To solve this problem, we need to calculate the z-score and then use a z-table to find the corresponding probability.
The z-score formula is given by:
z = (x - μ) / σ
where:
- x is the value we want to find the probability for (in this case, 65)
- μ is the mean (average) life expectancy in Africa (53)
- σ is the standard deviation (7.5)
Plugging in the values:
z = (65 - 53) / 7.5
z = 12 / 7.5
z = 1.6
Next, we use a z-table or a calculator to find the cumulative probability for a z-score of 1.6. The cumulative probability (P) is the probability that a randomly selected person in Africa will die before the age of 65.
From the z-table or calculator, we find that the cumulative probability for a z-score of 1.6 is approximately 0.9452 or 94.52%.
Therefore, the correct answer is 94.52%.
A recent study found that the average life expectancy of a person living in Africa is 53 years with a standard deviation of 7.5 years. If a person in Africa is selected at random, what is the probability that the person will die before the age of 65?
94.52%
82.89%
94.95%
88.49%
1 answer