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The error margin is where the alternative hypothesis is accepted.

No, the error margin is the level of confidence that the results of a statistical test are accurate. The alternative hypothesis is accepted when the test results are statistically significant, meaning that the results are unlikely to have occurred by chance.

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The error margin refers to the range of values within which the alternative hypothesis is considered valid. In statistical hypothesis testing, researchers set a predetermined significance level, usually denoted by α, to determine the threshold for accepting or rejecting the alternative hypothesis. If the obtained test statistic falls within this error margin, it leads to the acceptance of the alternative hypothesis and indicates that the observed results are statistically significant. However, if the test statistic falls outside this margin, it results in the rejection of the alternative hypothesis, suggesting that the observed differences are likely due to chance. The error margin is crucial in weighing the evidence when making statistical inferences and conclusions based on hypothesis testing.