statistical inference

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statistical inference

[stə′tis·tə·kəl ′in·frəns]
(statistics)
The process of reaching conclusions concerning a population upon the basis of random samplings.

statistical inference

see PROBABILITY, STATISTICS.
References in periodicals archive ?
It is the premise of this article that inferential statistics was never appropriate for general appraisal work but doubly so today as complete data sets are available in most developed areas.
In summary, the p-value is an acceptable inferential statistic to test hypotheses in clinical trial research.
Inferential statistics for frequencies of post operative nausea, vomiting and need for anti-emetics are shown in Table 2.
A sample size of 50 is commonly considered the minimum number of patients required for testing associations;[sup.8] therefore the current sample size of twice that is believed to be sufficient to support the use of inferential statistics.
Almost one hundred years ago he almost single-handedly founded the science of inferential statistics. He also coined the term 'statistical confounder'.
If any inferential statistics (statistics that allow us to make judgments about or to generalize the population from our sample) have been completed in the study, they are included next.
The confidence limits and probabilities are inferential statistics that help you make a probabilistic decision about the magnitude of the true effect (Hopkins et al., 2009).
The focus on the teaching of statistical inference at the graduate level is relevant as the concepts and methods of Inferential Statistics play a vital role in designing and interpreting empirical results in any scientific discipline.
He laments that introductory statistical texts increasingly emphasize inferential statistics to the exclusion of descriptive statistics, the traditional domain of social scientists.
Data were analyzed using an interpretive approach, using descriptive and inferential statistics to analyze the quantitative data.
Chapter 8-12 cover topics on descriptive and inferential statistics which are taught to MBA students as part of the core paper on Business Statistics.
Apart from descriptive statistics to represent the data, the author also uses inferential statistics to model causes and effects of migration.