PART A. Underline the correct word (in the parenthesis) to complete the sentence. 1) The standard normal distribution is specified by a mean of ( 0, 1) and a standard deviation of ( 0, 1 ). 2) If two values of a normal random variable from the same distribution correspond to the same z score, then these values must be ( negative, positive, equal ). 3) A ( negative, positive ) z-score always corresponds to a value of the normal random variable that is less than the mean of the random variable. 4) When normal scores are transformed into z-scores, the resulting z-scores will have a mean of ( 0, 1 ). 5) For a normal random variable, the probability of observing a value less than or equal to its mean is (0,0.5, 1).
PART A. Underline the correct word (in the parenthesis) to complete the sentence. 1) The standard normal distribution is specified by a mean of ( 0, 1) and a standard deviation of ( 0, 1 ). 2) If two values of a normal random variable from the same distribution correspond to the same z score, then these values must be ( negative, positive, equal ). 3) A ( negative, positive ) z-score always corresponds to a value of the normal random variable that is less than the mean of the random variable. 4) When normal scores are transformed into z-scores, the resulting z-scores will have a mean of ( 0, 1 ). 5) For a normal random variable, the probability of observing a value less than or equal to its mean is (0,0.5, 1).
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:PART A. Underline the correct word (in the parenthesis) to complete the sentence.
1) The standard normal distribution is specified by a mean of ( 0, 1 ) and a standard deviation of ( 0, 1).
2) If two values of a normal random variable from the same distribution correspond to the same z score,
then these values must be ( negative, positive, equal ).
3) A ( negative, positive ) z-score always corresponds to a value of the normal random variable that is
less than the mean of the random variable.
4) When normal scores are transformed into z-scores, the resulting z-scores will have a mean of ( 0, 1 ).
5) For a normal random variable, the probability of observing a value less than or equal to its mean is
( 0, 0.5, 1).
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