Answer:
By the Central Limit Theorem, it is approximately normal with mean 0.29 and standard deviation 0.0596
Explanation:
Central Limit Theorem
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean
and standard deviation
According to the U.S. Census Bureau, 29% of Americans age 25 years or older have already earned a bachelor's or more advanced degree.
This means that
You decide to randomly select 58 adults over the age of 25 to ask if they have earned at least a bachelor's degree.
This means that
Describe the sampling distribution of the proportion of respondents who have earned at least a bachelor's degree.
By the Central Limit Theorem, it is approximately normal with mean
and the standard deviation is