Article | REF: AF170 V1

Inferential statistics - Statistical tests

Author: Nathalie CHÈZE

Publication date: January 10, 2004

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1. Concrete problem

Suppose a factory manufactures parts on a machine. The diameter of each part depends on the setting of the machine, the better the setting, the closer the diameter of the part is to a d 0 norm; but as the setting cannot be perfect, we never have exactly d 0 . The diameter of each part can be modeled by a random variable X. Furthermore, each manufactured part has an unknown probability θ, but the same for all parts, of being defective, i.e. with a diameter greater than the standard d 0 . This number θ depends on the setting of the machine, the better the setting, the closer θ is to 0; but as the setting cannot be perfect, we never have θ = 0. A certain number n of parts are manufactured to test the setting. The observation consists in measuring the diameter...

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