Design of Experiments Guide > Sample Size Explorers
Publication date: 07/15/2025

Sample Size Explorers

Sample Size and Power Calculators

When planning experiments or studies, use the Sample Size Explorers to answer questions like these:

How many units should I test?

Are the differences in treatment means detectable?

How many samples are needed to construct an interval with a specified width?

How many units must I test to estimate failure time?

The Sample Size Explorers are a collection of interactive utilities that enable you to adjust study parameters and assumptions to explore different study designs. The tools are grouped by use:

power for hypothesis testing

confidence interval for interval estimation

reliability for reliability demonstrations and life testing

quality for sigma quality level

Figure 29.1 Sample Size Explorer for One Sample Mean 

Sample Size Explorer for One Sample Mean

Contents

Overview of the Sample Size Explorers Platform

Example of Sample Size Explorers

Launch Sample Size Explorers

Power Explorers for Hypothesis Tests

Power for One Sample Mean
Power for One Sample Proportion
Power for One Sample Variance
Power for One Sample Equivalence of Means
Power for One Sample Counts Per Unit
Power for Two Independent Sample Means
Power for Two Independent Sample Proportions
Power for Two Independent Sample Variances
Power for Two Independent Sample Equivalence of Means
Power for Two Independent Sample Counts Per Unit
Power for Two Correlated Sample Means
Power for ANOVA

Confidence Interval Explorers

Confidence Interval for One Sample Mean
Confidence Interval for One Sample Proportion
Confidence Interval for One Sample Variance
Confidence Interval for One Sample Counts per Unit
Confidence Interval for Two Independent Sample Means
Confidence Interval for Two Independent Sample Proportions
Confidence Interval for Two Independent Sample Variances
Confidence Interval for Two Independent Counts per Unit

Reliability Explorers

Parametric Reliability Demonstration
Nonparametric Reliability Demonstration
Reliability Life Testing
Parametric Tolerance Intervals
Nonparametric Tolerance Intervals

Quality Explorers

Acceptance Single Sampling Plan
Sigma Quality Level

Remembered Settings in the Sample Size Explorers

Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).