A survey of the 12th grade students at Gaffigan High School found that 84% of the seniors have their driver’s licenses, 16% of s
1 answer:
The probability that a senior takes the bus to school every day, given that he or she has a driver’s license is 17%.
<h3>What is Probability?</h3>Probability helps us to know the chances of an event occurring.
As per the rule of conditional probability, the probability that a senior takes the bus to school every day, given that he or she has a driver’s license can be written as,
P(Have License | Takes school bus)
= (Probability the seniors have driver’s licenses and take the bus to school every day) / (Probability of Having a licenses)
= 0.14 / 0.84
= 0.16667 ≈ 17%
Hence, the probability that a senior takes the bus to school every day, given that he or she has a driver’s license is 17%.
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Using the z-distribution, we have that:
a) A sample of 601 is needed.
b) A sample of 93 is needed.
c) A. Yes, using the additional survey information from part (b) dramatically reduces the sample size.
In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of
, we have the following confidence interval of proportions.
In which z is the z-score that has a p-value of .
The margin of error is:
95% confidence level, hence, z is the value of Z that has a p-value of
, so
.
For this problem, we consider that we want it to be within 4%.
Item a:
- The sample size is <u>n for which M = 0.04.</u>
- There is no estimate, hence
Rounding up:
A sample of 601 is needed.
Item b:
The estimate is , hence:
Rounding up:
A sample of 93 is needed.
Item c:
The closer the estimate is to , the larger the sample size needed, hence, the correct option is A.
For more on the z-distribution, you can check brainly.com/question/25404151