29 Oct Multiple Regression Machine learning and modelling are very fashionable in data science right now. They are built to reliably predict a dependent…Read More
29 Oct Analysis of Variance – ANOVA While T-tests are great for small datasets, often you will have many variables at play, and more than two experimental…Read More
29 Oct Correlation ≠ Causation Cheese is very dangerous. Did you know that per capita cheese consumption is correlated to the number of people that…Read More
29 Oct T-Test The first statistical test we learn about sounds like a pleasant, warming drink. Unfortunately, the T-test bares very little semblance…Read More
29 Oct Non-Parametric Tests “Do not judge a book by its cover,” as the old saying goes. Data can often be deceptive and is…Read More
29 Oct The Importance of Effect Size Beginning in 1990, scientists embarked on an epic mission - sequencing the entire human genome. By sequencing our DNA, scientists…Read More
29 Oct Correlations Let's imagine it is a hot summer day and you are very thirsty. You look around and see a vending…Read More
29 Oct Outliers Everyone who has ever done a research project knows about outliers. While many of the values that you collect cluster…Read More
29 Oct Chi-Squared Test You and your friend bought a pizza with thirteen pieces. After demolishing six pieces, both of you rush for the…Read More
29 Oct Before You Get Started It is common knowledge that statistics does not inspire a lot of excitement from university students. Let me ask you,…Read More
29 Oct Why statistics is important Facts are stubborn things, but statistics are pliable. Mark Twain Statistics are the way we implicitly and explicitly navigate the…Read More
29 Oct Selecting A Statistical Test Science and technology headlines in the news are always presenting some association or group difference. Sometimes it sounds like this:…Read More
29 Oct What Do You Mean? Understanding Central Tendency One of the most important aspects of communicating information is clarity. But often, we are not clear or specific when…Read More
29 Oct Sample Size Whenever scientists want to test a null hypothesis, they need to consider their sample size. That is, how many individuals…Read More
29 Oct What are Confidence Intervals? Another frustrating aspect of science and statistics is the challenge of determining true values. While we can get a good…Read More
29 Oct How Reliable Are Your Measures? Introducing Cronbach’s Alpha I am sure you recall the stress of Leaving Certs, those dreaded standardized tests. When you become a superstar researcher,…Read More
29 Oct To Err is to do Statistics: Types of Statistical Errors Raise your hand if you have ever made a big mistake? Sometimes mistakes can hurt, for example, as anyone who…Read More
29 Oct Types of Data Oh, all the wonderful data you will collect! Data is all around us, you just need to know where to…Read More
29 Oct Measuring Reality: Independent & Dependent Variables “The true method of knowledge is experiment.” William Blake How do we know what we know? Observation and experimentation…Read More
29 Oct Analysis of Variance – ANOVA While T-tests are great for small datasets, often you’ll have many variables at play, and more than two experimental groups.…Read More