Chap 5: Normal, Binomial, Poisson, and Exponential Distributions
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If we plot a continuous probability distribution f(x), the total probability under the curve is
1
The normal distribution is
a continuous distribution with two parameters
One reason for standardizing random variables is to measure variables with:
different means and standard deviations on a single scale
The mean of a probability distribution is a
measure of central location
The standard deviation of a probability distribution is a
measure of the variability of the distribution
The higher the value of the density function f(x)
the more likely the value of x
If the value of the standard normal random variable Z is positive, then the original score is where in relationship to the mean?
to the right of the mean
