Select the statements that describe a normal distribution. the density curve is symmetric and bell‑shaped. the normal distribution is a continuous distribution. the normal distribution is a discrete distribution. the density curve is a flat line extending from the minimum value to the maximum value. approximately 32% of values fall more than one standard deviation from the mean. two parameters define a normal distribution—the median and the range.

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.

Step-by-step 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.

it happens during combustion and impacts the environment because the plants and trees take in that and it can cause them to die.

side xy = 10

sin(x) = 4/5

cos(x) = 3/5

tan(x) = 4/3

step-by-step explanation: