Comparing the relationship between the p-value and the significance level, we find that

the p-value (0.00040326) is much smaller than the significance level (0.05). This suggests that the

probability of observing a test statistic as extreme as -3.3642, or even more extreme, under the null

hypothesis is extremely low. Therefore, we have strong evidence to reject the null hypothesis.

Based on this conclusion, we can confidently reject the null hypothesis in favor of the

alternative hypothesis. The salesperson's claim that the average cost per square foot in the Pacific

region is less than $280, supported by the newly designed advertisement, is substantiated by the

analysis. The evidence suggests that the advertisement has resulted in a statistically significant

decrease in the average cost per square foot in the Pacific region.

re write this paragraph