The data acquired for quantitative marketing research can be analysed by almost any of the range of techniques of statistical analysis, which can be broadly divided into descriptive statistics and statistical inference.
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Using both a graphical user interface and command line interface, it can perform all sorts of analyses including descriptive statistics and a range of inferential tests ( both parametric and nonparametric ).
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Analyse-it provides a range of standard parametric and non-parametric procedures, including Descriptive statistics, ANOVA, Mann Whitney, Wilcoxon, chi-square, correlation, linear regression, logistic regression, polynomial regression and advanced model fitting, principal component analysis, and factor analysis.
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NMath Stats can be used for descriptive statistics, linear regression, ANOVA, probably distributions, hypothesis tests, principal component analysis, cluster analysis, nonnegative matrix factorization ( NMF ), partial least squares ( PLS ) and Savitzky-Golay smoothing.
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When the median is used as a location parameter in descriptive statistics, there are several choices for a measure of variability : the range, the interquartile range, the mean absolute deviation, and the median absolute deviation.
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Considerations of the shape of a distribution arise in statistical data analysis, where simple quantitative descriptive statistics and plotting techniques such as histograms can lead on to the selection of a particular family of distributions for modelling purposes.
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These trimmed midranges are also of interest as descriptive statistics or as L-estimators of central location or skewness : differences of midsummaries, such as midhinge minus the median, give measures of skewness at different points in the tail.
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The MEPSnet Query Tools interactive table builder allows non-statisticians to select a data year and medical variable ( s ) of interest, and produce descriptive statistics and crosstabulations of Household Component and Insurance Component data from the AHRQ website.
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The Lite version features descriptive statistics, hypothesis testing ( t-tests, logistic and nonlinear regression, principal component analysis and multidimensional scaling, time series, power / sample-size, factorial design ), more types of graph, word processing functions and options for formatting of results.
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A typical business statistics course is intended for business majors, and covers statistical study, descriptive statistics ( collection, description, analysis, and summary of data ), probability, and the binomial and normal distributions, test of hypotheses and confidence intervals, linear regression, and correlation.
