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Answer :
Using the Central Limit Theorem, it is found that the correct option regarding whether the conditions for inference are met is:
Yes, the conditions for inference are met.
What is the condition for inference by the Central Limit Theorem?
By the Central Limit Theorem, for a proportion p in a sample of size n, the sampling distribution of sample proportion is approximately normal with mean [tex]\mu = p[/tex] and standard deviation [tex]s = \sqrt{\frac{p(1 - p)}{n}}[/tex], as long as [tex]np \geq 10[/tex] and [tex]n(1 - p) \geq 10[/tex], that is, there are at least 10 failures and 10 successes in each sample.
In this problem, for each of the two samples, there are at least 10 failures and 10 successes, that is, the conditions are met, hence the correct option is:
Yes, the conditions for inference are met.
More can be learned about the Central Limit Theorem at https://brainly.com/question/24663213
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