statistics(redirected from morbidity statistics)
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Statistics are facts consisting of numbers, obtained from analysing information.
When statistics is used with this meaning, it is a plural noun. You use the plural form of a verb with it.
Statistics is also the branch of mathematics dealing with these facts.
When you use statistics with this meaning, it is an uncountable noun. You use a singular form of a verb with it.
Don't use 'statistic' as an adjective to mean 'relating to statistics'. Use statistical.
|Noun||1.||statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters|
sampling - (statistics) the selection of a suitable sample for study
distribution, statistical distribution - (statistics) an arrangement of values of a variable showing their observed or theoretical frequency of occurrence
centile, percentile - (statistics) any of the 99 numbered points that divide an ordered set of scores into 100 parts each of which contains one-hundredth of the total
decile - (statistics) any of nine points that divided a distribution of ranked scores into equal intervals where each interval contains one-tenth of the scores
quartile - (statistics) any of three points that divide an ordered distribution into four parts each containing one quarter of the scores
cross section - a sample meant to be representative of a whole population
grab sample - a single sample or measurement taken at a specific time or over as short a period as feasible
random sample - a sample grabbed at random
experimental variable, independent variable - (statistics) a variable whose values are independent of changes in the values of other variables
degree of freedom - (statistics) an unrestricted variable in a frequency distribution
dependent variable - (statistics) a variable in a logical or mathematical expression whose value depends on the independent variable; "if f(x)=y, y is the dependent variable"
predictor variable - a variable that can be used to predict the value of another variable (as in statistical regression)
Bernoulli's law, law of large numbers - (statistics) law stating that a large number of items taken at random from a population will (on the average) have the population statistics
Bayes' theorem - (statistics) a theorem describing how the conditional probability of a set of possible causes for a given observed event can be computed from knowledge of the probability of each cause and the conditional probability of the outcome of each cause
Bayes' postulate - (statistics) the difficulty of applying Bayes' theorem is that the probabilities of the different causes are seldom known, in which case it may be postulated that they are all equal (sometimes known as postulating the equidistribution of ignorance)
applied math, applied mathematics - the branches of mathematics that are involved in the study of the physical or biological or sociological world
statistical method, statistical procedure - a method of analyzing or representing statistical data; a procedure for calculating a statistic
least squares, method of least squares - a method of fitting a curve to data points so as to minimize the sum of the squares of the distances of the points from the curve
multivariate analysis - a generic term for any statistical technique used to analyze data from more than one variable
statistic - a datum that can be represented numerically
average, norm - a statistic describing the location of a distribution; "it set the norm for American homes"
demographic - a statistic characterizing human populations (or segments of human populations broken down by age or sex or income etc.)
deviation - the difference between an observed value and the expected value of a variable or function
moment - the n-th moment of a distribution is the expected value of the n-th power of the deviations from a fixed value
distribution free statistic, nonparametric statistic - a statistic computed without knowledge of the form or the parameters of the distribution from which observations are drawn
parametric statistic - any statistic computed by procedures that assume the data were drawn from a particular distribution
outlier - an extreme deviation from the mean
mean deviation, mean deviation from the mean - the arithmetic mean of the absolute values of deviations from the mean of a distribution
mean, mean value - an average of n numbers computed by adding some function of the numbers and dividing by some function of n
arithmetic mean, expected value, first moment, expectation - the sum of the values of a random variable divided by the number of values
geometric mean - the mean of n numbers expressed as the n-th root of their product
harmonic mean - the mean of n numbers expressed as the reciprocal of the arithmetic mean of the reciprocals of the numbers
second moment - the expected value of the square of the deviations of a random variable from the point of origin
variance - the second moment around the mean; the expected value of the square of the deviations of a random variable from its mean value
standard deviation - the square root of the variance
covariance - (statistics) the mean value of the product of the deviations of two variates from their respective means
"There are three kinds of lies: lies, damned lies, and statistics" [Benjamin Disraeli]
"He uses statistics like a drunken man uses lamp-posts - for support rather than illumination" [Andrew Lang]