Final answer:
When we observe an outcome in the red, 'rejection region,' it means that we would want to reject the null hypothesis.
Step-by-step explanation:
When we observe an outcome in the red, 'rejection region,' it means that the data obtained from the sample is unlikely to have occurred under the assumption of the null hypothesis being true. In hypothesis testing, we set a significance level, denoted as alpha (a), which is the probability of making a Type I error (rejecting the null hypothesis when it is true). If the p-value (the probability of observing a test statistic as extreme as, or more extreme than, the one obtained from the sample) is less than alpha, we reject the null hypothesis. Therefore, if we observe an outcome in the red, 'rejection region,' we would want to reject the null hypothesis.