Life expectancy at birth increased from 60 to 65 years. This indicates: MCQ with Answer and Explanation

Life expectancy at birth increased from 60 to 65 years. This indicates:
A. A newborn today is expected to live 5 years longer on average than a newborn in the past, assuming current mortality rates
B. Everyone will live 5 years longer
C. Mortality has decreased only for the elderly
D. The oldest person will live to 65
Answer: Option A
Solution (By JKExamLibrary)
Life expectancy is a period measure reflecting current mortality conditions; an increase means improved survival across ages, raising the average projected lifespan for new births under present rates.

This question belongs to: Accountancy and Statistics Statistics

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Practice More Statistics Questions

Question #1 Report Error
For mutually exclusive events A and B with P(A)=0.4, P(B)=0.3, P(A∪B) is:
A. 0.12
B. 0.7
C. 0.58
D. 0.1

Correct Answer: Option B


Explanation:
Since A and B are mutually exclusive, P(A∪B) = P(A) + P(B) = 0.7.

This question belongs to: Accountancy and Statistics Statistics
Question #2 Report Error
Gross Reproduction Rate (GRR) of 1.0 means that, on average, each woman has:
A. One daughter
B. Two children
C. One child
D. One son

Correct Answer: Option A


Explanation:
GRR counts only female births; GRR=1.0 indicates each woman has exactly one daughter on average, suggesting potential replacement of the female population if mortality is ignored.

This question belongs to: Accountancy and Statistics Statistics
Question #3 Report Error
In a factory, machines A, B, and C produce 30%, 45%, and 25% of total output, with defect rates of 2%, 3%, and 4% respectively. If a randomly selected item is defective, the probability it was produced by machine B is approximately:
A. 0.45
B. 0.43
C. 0.50
D. 0.30

Correct Answer: Option B


Explanation:
Using Bayes' theorem: P(B|Defective) = [P(Defective|B) × P(B)] / [Σ P(Defective|machine) × P(machine)] = (0.03×0.45) / (0.02×0.30 + 0.03×0.45 + 0.04×0.25) = 0.0135 / 0.0315 ≈ 0.4286 ≈ 0.43.

This question belongs to: Accountancy and Statistics Statistics