Accurate prediction of the timing of death in patients with a terminal illness is important for their care. The following graph compares the survival times of terminally ill cancer patients with the clinical prediction of their survival times. What pattern would we see if this graph depicted means instead of medians?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Accurate prediction of the timing of death in patients with a terminal illness is
important for their care. The following graph compares the survival times of
terminally ill cancer patients with the clinical prediction of their survival times.
What pattern would we see if this graph depicted means instead of medians?
Actual survival (months)
15-
10-
5
I
1
|||||
1
||||||||||
-Ill
I
|||||||||
|||||
2 3
Clinical prediction (months)
4
5 6 7-9 10-12 13-24
the mean survival for clinical predictions under 4 months would likely increase
O no changes would be visible
O the means survival for clinical predictions over 6 months would likely decrease
O the mean survival for clinical predictions under 4 months would likely decrease
Transcribed Image Text:Accurate prediction of the timing of death in patients with a terminal illness is important for their care. The following graph compares the survival times of terminally ill cancer patients with the clinical prediction of their survival times. What pattern would we see if this graph depicted means instead of medians? Actual survival (months) 15- 10- 5 I 1 ||||| 1 |||||||||| -Ill I ||||||||| ||||| 2 3 Clinical prediction (months) 4 5 6 7-9 10-12 13-24 the mean survival for clinical predictions under 4 months would likely increase O no changes would be visible O the means survival for clinical predictions over 6 months would likely decrease O the mean survival for clinical predictions under 4 months would likely decrease
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