Answer: The statements that describe a normal distribution are;
a. The density curve is symmetric and bell-shaped.
b. The normal distribution is a continuous distribution.
Step-by-step explanation: The normal distribution is the most commonly used and important statistic tool. It is referred to as the "Bell Curve" because of its bell-shape and the the fact that it is symmetric density curve. A continuous distribution defines the possibilities of a continuous random variable and a prime example of a continuous distribution is the Normal distribution.
The normal distribution is not a discrete distribution because it does not have discrete variables. The normal distribution is not a flat line that extends from a minimum to a maximum but it is a continuous distribution that extends in a bell shape from one minimum value going up to a maximum value before descending back to another minimum value.
68% of a normal distribution curve falls with one standard deviation from the mean not 32%.
The two parameters that define a normal distribution is the mean and the standard deviation.
