The Science of Life

Hello everyone, and welcome to The Physical Chemistry I Lecture Series from The Science of Life.  First semester of Physical Chemistry deals with the thermodynamics of all things chemistry.  Most of the chemistry in this course is inorganic in nature, but the laws can be applied to organic chemistry as well. I will be referencing the book "Physical Chemistry 8th Edition" by Peter Atkins and Julio de Paula (ISBN: 9780198700722) for those of you who want to follow along.  This book is good for three semesters worth of physical chemistry study: Section 1 - Equilibrium (Semester 1, Thermodynamics); Section 2 - Structure (Semester 2, Intro to Quantum Chemistry); and Section 3 - Change (Semester 3, Statistical Chemical Thermodynamics).  This Lecture Series will deal with the first semester covered by Section 1 in the book. Asking questions are greatly encouraged, so if you have any questions, please leave them in the comments.  Make sure to write statements in full senten

In this last lecture of the Basic Statistics Lecture Series, as promised last time , I will cover ANOVA, or ANalysis Of VAriance.  This is a process of comparing 3 or more distinct samples.  In the MLB, this means comparing the 6 different divisions of the MLB, or the three leagues of each league (National League or American League). The point of ANOVA is to test whether or not there is at least one inequality between three or more means.  This means that there could be as many groups as the experiment you're running requires, and the null hypothesis is always that the mean of every single group has a mean which is statistically equivalent to every other group mean.  If there is even one inequality in the group, then the null hypothesis is rejected. As mentioned last time, when we run multiple regression analysis on some data, there is a table called ANOVA.  For the baseball data I've been using throughout this entire lecture series, that table looks like this: