这种统计解释是用来解释一般数据特征的。通过对统计中两项基本措施的说明，进一步导致对资料的总结。这类统计数据的一个例子是集中趋势测量和分散测量(英国健康调查2012)。集中趋势测度进一步构成均值、媒介和模式。Mean表示数据集的平均大池(Health survey for England 2012)。Media演示了大数据集的平均值，mode提供了大数据集的重复值。色散测量还有助于解释距离、偏差和任何变化的存在。肥胖在英国的人口群体中日益受到关注。BMI或身体质量指数被认为是创造和批评肥胖发生率的最佳方式(2012年英国健康调查)。所选择的数据库利用BMI来估计肥胖，以及大多数超重个体描述的与身体活动和饮食(如不做任何运动或吃大量垃圾食品)的关系。为了计算BMI，将体重除以身高的两倍。根据比例估计，数据集描述了英国人仅在1年内体重增加的相对规模(Health ata glance 2013)。
Such statistical interpretations are used for explaining the general data features. It further leads towards summarizing the information through explanation on 2 essential measures in statistics. An example of such statistics are central tendency measures and dispersion measures (Health survey for England 2012). The central tendency measure further constitutes mean, media and modes. Mean implies average large pool of dataset (Health survey for England 2012). Media illustrates large data sets average value and mode provides large dataset repeated values. Dispersion measures furthermore help in explaining about range, deviation and presence of any variation. Obesity is a growing concern among the population groups in UK. BMI or Body Mass Index is regarded as the best way by which obesity incidences can be created and critiqued (Health survey for England 2012). The selected database utilizes BMI to estimate obesity and the relationship that most overweight individuals depict with physical activity and diet (such as not doing any exercise or eating a lot of junk food). In order to calculate BMI, weight along with double times the height is divided. Depending upon the ratio estimate, the data set described the comparative scale of weight enhancement in people in UK over a period of 1 year only (Health at a glance 2013).
The measurements of weight from BMI helped to offer recommendations along with revealing the mistake that most individuals commit regarding diet and inadequate physical activity (Health survey for England 2013). The data sets were divided over 6 chapters wherein Chapter 2 to 6 covered overweight, physical activity performed along with the diet by maintaining important links to every statistics section. The last chapter described data sets related to health outcomes presenting wide range of data on obesity health outcomes which is inclusive of health risks, admission in health institutes and drugs prescription applied for treating obesity condition (Health survey for England 2012). The data sets were distributed only over a period of 1 year along with a comparison with the data sets in 2006 to 2007. For example, data sets revealed that in 2013, few men compared to women were consuming the recommended fruit portions and vegetables. Same proportion of girls and boys also engaged in consuming more than 5 portions every day. Furthermore of importance were the data sets regarding finished admission episodes in National health care institutes with obesity as primary diagnosis for approximately 9325 hospitals.