Key concepts for understanding the Test for Independence.
Chi-square tests are very useful in understanding relationships and proportions. This is a concise overview.
Key concepts of the Chi-square Test for Homogeneity – how it differs from the Test for Indpendence.
Key concepts in understanding the Chi-square Goodness of Fit test.
The logic behind why a two-tail p-value is always twice the one-tail value.
How to determine which side of the distribution to use in your hypothesis test.
Understanding p-value is often a challenge for stats students. Here is a focused explanation.
Excerpt for 2-sample z-test coming
This is a student’s question about the NOIR acronym for the most common measurement scales. Here is my answer:
Picking the right distribution to use for your hypothesis test is important. For comparing means, we use either the z or the t-distribution. Here’s how to choose the right one.