Choosing Appropriate Measures

Determine whether the mean is less than, greater than, or equal to the median.

• The mean is greater than the median.

• The mean is approximately equal to the median.

• The mean is less than the median.

Determine whether the mean is less than, greater than, or equal to the median.

• The mean is approximately equal to the median.

• The mean is less than the median.

• The mean is greater than the median.

Determine whether the mean is less than, greater than, or equal to the median.

• The mean is approximately equal to the median.

• The mean is greater than the median.

• The mean is less than the median.

Determine whether the mean is less than, greater than, or equal to the median.

• The mean is approximately equal to the median.

• The mean is greater than the median.

• The mean is less than the median.

Consider the distribution type of this graph, which Measure of Center would fit it best?

• Mean

• Median

Which measure of variability should be chosen if median was a good measure of center?

• MAD

• IQR

Which measure of center should you use?

• mean

• median

What measure of central tendency (mean, median or mode) would be best for the following set of data?

• Mode, because it is the one that shows up the most.

• Median, because there is an outlier. The outlier would influence the mean too much.

• Mean, because you should always use the mean.

• There is not a best measure of central tendency for this data.

What measure of center should you choose and why?

• Mean, because the data is clustered together.

• Mean, because there is an outlier.

• Median, because the data is clustered together.

• Median, because there is an outlier.

Should we use the mean or the median to represent the center of the data?