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The main contents of psychological and educational statistics
Descriptive statistics: frequency distribution tables and graphs; Various statistics; Inference statistics: overall parameter estimation and hypothesis testing; Experimental design: subjects, sampling, design, control and result analysis; The role of psychological and educational statistics; Important scientific methods; An effective tool for quantitative analysis; Several basic concepts of psychology and educational statistics.

descriptive statistics

Descriptive statistics: frequency distribution tables and graphs; Various statistics.

inferential statistics

Overall parameter estimation and hypothesis testing.

experiment design

Experimental design: subjects, sampling, design, control and result analysis.

The role of psychology and educational statistics

The role of psychology and educational statistics.

Important scientific methods

Important scientific methods.

An effective tool for quantitative analysis

An effective tool for quantitative analysis.

random phenomenon

Random phenomenon: refers to a phenomenon with the following three characteristics: an experiment has many possible results, all of which are known; It is impossible to predict what kind of results will appear before the test; This test can be repeated under the same conditions.

random event

Random events: Every result of random phenomena is called a random event.

stochastic variable

Random variable: a variable that can represent various results of random phenomena. The variables processed by statistics are all random variables.

Population, individuals, samples

Group: a collection of research objects composed of individuals with some common characteristics; Individual: each unit that constitutes the whole; Sample: select some individuals from the population as the observation object; Sample size: the number of individuals contained in the sample. n .

Statistics and parameters

Statistics: a quantity that describes various characteristics of sample data. Such as arithmetic mean, median, standard deviation, standard score, correlation coefficient, etc. Parameter: a quantity that reflects various characteristics of the overall data.