In the following link, there a chart on page 6 that lists incarceration rate by race in each state. Just about every state and every race has a rate of roughly at least 200, except for the District of Columbia which has a white incarceration rate of 56. I would imagine that this number would completely skew the data since it is an extreme value. If incarceration rates based on race can have such extreme values then wouldn’t it be best to use another measure of central tendency as the book suggests? What measure of central tendency and/or measure of variability would you recommend using? http://www.sentencingproject.org/doc/publications/rd_stateratesofincbyraceandethnicity.pdf Do you think that the sentencing disparities between races also affect this data? Higher values would already skew the data and the mean would give us an average but with disparities in values like these across the country, do you think race is the best measure of central tendency. What are your thoughts? By only using the mean, one cannot fully convey what the data is showing. Do you think it is beneficial to use multiple measures of central tendency and measures of variability? I think it is best to use several measures when attempting to convey the full meaning behind the data. I think it is also important not to overwhelm the audience with too many numbers. What do you think are the best measures to use when attempting to explain statistics to an audience that may not be statistically savvy?