DATA test 4
a continuous probability distribution is characterized by
a continuum of possible values
the mean of a probability distribution is a measure of
central location
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 higher the value of the density of the function
the more likely the value x
If the value of the standard normal variable Z is positive, then the original score is where in relationship to the mean?
to the right of the mean
the total area under the normal distribution curve is equal to one
true
the standard deviation of a probability distribution is a measure of
variability of the distribution
which equation shows the process of standardizing?
z= (x-mean)/standard deviation
Given that Z is a standard normal variable P(-1<Z<1.5) is
.7745
the standard normal distribution has a mean and a standard deviation respectively equal to
0 and 1
if we plot a continuous probability distribution the total probability under the curve is
1
according to the empirical rule, how many observations lie within +/- 1 standard deviation from the mean
68%