The notation X~ N(?, o) is read as follows: X (represents a population distribution) has...

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The notation X~ N(?, o) is read as follows: X (represents a population distribution) has a normal distribution (represented by M) with mean ? and standard deviation o. This notation is a shorthand way to represent a distribution. Sampling Distribution and Probability Q1. If XN(42, 10) and X (represents sampling distribution of the mean) is computed from a random sample of size n 81, what is the distribution of X? In other words, what is X-N(?, ?)?

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The notation X~ N(?, o) is read as follows: X (represents a population distribution) has a normal distribution (represented by M) with mean ? and standard deviation o. This notation is a shorthand way to represent a distribution. Sampling Distribution and Probability Q1. If XN(42, 10) and X (represents sampling distribution of the mean) is computed from a random sample of size n 81, what is the distribution of X? In other words, what is X-N(?, ?)?

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