Interpreting data: Boxplots and tables
Interpreting data: Boxplots and tables

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2.3 Table activity

Table 2.4 South Australia: incidence and mortality for lung cancer, 1981

Age groupPopulation sizeNew casesDeaths
MaleFemaleMaleFemaleMaleFemale
0–394277254149371220
40–4435648355472533
45–49329113179982102
50–543648535333388268
55–5935192355556118438
60–64281313086867165715
65–69244192739088156917
70–74166132140260216121
75–799958145464610469
80–8448529749246234
85+279074777283

Simplifying the table further

Do you think it would make sense to continue this process of simplification by pooling more rows? If so, which rows would you pool?

Discussion

Comment

Since there were new cases, or deaths, and indeed usually both, in all the other age groups, the pooling of rows cannot be continued further without losing some information that was in the original table. But, in fact, there are very few cases in either gender group under the age of 40. So, if the corresponding rows are pooled, to give Table 2.4, very little information is lost (and, arguably, nothing at all important in relation to lung cancer). (You might have suggested a slightly different set of rows to pool.)

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