Question

How does the shape of the normal distribution differ from the shapes of the uniform and exponential distributions? The normal distribution is loft-skewed and Comparatively , the uniform distribution is the exponential distribution is right-skewed and symmetric and and ranges from - to 0 has a finite range, ranges from - co to co ranges from 0 to oo,

Answer 1

The normal distribution is a symmetric bell-shaped curve where the mean, median, and mode coincide, the uniform distribution is flat and not skewed, and the exponential distribution is right-skewed with a decreasing curve from zero to positive infinity.

Step-by-step explanation:

The normal distribution is a bell-shaped curve that is symmetric around the mean, where the mean, median, and mode all align at the same point. In contrast, the uniform distribution has a flat shape where all outcomes are equally likely within a certain range, and it is not skewed. The exponential distribution is right-skewed, meaning it drops off rapidly to the right, with values that extend from zero to positive infinity. The normal distribution is continuous and can have an infinite range, where the total area under the curve equals one, and its shape can vary based on the standard deviation.