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我整理的统计学复习题(I organize my review questions).doc

发布:2017-07-23约1万字共11页下载文档
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我整理的统计学复习题(I organize my review questions) I am finishing the statistical review questions.Txt I this person never, generally have revenge on the spot I quote. Theres nothing to do. Dont look for me! Even believe has a lie in the middle! I like you so much, you like me will die ah? Im not RMB, how can everyone like me? A conceptual analysis Descriptive statistics: the theory and method of gathering, collating, analyzing, and providing statistical data. It includes collecting data, arranging data and analyzing data. The purpose is to describe data characteristics and find out the basic rules of data Inferential statistics: techniques and methods that infer the general characteristics only on the basis of sample data, including parameter estimation and hypothesis testing, with the aim of inferring the overall characteristics. The relationship between the two: descriptive statistics is the premise of inferential statistics, inferential statistics is the development of descriptive statistics. Descriptive statistics and inferential statistics all reflect the quantity regularity in the whole body Typical investigation: on the basis of comprehensive analysis, the typical representative units should be chosen for on-the-spot investigation. Sampling: sampling the population by random principle. Based on the sample index (Statistics), the hypothesis that the sampling parameter can be calculated and controlled in advance is used to infer the overall parameters or the overall population. Connection: Median: one of the measured values of the central tendency, the position average, and the median value after sorting. Not affected by extreme values, used primarily for ordinal data or numerical data, but not for class data. Mode: one of the measure of central tendency, is the location of the average number of variable values, not affected by extreme values, there may be no mode or several modes, mainly used for data can also be used for sequencing data and numerical data Variance:
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