Answer:
The density curve is symmetric and bell‑shaped.
The normal distribution is a continuous distribution.
Approximately 32% of values fall more than one standard deviation from the mean.
Explanation:
Lets take a look at each statement.
The density curve is symmetric and bell‑shaped.
True.
The normal distribution is a continuous distribution.
True, the value of the measure can be a decimal number, like 10.5, for example.
The normal distribution is a discrete distribution.
False. Either the distribution is continuous, or it is discrete. In this case, it is continuous.
The density curve is a flat line extending from the minimum value to the maximum value.
False. This statements describes the uniform probability distribution.
Approximately 32% of values fall more than one standard deviation from the mean.
True. 68% are within 1 standard deviation of the mean and 32% are more than one standard deviation from the mean.
Two parameters define a normal distribution—the median and the range.
False. It is the mean and the standard deviation.