in descriptive statistics, there are two computational algorithms for determining the variance s2, of a set of observations : algorithm 1: s2= - , algorithm 2: s2= , where . it is interesting to discuss, which of the above formulas is numerically more trustworthy in machine numbers sets. i this paper, based on total effect of rounding error, we prove that the second algorithm is better than ...

medicine had never been error free. medical society has responsibility to reduce the rate of medical errors and should respect to people and patients rights in the case of error occurrence to maintain their trust. waiver of cause of medical errors, what is of importance is recognizing the ethical duty of physician toward her patient in the case of error commitment. in this paper at the first, t...

Understanding data variability and potential error sources is essential to a full understanding of experimental science. We propose a typology of error that considers not only the nature of the error, but also the phase in the experiment in which it occurs. We looked at secondand fourth-grade children’s understanding of error, their use of evidence in guiding this understanding, and the role of...

When assessing the performance of an internal quality control system, it is useful to determine the probability for false rejections (pfr) and the probability for error detection (ped). These performance characteristics are estimated here by use of a computer stimulation procedure. The control rules studied include those commonly employed with Shewhart-type control charts, a cumulative sum rule...

Quantum holonomic gates hold built-in resilience to local noises and provide a promising approach for implementing fault-tolerant quantum computation. We propose realize high-fidelity $(N+1)$-qubit controlled using Rydberg atoms confined in optical arrays or superconducting circuits. identify the scheme, deduce effective multibody Hamiltonian, determine working condition of multiqubit gate. Uni...

Self-reported measures of dietary intake are prone to measurement error that may obscure the relationship of diet and disease. This review addresses strategies to decrease errors during collection of dietary data and statistical approaches to deal with measurement issues once the data are collected.  Examples from two US studies-- the Women’s Health Initiative (WHI) Dietary Modificat...