Answer :
There should be three conditions that a sampling distribution as approximately Normal:
random condition
10% condition
large counts condition
What is sample?
A sample is a smaller set of data which an observer chooses or selects from a larger population using a pre-defined selection method. These data are known as sample points, sampling units, or observations.
To treat the sampling distribution as approximately normal there should be three rules. The list is given below.
1.Randomization Condition: The sample should be a simple random sample of the population.
2.10% Condition: If sampling has not been made with replacement, then the sample size, n, must be no larger than 10% of the population.
3.Success or Failure Condition: The sample size has to be big enough so that both np and nq are at least 10.
Hence, there should be three conditions:
random condition
10% condition
large counts condition.
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