statistics

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statistics

  1. methods of collecting and analysing numerical data.
  2. a group of data.

    Businesspeople make considerable use of statistical methods such as collecting SAMPLES in order to make STATISTICAL INFERENCES in such areas as MARKETING RESEARCH and QUALITY CONTROL. They also use government economic data in monitoring changes in the business environment.

statistics

  1. a branch of mathematics that studies the theory and methods of collecting, tabulating and analysing numerical data.
  2. a grouping of data. Economic analysis makes extensive use of economic data, which are subjected to statistical analysis in order to test ECONOMIC THEORIES. See HYPOTHESIS TESTING, ECONOMETRICS.
References in periodicals archive ?
The goodness-of-fit chi-square test is one of the most widely used statistical tools in genetics.
71% of interventional studies (Pearson chi-square test P<0.
The chi-square test for gender and perceived barriers to attaining career goals was significant ([chi square] = 116.
The chi-square test for heterogeneity showed significant differences in the more abundant prey taxa found in the large (n = 14) and small (n = 14) size classes for salamanders (chi-square = 17.
The authors thus accept the null hypothesis that GDP growth does not cause export growth, confirming the previous result of the chi-square test.
In the next section we discuss methods for testing the null hypothesis, and propose an adjusted chi-square test for use when the variance is bigger than the Poisson variance.
The significance of association between peg lateral incisors with of PDC was analyzed with the chi-square test.
Beginning with descriptive statistics then moving to inferential statistics, they consider such topics as describing data with tables and graphs, regression, sampling distribution of the mean, analysis of variance, and chi-square test for qualitative (nominal) data.
This study conducted a descriptive-exploratory census of 110 LGI (1862, 1890, and 1994) and their association to community engagement using chi-square test of association, modified semantic differential, document analysis, and "An Engaged-Learning Map (ELM) for Education, Learning, and Engagement.
For the purpose of analysis, weighted mean, percentages and chi-square test were applied.