Here are the essential concepts you must grasp in order to answer the question correctly.
Null Hypothesis (H0)
The null hypothesis is a statement that there is no effect or no difference, serving as a default position in hypothesis testing. In this case, it would state that the population mean (μ) is less than or equal to 3. It is typically denoted as H0: μ ≤ 3, and is tested against the alternative hypothesis to determine if there is enough evidence to reject it.
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Alternative Hypothesis (Ha)
The alternative hypothesis represents a statement that contradicts the null hypothesis, suggesting that there is an effect or a difference. Here, Ha: μ > 3 indicates that the population mean is greater than 3. This hypothesis is what researchers aim to support through statistical testing, often leading to a one-tailed test in this context.
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Graphical Representation of Hypotheses
Graphical representations of hypotheses help visualize the relationship between the null and alternative hypotheses. In this case, the graph would show a number line where the null hypothesis (H0) is represented by a shaded area up to 3, while the alternative hypothesis (Ha) would extend beyond this point, indicating values greater than 3. This visual aid is crucial for understanding the rejection region in hypothesis testing.
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