Statistical ReportIntroductionAnthropometric measurements mainly concern the evaluation of a person's body composition in order to determine their nutritional status. In terms of composition, density, fat, subcutaneous fat and relative muscle mass are evaluated. These components provide valuable information about an individual's nutritional status, which is influenced by various factors including the quantity and quality of food consumed and a person's physical health. Therefore, two extreme variations occur, ranging from malnutrition to obesity. In this context, anthropometric measurements provide tacit evidence of under- or overnutrition. In this case, an assessment of the upper leg length of male and female participants is carried out which determines whether the legs are proportional in terms of growth. Proportional growth is essential as it affects strength, locomotion, and other physiological aspects. To obtain data for the study, a survey design would be implemented in which systematic sampling would be used. When using systematic sampling, a sampling frame of N1 male subjects and N2 female subjects would first be chosen. Then N1 and N2 would be divided by the respective sample sizes for male and female subjects, n1 and n2. In this way, two factors would be obtained, K1 and K2 respectively, which will represent the next subject to be selected in the sample for each sex until samples n1 and n2 are obtained. When taking upper leg length measurements, a knee gauge and steel tape measure will be used. Initially, the subject is asked to sit with the knee positioned at an angle of 900. The knee caliper is then used to mark the starting point of the measurement at the proximal edge of the patella......in the center of the paper.. ....m according to Chebychev's rule and the empirical rule. In this context, the data values ​​conform to the less stringent Chebychev rule but fail to satisfy the empirical rule. Essentially, the researcher can be 98% sure that the average upper leg length is between 37.47 cm and 40.25 cm for females and between 41.50 cm and 43.64 cm for males. At the 90% confidence level, the mean would be between 37.88 cm and 39.85 cm for females and 41.71 cm and 43.44 cm for males. References Black, K. (2009). Business Statistics: Contemporary Decision Making. John Wiley & Sons. Center for Disease Control. (2009). National Health and Nutrition Examination Survey (NHANES): Anthropometric Procedures Manual. Retrieved from http://www.cdc.gov/nchs/data/nhanes/nhanes_09_10/BodyMeasures_09.pdfLevine, D. M. (2011). Statistics for managers: using Microsoft Excel. Boston, Massachusetts: Pearson.