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Answer :
Final answer:
The null hypothesis (H0) for this problem is H0: μ ≤ 82, suggesting the new training method does not improve the dolphins' performance or makes it worse. On the other hand, the alternative hypothesis (HA) is HA: μ > 82, suggesting that the new training method improves the dolphins' skill in identifying underwater explosive devices.
Explanation:
In hypothesis testing, the null hypothesis (H0) represents a statement of no effect or no difference, while the alternative hypothesis (HA) is what you might believe to be true or hope to prove true.
Given your claim that dolphins trained under your new method will correctly identify more targets than the current standard of 82, the correct statements of the null and alternative hypotheses are: H0: μ ≤ 82 and HA: μ > 82. Here, μ denotes the mean score of correctly identified targets.
In simpler terms, the null hypothesis (H0) is that the new training method results in a mean score of correctly identified targets that is less than or equal to the existing standard (82), and the alternative hypothesis (HA) is that the new training method leads to a mean score that is greater than the existing standard.
Learn more about Hypothesis Testing here:
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