Asked by Neisha Bethly on May 25, 2024
Verified
Statistics Canada gives the following mortality data for Canada in 2011. Cause of Death Percent Cancer 29.9 Heart disease 19.7 Stroke 5.5 Respiratory diseases 4.6 Accidents 4.4\begin{array} { l | c } { \text { Cause of Death } } & \text { Percent } \\\hline \text { Cancer } & 29.9 \\\text { Heart disease } & 19.7 \\\text { Stroke } & 5.5 \\\text { Respiratory diseases } & 4.6 \\\text { Accidents } & 4.4\end{array} Cause of Death Cancer Heart disease Stroke Respiratory diseases Accidents Percent 29.919.75.54.64.4 Is it reasonable to conclude that cancer or accidents were the cause of approximately 34.3% of deaths in 2011?
A) No,because the percentages do not add up to 100%.
B) Yes,because these categories do not overlap.
C) Yes,because the percentages can always be added in relative frequency tables.
D) No,because the percentages in relative frequencies tables can never be added.
E) No,because these categories overlap.
Mortality Data
Information and statistics related to death rates within a population over a specified period.
Canada
A country located in the northern part of North America, known for its vast landscapes, multicultural diversity, and as the second-largest country by land area in the world.
Deaths
The termination of all biological functions that sustain a living organism.
- Evaluate statistical evidence to formulate valid inferences.
Verified Answer
MC
Montessia CaradineMay 27, 2024
Final Answer :
B
Explanation :
Cancer and accidents are separate categories, and therefore their percentages do not overlap. It is reasonable to conclude that the sum of their percentages represents the proportion of deaths due to these causes, which is 34.3%. The fact that the percentages do not add up to 100% is not relevant to this conclusion. Option C is also correct, but option B is more precise in explaining why it is reasonable to add the percentages of cancer and accidents. Options A, D, and E are incorrect.
Learning Objectives
- Evaluate statistical evidence to formulate valid inferences.
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