Transforming converts the observation from the ________ to a standardized scale.
New cards
2
horizontal axis
The area under the curve and above any interval or values on the ________ is the proportion of all observations that fall in that interval.
New cards
3
standard deviation
For a z- score distribution, the mean is always 0 and the ________ is always 1.2.2- Density Curves and Normal DistributionsDensity Curves.
New cards
4
Graphical models
________ called density curves can be helpful to describe the location of individuals within a distribution.
New cards
5
Greek letter
The notation for mean of a density curve is the ________ mu and the notation for standard deviation is the ________ sigma.Normal Distributions.
New cards
6
individual observation
To find the standardized score (z- score) for a(n) ________, the data is transformed by subtracting the mean and dividing the difference by the standard deviation.
New cards
7
curve
The ________ is an approximation that is easy to use and accurate enough for practical use.Describing Density Curves.
New cards
8
density curves
Since ________ are idealized patterns, a symmetric density curve is exactly symmetric.
New cards
9
density curve
Since the ________ is an idealized description of the distribution, the notation for mean and standard deviation are different.
New cards
10
symmetric curve
The mean is located at the center of the ________ and is the same as the median.
New cards
11
standard deviation
The ________ controls the spread of a normal curve.
Studied by 1 person
