01
Jun
One-sample T-Test
-
By
Byron Otieno
Introduction: Understanding the One-Sample T-Test
The one-sample t-test stands as one of the fundamental statistical procedures in d...
Statistics
01
Jun
Polynomial Regression
-
By
Polynomial regression extends beyond simple linear models, offering a powerful approach to capture curved relationships in your data. W...
01
Jun
Survival Analysis (Kaplan-Meier, Cox Proportional Hazards)
-
By
Survival analysis techniques are essential statistical methods used to analyze time-to-event data, particularly when dealing with censo...
01
Jun
Type I and Type II Errors
-
By
In the realm of statistical hypothesis testing, Type I and Type II errors represent the two fundamental ways that statistical conclusio...
01
Jun
Power Analysis and Effect Size Cohen’s d
Introduction: Understanding Statistical Power and Effect Size
Have you ever wondered why some research studies seem conclusive while...
31
May
How to Ask Your Professor for an Assignment Extension (Politely)
-
By
Billy Osida
Introduction: Navigating Extension Requests Successfully
Requesting an assignment extension can be anxiety-inducing for many student...
30
May
Residual Analysis
-
By
What is Residual Analysis?
Residual analysis is a critical diagnostic tool in statistical modeling that examines the differences bet...
30
May
Understanding Probability Theory
-
By
Probability theory forms the mathematical foundation for analyzing random phenomena and uncertainty. Whether you're a student tackling ...
30
May
Understanding the Paired T-test
-
By
The paired t-test is a statistical procedure used to determine whether the mean difference between two sets of observations is zero. In...
25
May
Generalized Linear Models (GLM)
-
By
In the vast landscape of statistical methods, Generalized Linear Models (GLM) stand as one of the most flexible and powerful frameworks...
