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1. The normal distribution is defined by two parameters: and 2. There are an infinite number of normal distributions because there are infinite possible values

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1. The normal distribution is defined by two parameters: and 2. There are an infinite number of normal distributions because there are infinite possible values for W and . There is only one standard normal distribution, however, a. The mean of the standard normal distribution is and its variance is Its standard deviation is b. The mean I and standard deviation @ of a normally distributed variable are 75 and 8. How would you transform this variable to yield a normal distribution with mean 0 and standard deviation 1

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