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STATS 500 Lecture 3: STATS 500 – Lecture 3

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crimsonwalrus133
19 Oct 2016
School
U of M
Department
Statistics
Course
STATS 500
Professor
Paul Green

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Document Summary

Math/stats review distributions: the normal distribution. X is a normal random variable with parameters and 2 if the pdf is (cid:1858)(cid:4666)|,(cid:2870)(cid:4667)= (cid:2869) (cid:2870)2(cid:1857) (cid:4666) (cid:4667)2/(cid:2870)2 where -

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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

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Related Questions

A probability distribution for all possible values of a sample statistic is known as
A.normal distribution
B. uniform distribution random c.sampling sampling distribution
D.sampling distribution

A function of a random variable which describes the probability that random variable is
Select one
A.Probability distribution function
B. Discrete random variable
C. Sampling distribution function
D. Continuous random variable

Consider the normal distribution the vanability is increased and the height of the curve is decreased for the
A. Larger value of standard deviation
B. Smaller value of mean
C. Smaller valie of stabdard deviation
D. Larger value of mean

The sampling destination of the sample mean is a distribution of
A. Sample statistic /estimator
B. individual population values
C. individual sample values
D. Population parameters


The sampling distribution of the mean is distribution of
A. Sample statistic
B. Population parameters
C. individual population values
D. individual sample values

If x has a normal distribution with μ =1 and σ =4, we denote y=4*x+8. Then, the mean of the random variable y is

If x has a normal distribution with μ =1 and σ =4, we denote y=4*x+8. Then, the mean of the random variable y is