Estimating Sample Sizes for a Normal Distribution

This demo illustrates how the JMSLTM Library can be used to easily create a Java application that answers the difficult question "How many samples do I need to make sure my estimate is valid?" Sample too many, and you waste a lot of money; sample too few, and you don't have a reliable estimate.

You may find a detailed example of interest.

Set values for alpha, delta, and the standard deviant using the sliders.

Statistics are computed using the JMSL Library class com.imsl.stat.Cdf and its methods chi(), inverseChi(), inverseStudentsT().