A. All of the members of the PTA.
Answer:Convenience sampling
Step-by-step explanation:
This type of sample refers to convenience sampling or grab sampling or accidental sampling.
Convenience sampling is a non-probability type sampling that includes the population which is nearby or available in your zone.
This type of sampling is handy when you need to know about a particular data in less time .Although the result may be somewhat biased because of a certain type of population may exist close to you.This method is most useful for Pilot testing.
Answer:
The mean of the sampling distribution for the sample proportion when taking samples of size 500 from this population is equal to 0.248.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes 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 
Of the 500 people sampled, 124 said that they would be interested in purchasing season tickets to a Six Flags in Ames.
This means that 
The mean of the sampling distribution for the sample proportion when taking samples of size 500 from this population is equal to
By the Central Limit Theorem, it is equal to the sample proportion of 0.248.
The next ten numbers will be 20,18,36,34,68,66,132,130,260,258. Hope this helps.
y = 5x
and x = y/5
you can then put any value for x and y and it will make sense