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If a claim is in the null hypothesis and we reject the null hypothesis, then the conclusion would be
the sample data support the original claim.
there is sufficient evidence to warrant rejection of the original claim.
there is not sufficient evidence to warrant rejection of the original claim.
there is not sufficient sample evidence to support the original claim.
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Step 1 ：The question is asking about the conclusion we can draw if a claim is in the null hypothesis and we reject the null hypothesis. This is a theoretical question about statistical hypothesis testing, and does not require any calculations to answer.

Step 2 ：In hypothesis testing, the null hypothesis is a general statement or default position that there is no relationship between two measured phenomena, or no association among groups.

Step 3 ：If we reject the null hypothesis, it means that we believe there is enough evidence in our data to support the alternative hypothesis, which is typically the hypothesis that we are trying to provide evidence for.

Step 4 ：Therefore, if a claim is in the null hypothesis and we reject the null hypothesis, it means that we believe there is enough evidence to reject the original claim.

Step 5 ：\[\boxed{\text{Final Answer: The correct answer is 'there is sufficient evidence to warrant rejection of the original claim'.}}\]