Statistics Definitions > Statistical Treatment

## What is Statistical Treatment?

Statistical treatment can mean a few different things:

- In
**Data Analysis**: Applying any statistical method — like regression or calculating a mean — to data. - In
**Factor Analysis**: Any combination of factor levels is called a treatment. - In a
**Thesis or Experiment**: A summary of the procedure, including statistical methods used.

Watch the video for an overview of statistical treatments and how to choose a statistical test:

## 1. Statistical Treatment in Data Analysis

The term “statistical treatment” is a catch all term which means to apply any statistical method to your data. Treatments are divided into two groups: **descriptive statistics**, which summarize your data as a graph or summary statistic and **inferential statistics**, which make predictions and test hypotheses about your data. Treatments could include:

- Finding standard deviations and sample standard errors,
- Finding T-Scores or Z-Scores.
- Calculating Correlation coefficients.

## 2. Treatments in Factor Analysis

Independent variables in factor analysis can have two or more different conditions (called *levels*). Any combination of levels from the different independent variables is called a **treatment**. For example, treatment 5 in the following experiment is a combination of Drug A and weekly counseling:

## 3. Treatments in a Thesis or Experiment

Sometimes you might be asked to include a treatment as part of a thesis. This is asking you to summarize the data and analysis portion of your experiment, including measurements and formulas used. For example, the following experimental summary is from *Statistical Treatment* in Acta Physiologica Scandinavica. :

Each of the test solutions was injected twice in each subject…30-42 values were obtained for the intensity, and a like number for the duration, of the pain indiced by the solution. The pain values reported in the following are arithmetical means for these 30-42 injections.”

The author goes on to provide formulas for the mean, the standard deviation and the standard error of the mean.

## References

Vogt, W.P. (2005). Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences. SAGE.

Wheelan, C. (2014). Naked Statistics. W. W. Norton & Company

Unknown author (1961) Chapter 3: Statistical Treatment. Acta Physiologica Scandinavica.

Volume 51, Issue s179 December Pages 16â€“20.