This paper reports the prevalence of obesity in the US based on World Health Organization’s (WHO) classification of obesity. It also reports the prevalence of individuals in the general population who use dietary modifications and/or exercise to lose weight. The main objective of this paper is to assess the relationship between obesity status, HRQL, dietary modifications, and exercise…Responses to the HRQL questions were used as dependent variables…by dichotomizing the number of reported days with poor physical health…into ≤ 14 days and > 14 days.” (Hassan et al., 2003, pp. 1227-1228) The odds ratios that result from the logistic regression defined in part (a) are: Nonoverweight: Reference Overweight: 1.08 (0.99-1.17) Obese: 1.21 (1.09-1.33)
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
- “This paper reports the prevalence of obesity in the US based on World Health Organization’s (WHO) classification of obesity. It also reports the prevalence of individuals in the general population who use dietary modifications and/or exercise to lose weight. The main objective of this paper is to assess the relationship between obesity status, HRQL, dietary modifications, and exercise…Responses to the HRQL questions were used as dependent variables…by dichotomizing the number of reported days with poor physical health…into ≤ 14 days and > 14 days.” (Hassan et al., 2003, pp. 1227-1228)
- The odds ratios that result from the logistic regression defined in part (a) are:
Nonoverweight: Reference
Overweight: 1.08 (0.99-1.17)
Obese: 1.21 (1.09-1.33)
Severely Obese: 1.87 (1.64-2.12)
Provide a conclusion. Be sure to include a discussion of statistical inference.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
