心理统计学重点分析(Key analysis of psychological statistics).docVIP

心理统计学重点分析(Key analysis of psychological statistics).doc

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心理统计学重点分析(Key analysis of psychological statistics)

心理统计学重点分析(Key analysis of psychological statistics) Key analysis of psychological statistics I. descriptive statistics (I) statistical chart 1) statistical graphs Frequency distribution diagram: Histogram: a graph that represents the continuity of the number of variables in the area of a matrix. Frequency polygon diagram: a linear graph showing the distribution of the number of continuous random variables, belonging to the frequency distribution diagram. Cumulative frequency distribution diagram: divided into: cumulative histogram and cumulative curve; The cumulative curve shape about three kinds: one is the curve of the branch is longer than the lower branches (normal), the other one is longer than the upper branch branches (negative skewness), the third is on the branches, branches length (normal distribution). Other statistics: bar charts: for discrete data; Circular chart: for discontinuous data; Line chart: more for continuous data, where the pre function of the relationship between the two variables, at the time of the trend or describe a phenomenon, or a phenomenon with the change of another phenomenon, in this way better. Scatter plot: 2) statistical table Simple frequency distribution table Grouping frequency distribution table Table of relative frequency distribution: the actual number of each group in the frequency distribution table is transformed into relative frequency, that is to say, the frequency ratio is used. Cumulative frequency distribution table Double row number distribution table: the same table is used to express the number of related two variables. (two) concentration quantity; 1) arithmetic mean M The advantages of sensitive reaction; strict calculation; simple calculation; simple and easy; suitable for further use algebraic methods of calculus; less influenced by the change of sampling; Disadvantages: affected by extreme data; unable to compute averages if ambiguous data appear; The principle of calculating and applying the mean: the prin

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