Example 7-1 Resistors An electronics company manufactures resistors that have a mean resistance of 100 ohms and a standard deviation of 10 ohms. The distribution of resistance is normal. Find the prob- ability that a random sample of n = 25 resistors will have an average resistance of fewer than 95 ohms. Note that the sampling distribution of X is normal with mean µx = 100 ohms and a standard deviation of Central Limit Theorem If X₁, X₂, ..., X, is a random sample of size n taken from a population (either finite or infinite) with mean μ and finite variance o² and if X is the sample mean, the limiting form of the distribution of Z= X-μ o/ √n (7-1) as n→∞, is the standard normal distribution.
Example 7-1 Resistors An electronics company manufactures resistors that have a mean resistance of 100 ohms and a standard deviation of 10 ohms. The distribution of resistance is normal. Find the prob- ability that a random sample of n = 25 resistors will have an average resistance of fewer than 95 ohms. Note that the sampling distribution of X is normal with mean µx = 100 ohms and a standard deviation of Central Limit Theorem If X₁, X₂, ..., X, is a random sample of size n taken from a population (either finite or infinite) with mean μ and finite variance o² and if X is the sample mean, the limiting form of the distribution of Z= X-μ o/ √n (7-1) as n→∞, is the standard normal distribution.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 26PFA
Related questions
Question
![Example 7-1
Resistors An electronics company manufactures resistors that have a mean resistance of 100
ohms and a standard deviation of 10 ohms. The distribution of resistance is normal. Find the prob-
ability that a random sample of n = 25 resistors will have an average resistance of fewer than 95 ohms.
Note that the sampling distribution of X is normal with mean µ = 100 ohms and a standard deviation of
Central Limit
Theorem
If X₁, X₂, ..., X, is a random sample of size n taken from a population (either finite or
infinite) with mean μ and finite variance o² and if X is the sample mean, the limiting
form of the distribution of
Z=
X-μ
o/ √n
(7-1)
as n→∞, is the standard normal distribution.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4ad22777-b834-4537-8872-df94a164ed85%2F5098bda5-d2e5-40b2-94cf-6d02e9aebed5%2Fm907x85_processed.png&w=3840&q=75)
Transcribed Image Text:Example 7-1
Resistors An electronics company manufactures resistors that have a mean resistance of 100
ohms and a standard deviation of 10 ohms. The distribution of resistance is normal. Find the prob-
ability that a random sample of n = 25 resistors will have an average resistance of fewer than 95 ohms.
Note that the sampling distribution of X is normal with mean µ = 100 ohms and a standard deviation of
Central Limit
Theorem
If X₁, X₂, ..., X, is a random sample of size n taken from a population (either finite or
infinite) with mean μ and finite variance o² and if X is the sample mean, the limiting
form of the distribution of
Z=
X-μ
o/ √n
(7-1)
as n→∞, is the standard normal distribution.
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