SPSS统计数据分析（五）贝唐统计数据量✦

SPSS Statistical Analysis (5) Preliminary Knowledge of Statistics SPSS（五）.mp32:15

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.

statistics describing the central tendency

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. statistics describing the degree of dispersion

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. statistics describing the overall distribution pattern

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. 