# Author Archive | John Clark

• John loves math and science to the point that his family buys him statistics and chemistry books as gifts for his birthday. After earning a Bachelor’s degree from Murray State University, he teaches chemistry and physics. While earning his Doctorate in Education from Western Kentucky University, he went full on geek for statistics and research methods. When he is not nerding out on science and math, John loves to face paint, write with fountain pens, and dote on his loving wife and family.

## How to Perform a Simple Regression Analysis

So you have data, do you? That’s awesome because anyone that loves statistics loves data! And data begs to be analyzed. Most of the time, you should start with a graph and some type of linear regression. But once you have the equation what do you do? That’s where simple regression analysis comes in. Key […]

## How to Make a Histogram

Statistics is all about reading patterns in the numbers. One of the easiest ways to read patterns is to look at a picture, or graph, of the data. In fact, it is so easy, it should be the first thing that you do as a part of any analysis. The most common type of statistical […]

## F-distribution Explained

In statistics, you have to determine if the pattern you identify in the data is significantly different from no pattern at all. There are a bunch of ways to do this, but the most common is the use of probability functions. Probability functions permit you to determine the chance that your model is different. Among […]

## Measures of Position Explained

What do you do when you’re lost? You use tools like a compass and GPS to figure out where you are and how to get where you are going. Well, in statistics there are ways to figure out where a data point or set falls. These are called measures of position. Once we know where […]

## Intro to R Statistics and Data Analysis

There are a lot of statistics programs that can help facilitate your data analysis. Each one is unique and has something special to offer you. But there is one program that stands out above the rest… R. R is a statistics program that is capable for very powerful analyses, but its language can be daunting […]

## Factorial Design Basics for Statistics

One of the golden standards of experimental design in both the physical and social sciences is a random controlled experiment with only one dependent variable. The limitation to that design is that it overlooks the effects multiple variables may have with one another. In statistics, there is a special design that not only deals with […]

## How to Perform a Heteroskedasticity Test

In perfect statistical world, all of our data would always follow a nice straight line with no error at all. Of course, actual statistics don’t actually work that way. The data can be all over the place and follow a rhyme or reason we didn’t predict. That’s why we look for patterns in the data […]

## OLS Assumptions

In statistics, there are numerous ways to analyze data. The whole field revolves around it. Of course, the way that you analyze data depends on both what you want to know and what the data actually are. One of the most common ways to analyze data is using regression models. These types of models estimate […]

## Measures of Dispersion Explained

How normal is your data? I mean, does your sample seem to represent the population well? Does your data have a regular pattern? Is your data precise or vague? In statistics, we answer these questions using measures of central tendency and measures of dispersion. There are three big measures that help determine if your data […]

## Understanding Variance Analysis

In statistics, you often want to compare several groups to each other to see if there are differences. These comparisons often use variance analysis. Statistical comparisons can often involve numerous groups and variables, but luckily there are several test designed specifically for analyzing the variance between these groups. Variance Analysis Basics In its most basic […]