The table provides data on Developed and Developing countries regarding whether their economies grew, declined, or remained stagnant over the period 2020 – 2023. Calculate various... The table provides data on Developed and Developing countries regarding whether their economies grew, declined, or remained stagnant over the period 2020 – 2023. Calculate various probabilities based on the provided data.
Understand the Problem
The question involves interpreting a probability distribution scenario based on provided data regarding developed and developing countries. It asks about various probabilities related to those categories, requiring probability calculations and understanding of concepts like mutual exclusivity.
Answer
$0.857$
Answer for screen readers
The probability that a randomly selected country is developed is $0.857$.
Steps to Solve
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Interpreting the Data
From the table, we identify the total number of developed and developing countries:
- Developed: 30
- Developing: 5
Total countries = $30 + 5 = 35$.
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Calculating Developed Probability
To find the probability that a randomly selected country is developed: $$ P(\text{Developed}) = \frac{\text{Number of Developed Countries}}{\text{Total Countries}} = \frac{30}{35} = 0.857 $$
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Calculating Economy Growth Probability
Next, we find the probability of the economy growing among all countries: $$ P(\text{Grew}) = \frac{\text{Total Grew}}{\text{Total Countries}} = \frac{30}{35} = 0.857 $$
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Probability of Development Status
To find the probability that a country is either developed or its economy grew: This involves considering both probabilities without overlap.
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Application of Conditional Probability
If we focus on a specific condition (developed and grew), then: $$ P(\text{Developed and Grew}) = P(\text{Grew} \mid \text{Developed}) = \frac{10}{30} = 0.333 $$
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Understanding Mutual Exclusivity
Events are mutually exclusive if they cannot occur at the same time. Since a country cannot both “grew” and “remained stagnant,” they are mutually exclusive.
The probability that a randomly selected country is developed is $0.857$.
More Information
This probability indicates a strong likelihood that a randomly chosen country from the sample is developed, based on the provided data.
Tips
- Mistaking the total number of countries; ensure you count both developed and developing.
- Overlapping probabilities incorrectly; remember to add or multiply based on whether events are exclusive or independent.
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