Hypothesis testing compares a "null hypothesis" (no effect) to an "alternative hypothesis" (an effect exists) and determines the likelihood of observing the data if the null hypothesis is true to determine if sample data supports a claim about a larger population. Hypothesis tests are used to test population claims or theories using sample data. Additionally, they are used to determine whether a group difference is statistically significant and not just a random fluctuation. One-tailed tests look for a one-way effect, while two-tailed tests look for a significant difference in either direction. In retail, I tried to market a new product. The target was 20% sales growth from the prior quarter. We collected sales data from the previous and current quarters first. We then conducted a two-tailed test to evaluate the chance of rejecting the null hypothesis (no sales rise) or accepting the alternative hypothesis. The test showed a considerable sales rise. We used the hypothesis test results to support our decision to keep this new product, improve performance, and plan future marketing efforts. On the above statement what important points can I bring out that would be supportive also, what clear and concise feedback that I can give my classmate, to bring out more constructive feedback academically and provide a conclusion of her findings. Please be clear and concise, Provide references in a ADA format. Give a 350 detailed response