Can not locate the means Use the probability distribution to complete parts (a) and (b) below.The number of defects per 1000 machine parts inspectedDefects345Probability0.2630.2910.2380.1490.0440.015(a) Find the mean, variance, and standard deviation of the probability distribution.The mean is(Round to one decimal place as needed.)The variance is(Round to one decimal place as needed.)The standard deviation is.(Round to one decimal place as needed.)(b) Interpret the results.The mean isso the average batch of 1000 machine parts hasThe standard deviation is, so the typical number of defects in a batch of 1000(Round to one decimal place as needed.)

Mean = Summation (x.p(xi)) Variance = summation (x2.p(xi)) - (mean2) Standard deviation = √variance

Answered: Use the probability distribution to…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 22PFA

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Can not locate the means

Use the probability distribution to complete parts (a) and (b) below.
The number of defects per 1000 machine parts inspected
Defects
3
4
5
Probability
0.263
0.291
0.238
0.149
0.044
0.015
(a) Find the mean, variance, and standard deviation of the probability distribution.
The mean is
(Round to one decimal place as needed.)
The variance is
(Round to one decimal place as needed.)
The standard deviation is.
(Round to one decimal place as needed.)
(b) Interpret the results.
The mean is
so the average batch of 1000 machine parts has
The standard deviation is, so the typical number of defects in a batch of 1000
(Round to one decimal place as needed.)

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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