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 3. The null 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 not equal to 3, which implies that it could be either less than or greater than 3. This hypothesis is what researchers aim to support through statistical testing.
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Graphical Representation of Hypotheses
Graphical representations of hypotheses, such as the one provided, visually depict the regions of acceptance and rejection for the null hypothesis. In this case, the graph shows a critical region on either side of the mean value of 3, indicating where the null hypothesis would be rejected if the sample mean falls outside this range. Understanding these graphs is crucial for interpreting the results of hypothesis tests.
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