The distribution of the top 1% of individual incomes in the US is strongly skewed to the right. In 1997, the two measures of center for the top 1% of individual incomes were $330,000 and $675,000. Which number represents the mean income of the top 1% and which number represents the median income of the top 1%?

Below are actual statistics from the 2020-2021 Miami Heat Basketball players. It demonstrates the number of points scored per game for each player on the team during the regular season (in other words the number of points they scored all season, divided by the total number of games they played).  Is the mode a good way to represent the number of points scored per game for all the players on the heat? why or why not? Why is the mean different from the mode and median? What do you think might be the cause of this difference?

Which statistic would you use if you are interested in comparing the mean number of hours worked by sex.

should have the right to marry. (The 2014 data were collected before the 2015 U.S. C2. GSS 2014 and GSS 2018 respondents were asked their opinion on whether homosexuals 30 measured on a 5-point scale from strongly agree (1) to strongly disagree (5). Supreme Court decision granting same-sex couples the right to marry. Responses wer measured on a 5-point scale from strongly agree (1) to strong!y aisagiee (2). Cumulative Percentage Homosexuals Should Have Right to Marry (2014) Percentage Frequency 32.5 32.5 Strongly agree 251 57.5 25.2 Agree 195 67.3 Neither agree nor disagree 9.6 74 79.2 Disagree 92 11.9 100.0 Strongly disagree 161 20.8 Total 773 100.0 Homosexuals Should Have Cumulative Right to Marry (2018) Frequency Percentage Percentage Strongly agree 293 39.5 39.5 Agree 200 27.0 66.5 Neither agree nor disagree 70 9.4 75.9 Disagree 67 9.0 84.9 Strongly disagree 111 15.0 99.9 Total 741 99.9 a. What is the level of measurement for this variable? b. What is the mode for 2014? For 2018?