Analyzing Daily Screen Time Your Mission: Investigate Digital Habits Here’s data representing daily screen time in minutes for 150 college students over one week:

Upload as PDF” Analyzing Daily Screen Time Your Mission: Investigate Digital Habits Here’s data representing daily screen time in minutes for 150 college students over one week: Daily Screen Time (minutes): 245, 312, 189, 456, 234, 567, 123, 345, 278, 401, 289, 356, 234, 189, 456, 512, 234, 345, 167, 289, 378, 234, 456, 189, 345, 234, 567, 234, 189, 345, 401, 289, 234, 456, 312, 234, 189, 345, 456, 234, 289, 378, 456, 234, 312, 189, 234, 456, 345, 289, 512, 234, 189, 345, 456, 234, 289, 378, 234, 456, 189, 345, 234, 456, 289, 234, 512, 345, 189, 234, 456, 378, 234, 189, 345, 456, 234, 289, 456, 234, 312, 189, 456, 234, 345, 289, 234, 456, 189, 378, 234, 456, 289, 234, 345, 189, 456, 234, 512, 289, 234, 456, 345, 234, 189, 456, 289, 234, 378, 456, 234, 189, 345, 456, 234, 289, 456, 234, 312, 345, 234, 456, 189, 234, 456, 289, 234, 512, 345, 234, 456, 189, 234, 456, 345, 234, 289, 456, 234, 378, 189, 456, 234, 345, 289, 234, 456, 189, 234, 567 1. Build a full frequency table (10 classes, min lower class = 100, class width = 50) 2. Create a histogram (link: https://www.socscistatistics.com/descriptive/histograms/) 3. Create a Bar Chart- https://www.vizionary.net/customize_chart-( divide your data in four: low (first two classes), moderate(next 3 classes), high (3 classes) and very high(last two classes) screentime) 4. Calculate mean, median and sample standard deviation (https://openomnia.com/mean-median-variance-sd) 1. What does the shape of the histogram tell you about student screen time habits? 2. Is the mean or median a better representation of “typical” screen time? Why? 3. What percentage of students exceed 6 hours (360 minutes) daily? 4. How does the standard deviation help us understand the diversity in screen time habits? 5. If you were designing a digital wellness program, which group would you target first and why?