average

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Related to Measures of central tendency: standard deviation, measures of dispersion
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Synonyms for average

Synonyms for average

something, as a type, number, quantity, or degree, that represents a midpoint between extremes on a scale of valuation

Synonyms for average

a statistic describing the location of a distribution

(sports) the ratio of successful performances to opportunities

an intermediate scale value regarded as normal or usual

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amount to or come to an average, without loss or gain

achieve or reach on average

approximating the statistical norm or average or expected value

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lacking special distinction, rank, or status

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lacking exceptional quality or ability

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around the middle of a scale of evaluation

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relating to or constituting the most frequent value in a distribution

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relating to or constituting the middle value of an ordered set of values (or the average of the middle two in a set with an even number of values)

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References in periodicals archive ?
responded to Terri's post by agreeing with her thought that the teaching of measures of central tendency should go beyond mere computation.
The information about levels of measurement is used to determine which measures of central tendency can appropriately be used to describe a distribution.
In this case, different measures of central tendency may differ in level, but they will all change by the same percentage and will therefore show the same index value relative to a base year.
West, "Standard Measures of Central Tendency for Censored Earnings Data from the Current Population Survey," a BLS statistical note, available from the Office of Research and Evaluation, Bureau of Labor Statistics.
He gives basic terminology and concepts such as scales of measurement and variables, then launches into a range of methods displaying data, measures of central tendency and variability, normal distribution, basic concepts of probability, sampling distributions and hypothesis testing, correlation, regression, multiple regression, power, the various analyses of variance, the chi-square, nonparametric and distribution-free statistical tests, and a very handy set of instructions on choosing the appropriate analysis.
He works through statistical parameters in terms of the measures of central tendency and variation, standard scores, the z distribution, hypothesis testing, inferential statistics, including baloney detection, correlation and regression, the t test for independent and dependent groups, analysis of variance for a variety of situations, functional analysis of variance, nonparametric statistics and other statistical parameters and tests.
The authors cover measures of central tendency, correlation, regression, chi square test of significance, analysis of variance, group comparisons, and split block design.