Objective To use a normal distribution
A discrete probability distribution has a finite number of possible events, or values. The binomial probability distribution you studied in the preceding lesson is a discrete probability distribution.
The events for a continuous probability distribution can be any value in an interval of real numbers. If a data set is large, the distribution of its discrete values approximates a continuous distribution.
Essential Understanding Many common statistics (such as human height, weight, or blood pressure) gathered from samples in the natural world tend to have a normal distribution about their mean.
A normal distribution has data that vary randomly from the mean. The graph of a normal distribution is a normal curve.
In a normal distribution,
A normal distribution has a symmetric bell shape centered on the mean.