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


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