Modeling Distributions of Data [The Practice of Statistics- Chapter 2]

original units of measurement

Transforming converts the observation from the ________ to a standardized scale.

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.

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.

Graphical models

________ called density curves can be helpful to describe the location of individuals within a distribution.

Greek letter

The notation for mean of a density curve is the ________ mu and the notation for standard deviation is the ________ sigma.Normal Distributions.

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.

curve

The ________ is an approximation that is easy to use and accurate enough for practical use.Describing Density Curves.

density curves

Since ________ are idealized patterns, a symmetric density curve is exactly symmetric.

density curve

Since the ________ is an idealized description of the distribution, the notation for mean and standard deviation are different.

symmetric curve

The mean is located at the center of the ________ and is the same as the median.

standard deviation

The ________ controls the spread of a normal curve.