1 · The precise goal of the study or experiment · The population · Your expected sample size · How you will go about collecting your sample · Exactly what statistical computations you expect to perform (hypothesis, null hypothesis, alternative hypothesis, type I and II error, significance level, critical value, P-value, etc. · How you will present your results to the reader · Itemized expected cost for your study in terms of time and money Childhood Obesity among Pittsburgh School Students, Ages 6-12 Years The hypothesis of if schools served healthier food and gave the children more time to eat as well as having more chances to be active, like recess and physical education, then child hood obesity rates would decrease drastically. This study will investigate effects of teaching obese children better habits of eating and exercise and improved habits and self-esteem. The children for the study will be drawn from the general school population (ages 6 to 12). Students (n = 20) will receive a brief intervention regarding nutrition, activity, and snacking. Students will serve as their own control. Each participant will be pre- and post-tested regarding eating behavior, activity, snacking behavior, and levels of self-esteem. The hypothesis will be tested through the application of quantitative analysis (one-way ANOVA) to the data collected (Dotsch, Kokocinski, Knerr, Rascher, Rascher & Weigel, 2008). The goal of this proposal is to study the prevalence of obesity among school children 6-12 years old in Pittsburgh Public Schools, and to identify any variation as per age, gender, place of residence, and type of school. Obesity is usually defined as more than 20 percent above ideal weight for a particular height and age ("Obesity,"). This proposal is addressed to meet the needs of children who have become obese due to environmental factors. If we can alter a few key and relatively simple areas in the lives of individuals, reinforce this within the schools and community, and re-evaluate the messages being sent in our culture, American school children will soon see an end to an excessive weight gain. The results of this survey are important for the development of evidence-based practice guidelines and the overall process will have an impact on the clinical practice, research and dietetic policy. School children between 6-12 years old will be sampled using stratified random sampling (SRS) with cumulative population proportionate from each school (cluster) of four districts. A total of 20 clusters will be selected by systematic sampling. The clusters spread out geographically by schools, and then the sample starts at a random cluster and then takes every 10th cluster in the list. First, take a separate SRS in each stratum to allow separate conclusions about each stratum. Then, a stratified sample will have a smaller margin of error than an SRS of the same size. Data will be analyzed using Body Mass Index (BMI- CDC) calculator and/or a .