two-sided statistic

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• Two-tailed test — The two tailed test is a statistical test used in inference, in which a given statistical hypothesis, H0 (the null hypothesis), will be rejected when the value of the test statistic is either sufficiently small or sufficiently large. This… …   Wikipedia

• two-tailed test — a hypothesis test (q.v.) in which the critical region comprises both tails of the distribution of the test statistic and the null hypothesis is tested against a two sided alternative that includes deviation from the null hypothesis in both… …   Medical dictionary

• P-value — In statistical significance testing, the p value is the probability of obtaining a test statistic at least as extreme as the one that was actually observed, assuming that the null hypothesis is true. One often rejects the null hypothesis when the …   Wikipedia

• Resampling (statistics) — In statistics, resampling is any of a variety of methods for doing one of the following: # Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknife) or drawing randomly with… …   Wikipedia

• Student's t-test — /tee test /, Statistics. a test for determining whether or not an observed sample mean differs significantly from a hypothetical normal population mean. [1945 50; see STUDENT S T DISTRIBUTION] * * * ▪ statistics       in statistics, a method of… …   Universalium

• McNemar's test — In statistics, McNemar s test is a non parametric method used on nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal… …   Wikipedia

• Student's t-distribution — Probability distribution name =Student s t type =density pdf cdf parameters = u > 0 degrees of freedom (real) support =x in ( infty; +infty)! pdf =frac{Gamma(frac{ u+1}{2})} {sqrt{ upi},Gamma(frac{ u}{2})} left(1+frac{x^2}{ u} ight)^{ (frac{… …   Wikipedia

• Ordinary least squares — This article is about the statistical properties of unweighted linear regression analysis. For more general regression analysis, see regression analysis. For linear regression on a single variable, see simple linear regression. For the… …   Wikipedia

• Grubbs' test for outliers — Many statistical techniques are sensitive to the presence of outliers. For example, simple calculations of the mean and standard deviation may be distorted by a single grossly inaccurate data point.Checking for outliers should be a routine part… …   Wikipedia

• Kolmogorov-Smirnov test — In statistics, the Kolmogorov ndash;Smirnov test (also called the K S test for brevity) is a form of minimum distance estimation used as a nonparametric test of equality of one dimensional probability distributions used to compare a sample with a …   Wikipedia

• Completeness (statistics) — In statistics, completeness is a property of a statistic in relation to a model for a set of observed data. In essence, it is a condition which ensures that the parameters of the probability distribution representing the model can all be… …   Wikipedia