Conclusion How does the test decision relate to the hypothesis, and are your conclusions statistically significant? The analysis aimed to test whether the salesperson’s average cost per house is above the region’s average in order to validate or refute the claim in the research. The analysis indicates the p-value, which is the test statistic, is less than the level of significance selected for the analysis (p=0.05). Since the decision rule was an upper-tail, we accept the null hypothesis and conclude that the salesperson’s average cost per square foot price is equal to the Pacific region average. This implies that the average cost per square foot of his home sales is not $275, as the advertisement claims. Therefore, it is recommended to review the model used to arrive at the value of $275 and correct the biasedness before publishing the advertisement. References Salkind, N. (2015). Excel Statistics: A Quick Guide. Third Edition. SAGE Publications. Turner, D. P. (2020). Sampling Metho

Conclusion How does the test decision relate to the hypothesis, and are your conclusions statistically significant? The analysis aimed to test whether the salesperson’s average cost per house is above the region’s average in order to validate or refute the claim in the research. The analysis indicates the p-value, which is the test statistic, is less than the level of significance selected for the analysis (p=0.05). Since the decision rule was an upper-tail, we accept the null hypothesis and conclude that the salesperson’s average cost per square foot price is equal to the Pacific region average. This implies that the average cost per square foot of his home sales is not $275, as the advertisement claims. Therefore, it is recommended to review the model used to arrive at the value of $275 and correct the biasedness before publishing the advertisement. References Salkind, N. (2015). Excel Statistics: A Quick Guide. Third Edition. SAGE Publications. Turner, D. P. (2020). Sampling Metho

Test Decision: Discuss the relationship between the p-value and the significance level, including a comparison between the two, and decide whether to reject or fail to reject the null hypothesis.

Discuss how the p-value relates to the significance level.

Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.

Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.

Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.

Guidelines for Submission

Submit the completed Module Five Assignment Template as a Word document that includes your response and supportive charts.

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