SPSS统计数据分析(五)贝唐统计数据量✦

SPSS Statistical Analysis (5) Preliminary Knowledge of Statistics

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SPSS(五).mp32:15
源自LearningYard辅仁

叙述性统计数据量是指表达式某个特点的统计数据量,SPSS提供更多的基本上统计数据量大体能分成3类:叙述分散态势的统计数据量、叙述对数某种程度的统计数据量和叙述整体原产型态的统计数据量。

Descriptive statistics refer to the statistics of a certain feature of a variable. The basic statistics provided by SPSS can be roughly divided into three categories: statistics describing the central tendency, statistics describing the degree of dispersion, and statistics describing the overall distribution pattern.

叙述分散态势的统计数据量✦

statistics describing the central tendency

其中,分散态势是指一组数据向某个中心值靠拢的倾向与某种程度,那么计算叙述分散态势的统计数据量就是要找到能够反映数据一般水平的代表值或者是中心值。常用的分散态势统计数据量包括均值、中位数、众数、总和及百分位数等。

Among them, the central tendency refers to the tendency and degree of a set of data to move towards a certain central value, then the calculation of the statistics describing the central tendency is to find a representative value or central value that can reflect the general level of the data. Commonly used central tendency statistics include mean, median, mode, sum, and percentiles.

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叙述对数某种程度的统计数据量✦

statistics describing the degree of dispersion

对数某种程度是指一组数据远离其中心值的某种程度,统计数据学中叙述对数某种程度的统计数据量是样本值远离分散态势统计数据量某种程度的定量化叙述,比较重要的叙述对数某种程度的统计数据量有样本方差、样本标准差、均值标准误差、极差等。

The degree of dispersion refers to the degree to which a set of data is far away from its "central value". The statistic describing the degree of dispersion in statistics is a quantitative description of the degree to which the sample value is far away from the central tendency statistic. The more important statistics describing the degree of dispersion have samples. Variance, sample standard deviation, mean standard error, range, etc.

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叙述数据原产型态的统计数据量 ✦

statistics describing the overall distribution pattern

分散态势和对数某种程度是数据原产的重要特点,但要从整体上全面把握样本数据的原产,仅有分散态势和对数某种程度统计数据量是不够的,还要掌握数据原产的型态,例如直方图的对称性、偏斜某种程度以及陡缓某种程度等。叙述数据原产型态的统计数据量主要有偏度和峰度两种。

Central tendency and degree of dispersion are important characteristics of data distribution, but to fully grasp the distribution of sample data as a whole, only the statistics of central tendency and degree of dispersion are not enough, but also the shape of data distribution, such as the symmetry of histogram , the degree of skewness, and the degree of steepness. There are two main types of statistics that describe the shape of data distribution: skewness and kurtosis.

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参考资料:百度百科,《SPSS 23统计数据分析实用教程》

翻译:谷歌翻译

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