Standardizer

Other statistics tools:

Combinator

Fisher Transformations

Moving Averages

Regression and Correlation

and many more »

Instructions

• This tool was initially thought of as an x-to-z score converter or z-score standardizer, hence its name. It is now a comprehensive statistical tool for univariate analysis.
• To use it, enter a data set, one value per line. End each line by pressing the Enter key so these are recognized as individual entries.
• Select how do you want to rank the results: high-to-low (descending), low-to-high (ascending), or default (as submitted). Ties are averaged with the first two modes.
• To prevent abuse, we have limited input sets to the first 100,000 characters.
• To export output (e.g., to Excel or Word), select it by clicking the red {S} link located at the top right of the generated output. Copy/paste as you usually would.

What is computed?

• The tool computes central tendency, dispersion, assymetric, and curvature measures.
• The data are converted to z-scores and the corresponding one- and two-tail percentiles computed.

Who can use it?

• Researchers, teachers, students, or anyone working with data sets.
• Users with a basic knowledge of data sets.

Suggested Exercises

• List at least three different statistical analyses where z-scores are used.
• What is the meaning of negative z-scores and one/two-tail percentiles?
• A student scored 70 (of 100) in a Chemistry test where the mean was 50 and the standard deviation was 20. His friend scored 80 (of 100) in a Spanish test where the mean was 70 and the standard deviation was 15. Which student outperformed a greater percent of students in his class?

Feedback

Contact us for any suggestion or question regarding this tool.