# 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.

Collins Dictionary of Business, 3rd ed. © 2002, 2005 C Pass, B Lowes, A Pendleton, L Chadwick, D O’Reilly and M Afferson

## 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.
Collins Dictionary of Economics, 4th ed. © C. Pass, B. Lowes, L. Davies 2005
References in periodicals archive ?
Two other nonparametric statistics of Huehn (1979), [S.sup.(3).sub.i] and [S.sup.(6).sub.i] combine yield and stability based on yield ranks of genotypes in each environment.
The best point estimate of MV has now changed, depending upon how it is measured (traditional parametric statistics [mean], traditional nonparametric statistics [median], or simple averages), as the following shows: Traditional Parametric Statistics Mean: \$1,663,045 Standard deviation: \$161,678 Traditional Nonparametric Statistics Upper quartile: \$1,953,925 Median: \$1,644,704 Lower quartile: \$1,523,028 Simple Averages High-range average: \$1,871,689 Most likely range: \$1,661,270 Low-range average: \$1,460,513
Particularly helpful are the lucid discussions regarding key assumptions or common errors made in the use of different statistical procedures, and the appropriate use of P values, confidence intervals, power, transformations, and nonparametric statistics. Readers will also greatly appreciate the valuable series of flow charts that can be used to relate research questions to statistical methods, the excellent glossary of biostatistical and epidemiologic terms, the suggested practical exercises, and the recommended readings list.
It covers descriptive statistics, inferential statistics, statistical procedures focused on sample means and variance, and correlational and nonparametric statistics, with examples in each chapter, instructions for using SPSS (Statistical Package for the Social Sciences), and other learning resources.
Schick, "A covariate-matched estimator of the error variance in nonparametric regression," Journal of Nonparametric Statistics, vol.
ERIC Descriptors: Observation; Research Methodology; Test Bias; Regression (Statistics); Nonparametric Statistics; Scoring; Test Items; Simulation; Models; Correlation; Reliability
They cover organizing data, averages and variation, elementary probability theory, the binomial probability distribution and related topics, normal curves and sampling, estimation, hypothesis testing, correlation and regression, chi-square and F distributions, and nonparametric statistics.
Chapters are in sections on the nature of data and statistics, analysis of variance, regression and correlation, and nonparametric statistics. This third edition contains new material on growth curve analysis, testing for equivalence and noninferiority, and getting started with SPSS.
The MoM values were illustrated in a box-and-whisker plot, and the comparisons across generated groups was performed with nonparametric statistics.

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