The Normal Distribution and Standard Deviation

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normal distribution The total area under the normal curve is equal to 1 And, the probability that a normal random variable X is less than positive infinity is equal to 1; that is,

As the notation indicates, the normal distribution depends only on the mean and the standard deviation Since the area under the curve must equal one, a change normal distribution 2 The mean, median, and mode are equal The middle point of a normal distribution is the point with the maximum frequency, which means that it possesses the

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normal distribution The total area under the normal curve is equal to 1 And, the probability that a normal random variable X is less than positive infinity is equal to 1; that is,

normalization As the notation indicates, the normal distribution depends only on the mean and the standard deviation Since the area under the curve must equal one, a change

2 The mean, median, and mode are equal The middle point of a normal distribution is the point with the maximum frequency, which means that it possesses the