Any of a very large number of tests and comparisons that can be made with data to determine the likelihood that outcomes from various treatments or conditions did not happen by chance alone. The degree to which you can be confident that your results differ from chance is the degree to which you can be confident that the applied treatment is responsible for the results. These treatments or conditions could involve studies of the effectiveness of medications, school performance, Biology and physical science research, psychological and social/psychological research... In effect any treatment where you can set up a controlled experiment to obtain measurable results, and where you can compare your results against a properly constructed random model of the same parameters.
Some procedures:
Correlation coefficients
t-tests
Analysis of Variance (with many variations)
Regression
I would broaden this answer. The above definition is limited to inferential statistical procedures, specifically those that endorse a process of null hypothesis significance testing. ANYTHING that deals with data could be considered a statistical procedure (this includes collecting, graphing, describing, and reporting data, in addition to making inferences, testing for effects and estimating effect sizes -- such as the correlation example given above). (Additionally, there are even more variants to regression than there are to ANOVA.) Although the earlier definition properly captures the most traditional aspects of statistical procedures as applied to psychology.
Diagnostic and Statistical Manual of Mental Disorders
Diagnostic and Statistical Manual of Mental Disorders
Statistical
It is unreliable in the statistical sense.
Biomedical therapy relies on drugs and medical procedures.
Xiao-hua Zhou has written: 'Statistical methods in diagnostic medicine' -- subject(s): Statistical methods, Diagnostic Techniques and Procedures, Medicine, Medical statistics, Statistical Data Interpretation, Research 'Statistical methods in diagnostic medicine' -- subject(s): Statistical methods, Diagnostic Techniques and Procedures, Medicine, Medical statistics, Statistical Data Interpretation, Research
descriptive statistics
Make objective decisions about the validity of the hypotheses.
David Sheskin has written: 'Handbook of parametric and nonparametric statistical procedures' -- subject(s): Mathematical statistics, Handbooks, manuals 'Handbook of parametric and nonparametric statistical procedures' -- subject(s): Mathematical statistics, Handbooks, manuals, etc, Handbooks, manuals
James Mathew Arrison has written: 'Procedures and statistical methodology of model validation'
Accurate coding ensures correct payment / reimbursement from third party payers, as well as systematizing diseases and procedures to allow for statistical and epidemiological studies.
Chang-chung Li has written: 'A comparison of efficiency and robustness for lower tolerance limit procedures' -- subject(s): Statistical tolerance regions
A statistical organisation does comparing probability.A statistical organisation does comparing probability.A statistical organisation does comparing probability.A statistical organisation does comparing probability.
Albert R Stage has written: 'Statistical procedures for disaggregation applicable to modeling climatic effects on forest growth' -- subject(s): Statistics, Forests and forestry
An analysis shows that the risk of loss is less than the cost of examining every voucher at the approved threshold.
Edward A. McBean has written: 'Solid waste landfill engineering and design' -- subject(s): Sanitary landfills, Design and construction 'Statistical procedures for analysis of environmental monitoring data and risk assessment' -- subject(s): Statistical methods, Environmental risk assessment, Environmental quality, Environmental monitoring
Statistical inference occurs when