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Statistics 101 question

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Statistics 101 question Empty Statistics 101 question

Post by sambarvada Mon Jul 18, 2011 7:59 am

In the criminal justice system this is the presumption of innocence. In both the judicial system and statistics the null hypothesis indicates that the suspect or treatment didn't do anything.

In statistical hypothesis testing used for quality control in manufacturing, the type II error is considered worse than a type I. Here the null hypothesis indicates that the product satisfies the customer's specifications. If the null hypothesis is rejected for a batch of product, it cannot be sold to the customer. Rejecting a good batch by mistake--a type I error--is a very expensive error but not as expensive as failing to reject a bad batch of product--a type II error--and shipping it to a customer. This can result in losing the customer and tarnishing the company's reputation.

http://www.intuitor.com/statistics/T1T2Errors.html

===> When it comes to manufacturing, should'nt the null hypothesis be "the product does not satisy the customer"?

sambarvada

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