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Considering the Central Limit Theorem, we have that:
a) The probability cannot be calculated, as the underlying distribution is not normal and the sample size is less than 30.
b) The probability can be calculated, as the sample size is greater than 30.
<h3>What does the Central Limit Theorem state?</h3>It states that the sampling distribution of sample means of size n is approximately normal has standard deviation , as long as the underlying distribution is normal or the sample size is greater than 30.
In this problem, the underlying distribution is skewed right, that is, not normal, hence:
- For item a, the probability cannot be calculated, as the underlying distribution is not normal and the sample size is less than 30.
- For item b, the probability can be calculated, as the sample size is greater than 30.
More can be learned about the Central Limit Theorem at brainly.com/question/16695444
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For this case we have the following function:
Where,
A0: initial population
K: rate of change
t: time in years
Substituting values we have:
For the year 2015 we have:
Answer:
the predicted population in 2015 is:
19,807
Where,
A0: initial population
K: rate of change
t: time in years
Substituting values we have:
For the year 2015 we have:
Answer:
the predicted population in 2015 is:
19,807