A Bland-Altman plot (differential diagram) in analytical chemistry or biomedicine is a method of data representation used in the analysis of the agreement between two different trials. It is identical to a tube of average difference Tukey, the name under which it is known in other areas, but it was popularized in the medical statistics of J. Martin Bland and Douglas G. Altman.   Compliance limits include both systematic errors (bias) and random errors (precision) and provide a useful measure to compare likely differences between different results measured using two methods. If one method is a reference method, compliance limits can be used as a measure of the total error of a measurement method (Krouwer, 2002). Suppose X1, …, X N is a sample of a population N (μ, 2) of an unknown average μ and variance 2 for N > 1. The sample average “”superline”” and the variance of the S2 sample are defined as “overline value” and “Limits_” “limits_” “_i”_i limits_” The N distribution percentile (μ, 2) is used when we could use these regression equations. to estimate the 95% compliance limits, as previously: Note that the lower and higher confidence limits of a confidence interval 100 (1 – α) % on both sides correspond to the lower and upper confidence limits of the 100 (1 – α/2) % of the upper and lower one-way confidence intervals. In order to demonstrate the potential disadvantage of approximate interval procedures between Chakraborti and Li , Bland and Altman , a simulation study was conducted to assess the coverage of their one- and two-sided confidence intervals. Although the approximate Bland and Altman interval method  in Carkeet and Goh  was studied from a different perspective, the particular method of completeness and the intent to report additional properties that had not previously been notified is included in the following assessment. The delimitation shows the theoretical correlations between the different shooting sizes in order to obtain precise confidence intervals.