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, and it serves as the default assumption in hypothesis testing. In this case, it would state that the population mean (μ) is equal to or greater than 3 (H0: μ ≥ 3). This hypothesis 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, indicating the presence of an effect or a difference. Here, Ha: μ < 3 suggests that the population mean is less than 3. This hypothesis is what researchers aim to support through statistical testing, often leading to a rejection of the null hypothesis if sufficient evidence is found.
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Graphical Representation of Hypotheses
Graphical representations of hypotheses, such as number lines, help visualize the null and alternative hypotheses. In this context, the graph for Ha: μ < 3 would show a shaded area to the left of 3, indicating the values where the alternative hypothesis holds true. Understanding how to sketch these graphs is crucial for interpreting the results of hypothesis tests.
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