Problem: YouTube is collecting Search Engine optimization Data. In other words, YouTube needs to determine the average amount of ad time a visitor is willing to view (defined in minutes and seconds) before utilizing the skip ad preference. YouTube has identified an anomaly in the SEO data. Reports from Boston Big Data report that the average Millennial (18-34 years old) will only withstand an average of 3.27 minutes of advertising before skipping all advertisements. YouTube needs your assistance to make future changes. Please input the following data: (Hint: Do not make changes to any other fixed Excel data) . Number of samples = 12 Sample size=9 Population standard deviation=1 Z value = 3 or 99.73% Mean 3.33 3.31 3.31 Sample Data Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 Sample 9 Sample 10 Sample 11 Sample 12 3.33 3.31 3.33 3.33 2.99 3.31 3.12 3.31 3.31 1. What is your mean? (Round all data to two decimal points) 2. What is the Upper Control Limit? 3. What is the Lower Control Limit? 4. Is there any outlier data? What does this reveal about our sample? 5. What conclusions can you make about the former findings? Do we have instances of viewers who are willing to withstand less and/or more advertising