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Am I average? and Good stuff! - teachers page

Secondary activities

Am I average?
Good stuff!

Curriculum links

Mathematics: Statistics strand – level 4

  • plan a statistical investigation arising from the consideration of an issue or an experiment of interest
  • collect appropriate data
  • choose and construct quality data displays (frequency tables, bar charts, and histograms) to communicate significant features in measurement data.

  

Background

There are two activities in this resource. The first, Am I average?, uses the SURF for Schools dataset to explore the idea of the average person.

You may want to use a subset of the dataset where students are analysing the data manually.

The sample answers below are to show one way of answering the question about what defines the average person, and what sorts of comments are expected for justifications. It is not the only, or necessarily the best, way of doing the activity. 

The second activity, Good stuff, has students collect their own data.

The problem-plan-data-analysis-conclusion (PPDAC) structure used in the activity fits with the draft new curriculum. Information on PPDAC can be found at the CensusAtSchool website: 

            www.censusatschool.org.nz/resources/how-kids-learn/

 

Sample answers

The sample answers below are based on the complete dataset.


Data and Analysis

 1. Frequency tables:

Gender Qualification
Female 107 None 39
Male 93 School 66
Vocational 67
Degree 28
Marital Status Ethnicity
Never 88 European 156
Married 70 Māori 24
Previously 21 Pacific 7
Other 21 Other 13
Income ($) Hours Worked
0 < 250 39 0 < 10 21
250 < 500 50 10 < 20 27
500 < 750 53 20 < 30 22
750 < 1,000 38 30 < 40 25
1,000 < 1,250 14 40 < 50 75
1,250 < 1,500 1 50 < 60 19
1,500 < 1,750 4 60 < 70 7
1,750 < 2,000 1 70 < 80 4


































2. Hours worked and Income should be grouped and in a histogram. Age should be histogram also, but a grouped bar graph (as shown) is often used where age is in whole years. The others could be either a pie or a bar graph. Pie graphs should only be used where there are a small number of divisions (4 or less). Otherwise they tend to be difficult to interpret. Clear title and labels for axes as well as a key (where necessary) are important.






Marital Status.




Gender.




Qualifications.




Ethnicity.




Age groups.




Age in Years.




Hours Worked per Week.




Weekly Income.



3. Only the mode or a proportion can be done for the categorical variables. The mode or a proportion are not suitable for the numerical variables.

 

 

Age (years)

Hours per week

Income ($)

Minimum

15

2

11

Lower quartile

22.75

20

300.5

Median

32

40

529

Upper quartile

38

45

810.5

Maximum

45

70

1,789

Mean

30.69

33.71

575.36

Range

30

68

1,778

 

 Conclusion

4. Many answers are possible for this.