Answered: As part of the quality-control program…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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2. As part of the quality-control program for a catalyst manufacturing line, the raw
materials (alumina and a binder) are tested for purity. The process requires that the purity of the
alumina be greater than 85%. A random sample form a recent shipment of alumina yielded the
following results (in %):
93.2 87.0 92.1 90.1 87.3 93.6
A hypothesis test will be done to determine whether or not to accept the shipment.
(a) Compute the sample mean and sample standard deviation.
(b) State the appropriate null and alternative hypotheses.
(c) Compute the P-value.
(d) Should the shipment be accepted? Explain

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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