Women in Politics
“I always used to say I don’t expect anyone, ever, to vote for me because I’m a woman. But I don’t expect them not to vote for me because I’m a woman. That’s where we’ve got to get to, where people can evaluate women as leaders because of their leadership skills. ”
Use the Figure.NZ data cards below to explore the statistics relating to women in politics.
Task #1
Look at the Figure.NZ chart Women elected at New Zealand local elections.
Create two true statements and one false statement based on this data. Share with a partner and ask them to find the false statement.
Task #2
Create a set of data that lists the percentage of women candidates in New Zealand mayoral elections in each of the 67 councils.
Use this data set to calculate the mean, median, mode, and range of the percentages of women candidates.
A { 15% } B { 34% } C { 48 } D {40%}
Women in Business
“I overheard recently that there are more CEOs named John than there are women CEOs...I’m changing my name to John.”
Use the Figure.NZ data cards below to explore the statistics around women in business.
Task #1
In statistics, two pieces of data that can be used to interpret data are the mean (or average) and the median.
Compare the two Figure.NZ charts Average hourly self-employment earnings in New Zealand and Median hourly self-employment earnings in New Zealand.
Discuss how these two sets of data give a very different picture of the earnings of self-employed men and women in New Zealand.
Why might there be such a difference in the figures shown between the two data sets?
Task #2
Compare the two Figure.NZ charts Average weekly self-employment earnings in New Zealand and Average hourly self-employment earnings in New Zealand.
What does this tell you about the number of hours that elf-employed men and women might be working? Why might this be?
A { 8,800} B {7,100 } C { $48.43 } D { $40.28 }