descriptive statistics


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Related to descriptive statistics: Inferential statistics

de·scrip·tive sta·tis·tics

numeric values such as mean, median, and mode that describe the chief features of a group of scores, without regard to a larger population.

descriptive statistics

statistics that measure and describe characteristics of groups without drawing inferences about the population in general.

de·scrip·tive sta·tis·tics

(dĕ-skriptiv stă-tistiks)
Numeric values (e.g., mean, median, mode) that describe chief features of a group of scores, without regard to a larger population.

de·scrip·tive sta·tis·tics

(dĕ-skriptiv stă-tistiks)
Data deductively derived from nonparametric measures.

descriptive statistics

References in periodicals archive ?
Table 4 Descriptive statistics of students' responses to prefer synchronous or asynchronous e-learning resources enrolled in different programs of study
In descriptive statistics of the bank's physical appearance is visually appealing where N is the sample size which is 350 and minimum is 4 which is agree and the maximum is 5 which is strongly agree and mean is 4.
Presented paper tried to clarify the present confusion and using descriptive statistics results exposed the most important topics from lean that must be addressed in companies for effective lean implementation.
In Table 2, the descriptive statistics of the quarterly means show an average annual rent change of 2.
30 Table 2 Descriptive Statistics & T Test Results by Country of Origin U.
New sections on what tests and descriptive statistics to choose, false discovery rate, interim analysis, bootstrapping, Bland-Altman plots, Markov chain Monte Carlo (MCMC), and Deming regression.
He covers descriptive statistics, non-parametric statistics: chi square, the t-test, the one-way (simple) analysis of variation (ANOVA), and the factorial (or two-way) ANOVA.
Descriptive statistics employed via Statistical Package for Social Sciences (SPSS) version 22.
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.
The mathematical and reasoning sophistication increases as the chapters proceed from a long introduction and review of biological modeling, through calculus, differential equations, dimensionless variables, descriptive statistics, standard discrete and continuous models using difference and differential equations, matrix algebra, probability, statistics, and stochastic processes.
Data Analysis Descriptive statistics were computed for responses to the survey items.