PART A. Underline the correct word (in the parenthesis) to complete the sentenc 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
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Author:Amos Gilat
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PART A. Underline the correct word (in the parenthesis) to complete the sentend
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 ).
Transcribed Image Text:PART A. Underline the correct word (in the parenthesis) to complete the sentend 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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