SuperEasyStats – Help | Margil Solutions LLC

The links below should answer most questions. If you can’t find an answer you’re looking for, let us know.

Using SuperEasyStats...

Many SuperEasyStats tools have built-in help, but there are also plenty of resources here. Below is a quick reference with links to examples:

Basic tools The "Tell me about my data" feature allows you to quickly calculate a basic statistical description of your data. The "Random Numbers" function allows you to generate random numbers from different distributions.		Tell me about my data includes: Mean, median, and mode Adjustable confidence level for the mean Largest value, smallest value, and range Variance and standard deviation Estimates of both the Normal and Exponential fit of your data Along with a basic histogram so you can see the "shape" of your data.
Hypothesis tests There are many ways to compare data sets to look for statistically significant differences. SuperEasyStats provides multiple options, including...		Compare the means and standard deviations of two data sets (example). Compare the means of paired data sets (example). Compare the means of three or more data sets (example). Compare two proportions (example). Look for correlations in categorical data (example).
Calculators SuperEasyStats includes functions that will help you analyze and understand your data, including...		Sample size - a calculator to help you determine how many samples you need to calculate a confidence interval, or conduct a hypothesis test. Confidence intervals - a calculator to help you understand the location of the true mean or proportion of your data.
Capability SuperEasyStats allows you to create many interactive charts to help you visually understand and analyze your data.		Variable Data Capability - Create a detailed, interactive Histogram to understand key process metrics such as Cp, Cpk, Sigma Capability and yield. This function will also report on the Normality of your data (example). Attribute Data Capability - A calculator to quantify important metrics such as DPMO, DPU, and Sigma Capability. Measurement System Analysis - Both Attribute (example) and Variable (example) Measurement System Analysis to help you understand how well your measurement system is performing.
Charts SuperEasyStats allows you to create many interactive charts to help you visually understand and analyze your data.		Control charts - SuperEasyStats allows you to build and analyze many different kinds of Control Charts. See a full list of Control Charts with links to examples. Scatter plots - See if an input variable affects an output variable and make predictions using the Scatter Plot with Regression feature (example). Pareto Chart - Understand, visualize, and prioritize problems that are affecting processes (example).