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| Standard Deviation of the mean |
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| The probability of rejecting the null hypothesis when the null is true |
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| if the sum of the variables has a finite variance, then it will be approximately normal |
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| the ability to reject the null hypothesis when the null is in fact false |
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| 2 sample variances provided that the samples are independently drawn from 2 normal populations with equal variances |
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| In statistics, dispersion (also called variability, scatter, or spread) denotes how stretched or squeezed a distribution (theoretical or that underlying a statistical sample) is. Common examples of measures of statistical dispersion are the variance, standard deviation and interquartile range. |
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| the probability distribution for all given values of a given sample statistic |
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| the error of failing to reject a false null hypothesis |
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| used as test for independence/homogeneity between 2 categorical variables |
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| a single-step multiple comparison procedure and statistical test. It can be used on raw data or in conjunction with an ANOVA (Post-hoc analysis) to find means that are significantly different from each other. |
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| method of least squares is a standard approach in regression analysis to the approximate solution of overdetermined systems, i.e., sets of equations in which there are more equations than unknowns. "Least squares" means that the overall solution minimizes the sum of the squares of the errors made in the results of every single equation. |
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| The probability that an event occurs if some condition is met |
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| a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space if these events occur with a known average rate and independently of the time since the last event. |
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| distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. |
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| statistical measurement of a score's relationship to the mean in a group of scores. A Z-score of 0 means the score is the same as the mean. A Z-score can also be positive or negative, indicating whether it is above or below the mean and by how many standard deviations. |
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| is a statistical test used to determine if there are nonrandom associations between two categorical variables on a contingency table when counts are small |
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| is used to investigate the relationship between two continuous variables |
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| the variability of residuals around the regression line is |
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| The basic tenet of a meta-analysis is that there is a common truth behind all conceptually similar scientific studies, but which has been measured with a certain error within individual studies. The aim in meta-analysis then is to use approaches from statistics to derive a pooled estimate closest to the unknown common truth based on how this error is perceived. |
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