These ad agencies must focus on their target audience, which are the students. Hence, they should gather data on the pool that will surely comprise of students. For agency B, social media posting is not a good source pool. It's true that students are very participative and opinionated in social media. However, they can't be sure that these are students. Some parents are in social media, as well. Some are working individuals, and some are out of school youth. Unlike agency A, agency B has to sort out profiles first and identify which ones are students. Hence, agency A will produce a fair sample of the student population because it is unarguably true that everyone in the school enrollment data are students.
The answer is B.
The proportion of employees in entry-level positions at the company who earn at least $ 42,000 will be 0.48466.
<h3>What is a normal distribution?</h3>
The Gaussian distribution is another name for it. The most significant continuous probability distribution is this one. Because the curve resembles a bell, it is also known as a bell curve.
According to a recent survey, the salaries of entry-level positions at a large company have a mean of $ 41,750 and a standard deviation of $ 6500.
Assuming that the salaries of these entry-level positions are normally distributed.
Then the proportion of employees in entry-level positions at the company who earn at least $ 42,000 will be
The z-score is given as
z = (x - μ) / σ
Then we have
z = (42000 - 41750) / 6500
z = 0.03846
Then we have
P(x ≥ 42000) = P(z ≥ 0.03846)
P(x ≥ 42000) = 1 - P(z < 0.03846)
P(x ≥ 42000) = 1 - 0.51534
P(x ≥ 42000) = 0.48466
More about the normal distribution link is given below.
brainly.com/question/12421652
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First, we need to convert 0.75 feet to inches.
0.75 feet = 9 inches
Now, we need to divide 9 by how many hours are in a day, which is 24.
9/24 = 0.375
The raindrop vine can grow up to 0.375 inches per hour.