Shape and center of a distribution of quantitative data

Describe the shape and the center of the distribution of battery life (hours)

Describe the shape and the center of the distribution of maximum drop (ft)

Describe the shape and the cente of the distribution of quantitative data

Describe the shape and the center of the gas tax (cents per gallon)

Describe the shape and the center of the distribution of accidents per 1000

If a distribution is skewed to the right, which of the following is true?

• The mean is less than the median

• The mean is equal to the median

• The mean is greater than the median

• The mean and median are unrelated

What is the main reason why the mean is sensitive to outliers?

• It only considers the middle values of the data set

• It is calculated by summing all values and dividing by the count

• It is always equal to the median in any data set

• It is calculated using only the smallest and largest values

In a perfectly symmetrical distribution, how do the mean and median compare?

• The mean is greater than the median

• The mean is less than the median

• The mean and median are equal

• The mean is always greater than the mode

When is the median preferred over the mean as a measure of center?

• When the data set is symmetric

• When the data set has extreme outliers

• When the data set has no outliers

• When all data points are positive