数据处理英文版解读.ppt

实验设计与数据处理Experimental Design and Data Processing 组长：白宇超 组员：董妍芸 柳耀博 庞士磊 邓丽君 张健榕 吴 波 Data Processing 数据处理分析是指用适当的统计方法对收集来的大量第一手资料和第二手资料进行分析，以求最大化地开发数据资料的功能，发挥数据的作用。是为了提取有用信息和形成结论而对数据加以详细研究和概括总结的过程。数据也称观测值，是实验、测量、观察、调查等的结果，常以数量的形式给出。 Aim Data processing analysis refers to the use of appropriate statistical methods to collect a large number of first-hand information and second-hand information for analysis, in order to maximize the development of data functions, data play a role. Is to extract useful information and form a conclusion to the data to conduct a detailed study and summary of the process. Data, also known as observations, is the experiment, measurement, observation, investigation and other results, often given in the form of quantity. Data processing methods Many methods of data processing: parameter estimation, hypothesis testing, analysis of variance and regression analysis. Parameter estimation is to estimate some data points and interval estimates; Hypothesis test is to determine the reliability of the results of various data processing; analysis of variance is the impact of various factors on the impact of indicators of the degree of significance; regression analysis is how to get things reflect Mathematical expression of objective law. Number of significant digits The more digits after the decimal point, the more accurate the data? (How to determine the effective number of data?) Correct approach: the number of bits taken in addition to the last one figure for the measurement of the suspicious number or estimate, the rest of the figures are accurate and reliable. Significant digits: All numbers in a measurement that reflect the size of the measured value with a questionable number (estimated reading). 。 Rounding rule A set of values to retain n-bit effective, in accordance with the round-off method on the n +1 bit processing, will have rounding error. In general, the first n + 1 digits for the 0,1,2,3,4,5,6,7,8,9 probability is