descriptive statistics वाक्य
उदाहरण वाक्य
मोबाइल
- A few years ago, I identified sufficient parameters to prepare close to 300 cross-tables to allow descriptive statistics which could be analysed.
- After using multiple tests, analyses, and descriptive statistics, the study suggested residents grew to become more patient, tolerant, and friendly towards newcomers.
- Descriptive statistics is solely concerned with properties of the observed data, and does not assume that the data came from a larger population.
- In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis ( EDA ), and confirmatory data analysis ( CDA ).
- Anscombe's quartet is a made-up dataset that exemplifies the shortcomings of simple descriptive statistics ( and the value of data plotting before numerical analysis ).
- The notion of weighted mean plays a role in descriptive statistics and also occurs in a more general form in several other areas of mathematics.
- In a more technical language, the OR is a measure of effect size, describing the strength of descriptive statistic, and plays an important role in logistic regression.
- It said they used descriptive statistics to determine the failure rate within first year of use . talk ) 03 : 41, 22 September 2014 ( UTC)
- A user saw a spreadsheet of his or her data, comprising columns that could be integers, long integers, real numbers, menus to choose descriptive statistics or inferential statistics.
- The above information is how sum of squares is used in descriptive statistics; see the article on total sum of squares for an application of this broad principle to inferential statistics.
- 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.
- 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 ).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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