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The probability that the sample proportion is within ± 0.02 of the population proportion is 0.3328
<h3>How to determine the probability?</h3>The given parameters are:
- Sample size, n = 100
- Population proportion, p = 82%
Start by calculating the mean:
Calculate the standard deviation:
Within ± 0.02 of the population proportion are:
Calculate the z-scores at these points using:
So, we have:
The probability is then represented as:
P(x ± 0.02) = P(-0.43 < z < 0.43)
Using the z table of probabilities, we have:
P(x ± 0.02) = 0.3328
Hence, the probability that the sample proportion is within ± 0.02 of the population proportion is 0.3328
Read more about probability at:
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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