Data Trends for Obesity Rates and the use of Descriptive Statistics

Discussion | Data Trends for Obesity Rates and the use of Descriptive Statistics Review Review the following videos, readings, and other resources assigned during this week to respond to the prompts below. 1. Prevention of Overweight and Obesity: How Effective is the Current Public Health Approach (opens in new window) 2. The Epidemiology of Obesity (opens in new window) 3. Statistics: Standard Deviation | Descriptive Statistics | Probability and Statistics (00:13:06) (opens in new window) Descriptive statistics are used to summarize data. Learn about the different kinds of descriptive statistics, the ways in which they differ from inferential statistics, how they are calculated and more. 1. Imagine that you are interested in measuring how many people in a population are obese or overweight. A common way that obesity is tracked in the population is with body mass index (BMI). Your boss provides you with a data set of 12 study participants BMIs and asks you to calculate the basic descriptive statistics. The BMI are 28, 40, 23, 34, 35, 18, 24, 35, 21, 22, 38 and 19. Your boss asks you for a summary of your findings. 2. Calculate the mode, mean, standard deviation, variance, range, and outliers; and report whether these data are normally distributed. Review the video for information about descriptive statistics. Respond 1. Discuss how these BMI findings may impact your community today or might in the future and observe any trends or issues with these data. 2. Discuss how your culture, faith, and other interpersonal factors impact your thinking about this issue. 3. Review your thinking about obesity and consider how these data and articles changed your thoughts about obesity in America. Discuss Respond to the initial prompt with a substantive post by the first deadline Discussion Requirements Initial Posts: 250-300 words Reference at least 2 scholarly resources o APA formatted references in po COURSE REQUIRED TEXTBOOKS and RESOURCES ________________________________________ Merrill, R. M. (2013). Fundamentals of epidemiology and biostatistics. Jones & Bartlett Learning.External tool Stroh, D. P. (2015). Systems thinking for social change: A practical guide to solving complex problems, avoiding unintended consequences, and achieving lasting results. White River Junction, VT: Chelsea Green Publishing. Mauffette-Leenders, L. A., Erskine, J. A., & Leenders, M. R. (2007). Learning with cases. London, Ontario: Richard Ivey School of Business.