Sample Size Explorers

Sample Size and Power Calculators

When planning experiments or studies, use the Sample Size Explorers to explore trades offs between the number of items tested and the estimated strength of the study. Use the explorers to answer the following types of questions:

• 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 

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).