The Normal Distribution and Standard Deviation
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
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