Final answer:
The shape and justification of the sampling distribution of p₁ - p2 is approximately normal because of the central limit theorem.
Step-by-step explanation:
The correct shape and justification of the sampling distribution of p₁ - p2 is b) Approximately normal because the expected numbers of successes and failures for each sample are all at least 10.
When we have random samples with enough successes and failures within each sample, the sampling distribution of the difference in sample proportions will be approximately normal. This is because the central limit theorem states that as the sample size increases, the distribution of the sample proportions approaches a normal distribution.