These effects might affect the probability of making a type II error (incorrectly accepting H-0) but they cannot cause the making of a type I error (incorrectly rejecting H-0).
Although most applications of hypothesis testing control the probability of making a type I error, they do not always control the probability of making a type II error.
The probability of making a type I error is denoted by α, and the probability of making a type II error is denoted by β.
It is argued that in the context of sustainable forestry, making a Type II error can be more costly than making a Type I error.
In listening to news reports, people often have an inclination to suspend their initial disbelief in order to be cheered and thereby risk making a Type 2 error.
A graph known as an operating-characteristic curve can be constructed to show how changes in the sample size affect the probability of making a type II error.
It cuts the cost of making a type of monocrystalline silicon that is leavened with trace amounts of phosphorous, which further boosts a panel's efficiency.
People who love to be entertained and beguiled or who particularly wish to avoid making a Type II error might be more apt to prefer stories to statistics.
A priori power analysis enables researchers to estimate the probability of making a Type II error (i.e., finding no significant difference when one in fact exists).
In evaluating medical claims, however, researchers generally have an opposite inclination to suspend their initial belief in order not to be beguiled and thereby risk making a Type 1 error.
OptiSolar, a company that has just begun making a type of solar panel with a thin film of active material, will install 550 megawatts in San Luis Obispo County.
