation

Higher Ed
Independent t-Test and F-Test: Theory and Excel Calculation
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Instructional Video18:17
Packt

Practical Data Science using Python - Principal Component Analysis - Concepts

Higher Ed
This video introduces you to Principal Component Analysis – concepts. This clip is from the chapter "Dimensionality Reduction Using PCA" of the series "Practical Data Science Using Python".This section explains dimensionality reduction...

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