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Random Samples of College Degree Proportions In Exercise P.162, we see that the distribution of sample proportions of US adults with a college degree for random samples of size \(n=500\) is \(N(0.325,0.021) .\) How often will such samples have a proportion, \(\hat{p},\) that is more than \(0.35 ?\)

Short Answer

Expert verified
The proportion of samples with a proportion greater than \(0.35\) is approximately \(11.7\%.\)

Step by step solution

01

Standardize The Value

First, transform the sample proportion that we are interested in, \(0.35\), into a z-score using the following formula: \(z = (0.35 - 0.325) / 0.021 = 1.19\).
02

Find The Probability

Next, we want to find the area to the right of this z-score on the normal curve, which represents the probability of getting a sample proportion greater than \(0.35\) or \(z=1.19\). We can use a z-table or software to find that this area is \(0.117\). Therefore, the probability our sample proportion is greater than \(0.35\) is \(0.117\) or \(11.7%\)
03

Interpret The Results

The result tells us that about \(11.7\%\) of the time, a random sample of 500 U.S. adults will have a proportion of adults with a college degree that is greater than \(0.35\) or \(35%\).

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