Answer:
The standard deviation of the sampling distribution is 0.0122 = 1.22%
Step-by-step 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
A survey asks a random sample of 1500 adults in Ohio
This means that
34% of all adults in Ohio support the increase.
This means that
The standard deviation of the sampling distribution is
The standard deviation of the sampling distribution is 0.0122 = 1.22%