Take a closer look at two common data models: ANCOVA (Analysis of Covariance) and RMA (Repeated Measures ANOVA).

This Crash Course video lesson, students will learn the importance of looking at the quality of the science and the quality of the journalism for news stories.

Today we're going to discuss the Binomial Distribution and a special case of this distribution known as a Bernoulli Distribution. The formulas that define these distributions provide us with shortcuts for calculating the probabilities of...

This video introduces Bayesian statistics and discusses how this new approach to statistics has revolutionized the field from artificial intelligence and clinical trials to how your computer filters spam! We'll also discuss the Law of...

This video discusses ethical data collection. From the Tuskegee syphilis experiments and Henrietta Lacks' HeLa cells to the horrifying experiments performed at Nazi concentration camps, many strides have been made from Institutional...

This video is an introduction to probability. You will learn about how the addition (OR) rule, the multiplication (AND) rule, and conditional probabilities help us figure out the likelihood of sequences of events happening. [12:00]

Geometric probabilities, and probabilities in general, allow us to guess how long we'll have to wait for something to happen. This video discusses how they can be used to figure out how many Bertie Bott's Every Flavour Beans you could...

Video discusses degrees of freedom and effect sizes as related to a sampling of data within every day settings.

T test, or comparing the mean of two different groups, is applied to everyday settings.

The use of statistics in the courtroom to make decisions is discussed by examining three cases.

Using the framework of the General Linear Model, the Regression Model is explained. Points discussed include the following: Regression Line, Residual Plot, F Test.

The moderator discusses Replicability and Reproducible Analysis in order to confirm statistics during a time where some describe as a Replicability Crisis.

The ANOVA DAY,ANOVA Model and how to deal with intersectional groups. Discussed are the following: Factorial ANOVA, F Test, Sums of Squares Between Groups, ETA Squared, Interaction Plot, Main Effects.

From the framework of the General Linear Model, the ANOVA--Analysis of Variance is discussed. Also explained are the following: R.A. Fisher's Potato Study, Sums of Squares, Sums of Squares for Error, Omnibus Test.

Moderator discusses P-Hacking or data gone wrong, using the framework of Null Hypothesis Significance Testing. Family Wise Error Rate and Bonferroni Corrections are also explained.

The moderator analyzes categorical variables by using Chi Square Tests: Goodness of Fit, Tests of Independence, and Test of Homogeneity.

Discusses how Big Data is collected and used.

Unsupervised Machine Learning have not true categories to compare in order to predict a future outcome. Therefore, two types of clustering are applied: K-Means and Hierarchical clustering. Centroid, Silhouette Score, Agglomerative...

Supervised Machine Learning predicts future outcomes by applying the following models: Logistic Regression, Confusion Matrix, and K-Nearest Neighbor. Also explained are Linear Discriminant Analysis and Bayes Rule.

Explains the downside of Big Data and offers solutions to everyday problems. Bias is discussed as related to data.

Today we're going to talk big picture about what Neural Networks are and how they work. Neural Networks, which are computer models that act like neurons in the human brain, are really popular right now - they're being used in everything...

A video reviewing over on p-values and Null Hypothesis Significance Testing (or NHST). Learn how to use the NHST and p-value to tell you if something is statistically significant, but as you'll see that doesn't necessarily mean the...

Do you know how close your predictions were to the actual value? This video will review over examples of both t-tests and z-tests to explain how critical values and p values are different ways of telling the same statistical information....

View some examples of how Bayesian inference can be used for continuous data sets and be applied both in science and everyday life in this video. [11:13]