a. Describe in words what features most of the frequency distributions of actual survival times have in common, based on the box plots for each group. b. Describe the differences in shape of actual survival time distributions between those for 1 to 5 months predicted survival times and those for 6 to 24 months. c. Describe the trend in median actual survival time with increasing predicted number. d. The predicted survival times of terminally ill cancer patients tend to

MATLAB: An Introduction with Applications
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a. Describe in words what features most
of the frequency distributions of
actual survival times have in
common, based on the box plots for
each group.
b. Describe the differences in shape of
actual survival time distributions
between those for 1 to 5 months
predicted survival times and those for
6 to 24 months.
c. Describe the trend in median actual
survival time with increasing
predicted number.
d. The predicted survival times of
terminally ill cancer patients tend to
overestimate the medians of actual
survival times. Are the means of actual
survival times likely to be closer to,
further from, or no different from the
predicted times than the medians?
Explain.
Transcribed Image Text:a. Describe in words what features most of the frequency distributions of actual survival times have in common, based on the box plots for each group. b. Describe the differences in shape of actual survival time distributions between those for 1 to 5 months predicted survival times and those for 6 to 24 months. c. Describe the trend in median actual survival time with increasing predicted number. d. The predicted survival times of terminally ill cancer patients tend to overestimate the medians of actual survival times. Are the means of actual survival times likely to be closer to, further from, or no different from the predicted times than the medians? Explain.
19. 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 (data from Glare et al.
2003).
15
2
3
4 5 6
7-9 10-12 13-24
Clinical prediction (months)
Whitlock & Schluter, The Analysis of Biological Data, 3e
© 2020 W. H. Freeman and Company
I I|
II III ||
5.
Actual survival (months)
Transcribed Image Text:19. 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 (data from Glare et al. 2003). 15 2 3 4 5 6 7-9 10-12 13-24 Clinical prediction (months) Whitlock & Schluter, The Analysis of Biological Data, 3e © 2020 W. H. Freeman and Company I I| II III || 5. Actual survival (months)
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