m (statistical testing)

См. также в других словарях:

• Statistical conclusion validity — establishes the existence and strength of the co variation between the cause and effect variables. This type of validity involves ensuring adequate sampling procedures, appropriate statistical tests, and reliable measurement procedures.The… …   Wikipedia

• Statistical hypothesis testing — This article is about frequentist hypothesis testing which is taught in introductory statistics. For Bayesian hypothesis testing, see Bayesian inference. A statistical hypothesis test is a method of making decisions using data, whether from a… …   Wikipedia

• Statistical inference — In statistics, statistical inference is the process of drawing conclusions from data that are subject to random variation, for example, observational errors or sampling variation.[1] More substantially, the terms statistical inference,… …   Wikipedia

• Statistical significance — In statistics, a result is called statistically significant if it is unlikely to have occurred by chance. A statistically significant difference simply means there is statistical evidence that there is a difference; it does not mean the… …   Wikipedia

• Statistical ensemble (mathematical physics) — In mathematical physics, especially as introduced into statistical mechanics and thermodynamics by J. Willard Gibbs in 1878, an ensemble (also statistical ensemble or thermodynamic ensemble)cite book |last=Kittel |first=Charles… …   Wikipedia

• Statistical graphics — thumb|240px|John Snow s Cholera map in dot style, 1854.Statistical graphics, also known as graphical techniques, are information graphics in the field of statistics used to visualize quantitative data. Overview Statistics and data analysis… …   Wikipedia

• Statistical randomness — A numeric sequence is said to be statistically random when it contains no recognizable patterns or regularities; sequences such as the results of an ideal die roll, or the digits of π exhibit statistical randomness.Statistical randomness does not …   Wikipedia

• Testing hypotheses suggested by the data — In statistics, hypotheses suggested by the data must be tested differently from hypotheses formed independently of the data.How to do it wrongFor example, suppose fifty different researchers, unaware of each other s work, run clinical trials to… …   Wikipedia

• Statistical Significance — A result that is not likely to occur randomly, but rather is likely to be attributable to a specific cause. Statistical significance can be strong or weak, and is important to research in many math and science related fields, including medicine,… …   Investment dictionary

• Statistical dispersion — In statistics, statistical dispersion (also called statistical variability or variation) is variability or spread in a variable or a probability distribution. Common examples of measures of statistical dispersion are the variance, standard… …   Wikipedia

• Statistical power — The power of a statistical test is the probability that the test will reject a false null hypothesis (that it will not make a Type II error). As power increases, the chances of a Type II error decrease. The probability of a Type II error is… …   Wikipedia