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 that indicates no change from a known value. In this case, it would state that the population mean (μ) is less than or equal to 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, 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 illustrate the critical region for the alternative hypothesis (Ha: μ > 3) on the right side of the number line, indicating where we would reject the null hypothesis. Understanding how to sketch these graphs is crucial for interpreting statistical results.
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