Justify the appropriateness of conditions for the sampling distribution for the difference between two sample proportions.
- When sampling without replacement, two conditions must be met:
- i. The randomization condition—the data should be collected using two independent random samples.
- ii. The 10% condition—the size of each sample should be less than or equal to 10% of the respective population size: n11 10%N and n22 10%N , where N is the size of population 1 and 1 N2 is the size of population 2. The sample sizes are represented as n1 and n2.
- If the data come from an experiment, the data only need to meet the randomization condition. The treatments must be randomly assigned to the experimental units to meet the randomization condition.
- The sampling distribution for the difference between sample proportions, p 12 p , will have an approximately normal distribution provided both s ample sizes are large enough. To ensure that both samples are large enough, the data must meet the following conditions: n11p 10, n22 1 p 10, n11 11 p 0, n22p 10, and where n11p and n22p are the expected numb n2 1 p2 er of successes and n11 1 p and are the expected number of failures.