Given any random variable, X, with any probability distribution (discrete or continuous), and with meanu and standard deviation o, as the sample size n goes to infinity: (circle the best completion of this sentence) O X approaches the log normal distribution. ச OX becomes normally distributed with mean and standard deviation - u μ estimates X and o estimates s. X becomes log normally distributed with mean and standard deviation
Given any random variable, X, with any probability distribution (discrete or continuous), and with meanu and standard deviation o, as the sample size n goes to infinity: (circle the best completion of this sentence) O X approaches the log normal distribution. ச OX becomes normally distributed with mean and standard deviation - u μ estimates X and o estimates s. X becomes log normally distributed with mean and standard deviation
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 14PPS
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![Given any random variable, X, with any probability distribution (discrete or continuous), and with meanu and standard deviation o, as
the sample size n goes to infinity: (circle the best completion of this sentence)
O X approaches the log normal distribution.
ச
OX becomes normally distributed with mean μ and standard deviation -
u
μ estimates X and estimates s.
X becomes log normally distributed with mean and standard deviation](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd1d700aa-072a-4ff7-be1d-cdca0f10aa9d%2Fcb9dc283-ecef-4f30-ab34-f6d854b0e49d%2Fsgg6ic_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Given any random variable, X, with any probability distribution (discrete or continuous), and with meanu and standard deviation o, as
the sample size n goes to infinity: (circle the best completion of this sentence)
O X approaches the log normal distribution.
ச
OX becomes normally distributed with mean μ and standard deviation -
u
μ estimates X and estimates s.
X becomes log normally distributed with mean and standard deviation
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