英文定量分析课术语
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Analytic view
Definition of probability in terms of analysis of possible outcomes.
Array
The set ofYvalues associated with a givenX, or the set ofXvalues associated with a givenY.
There are several other glossaries on the web. I particularly like the one compiled by Keith Dear at.au/nceph/surfstat/surfstat-home/glossary/glossary.htmland the one compiled by Valerie J. Eastman and John H McColl athttp://www /steps/glossary/
Bonferronitest
A multiple comparison procedure in which thefamilywiseerror rate is divided by the number of comparisons.
Box-and-whisker plot
A graphical representation of the dispersion of a sample.
Censored data
Data that have been categorized into two or more groups on the basis of a cutoff score on some criterion variable. Often a consideration in logistic regression.
Combinatorics
The branch of mathematics dealing with the number of different ways objects can be selected or arranged.
Cowith constant variances on the main diagonal of a matrix, and constantcovariancesoff the main diagonal.
Bivariate normal model
A regression model in which bothXandYare subject to random error.
Bonferroniinequality
An inequality on which theBonferronetest is based. It states that the probability of the occurrence of one or more events can never exceed the sum of their individual probabilities.
Chi-square distribution
The distribution of the chi-square (c2) statistic.
Chi-square test
A statistical test often used for analyzing categorical data.
Coefficient of variation (CV)
Aoutcome with one of two mutually exclusive outcomes--such as pass/fail.
b(Beta)
The probability of a Type II error.
Betweensubjectsdesigns
Designs in which different subjects serve under the different treatment levels.
Bimodal
A distribution having two distinct peaks.
Binomial distribution
The distribution in which each of a number of independent trials results in one of two mutually exclusive outcomes.
Boxplot
A graphical representation of the dispersion of a sample.
Carryover effect
The effect of previous trials (conditions) on a subject's performance on subsequent trials.
Categorical data
Data representing counts or number of observations in each category.
Cell
The combination of a particular row and column; the set of observations obtained under identical treatment conditions.
Alpha (a)
The probability of a Type I error.
Abscissa
Horizontal axis.
Additive law of probability
The rule giving the probability of the occurrence of one or more mutually exclusive events.
Centering
The process of converting data to deviation scores.
Central limit theorem
The theorem that specifies the nature of the sampling distribution of the mean.
Adjacent values
Actual data pointsthat areno more extreme than the inner fences.
Adjusted correlation (radj)
A correction to the computed correlation coefficient to adjust for the number of predictors relative to the sample size.
Backward elimination
A stepwise regression procedure in which we start with all predictors andthemeliminate those that do not contribute significantly or up to some predetermined standard.
Alternative hypothesis (H1)
The hypothesis that is adopted when H0is rejected. Usually the same as the research hypothesis.
Analysis of variance (ANOVA)
Adjusted means
Means that have been adjusted for differences on a covariate.
All subsets regression
The result of a stepwise multiple regression when the program chooses that set of variables that has the best correlation with thecritierion.
A statistical technique for testing for differences in the means of several groups.
Analysis of covariance
An analysis of variance in which the data are adjusted (or controlled) for the presence of one or more other variables.
Column totals
The total number of observations occurring in a column of a contingency table.
Combinations
The number of ways objects can be selected without regard to order.
I would appreciate any additions, corrections, and clarification that are appropriate.
2 X 5 factorial design
A factorial design with one variable having two levels and the other having five levels.
Asymmetric relationships
Log-linear models where at least one variable is treated as an independent variable and at least one variable is treated as a dependent variable.
Definition of probability in terms of analysis of possible outcomes.
Array
The set ofYvalues associated with a givenX, or the set ofXvalues associated with a givenY.
There are several other glossaries on the web. I particularly like the one compiled by Keith Dear at.au/nceph/surfstat/surfstat-home/glossary/glossary.htmland the one compiled by Valerie J. Eastman and John H McColl athttp://www /steps/glossary/
Bonferronitest
A multiple comparison procedure in which thefamilywiseerror rate is divided by the number of comparisons.
Box-and-whisker plot
A graphical representation of the dispersion of a sample.
Censored data
Data that have been categorized into two or more groups on the basis of a cutoff score on some criterion variable. Often a consideration in logistic regression.
Combinatorics
The branch of mathematics dealing with the number of different ways objects can be selected or arranged.
Cowith constant variances on the main diagonal of a matrix, and constantcovariancesoff the main diagonal.
Bivariate normal model
A regression model in which bothXandYare subject to random error.
Bonferroniinequality
An inequality on which theBonferronetest is based. It states that the probability of the occurrence of one or more events can never exceed the sum of their individual probabilities.
Chi-square distribution
The distribution of the chi-square (c2) statistic.
Chi-square test
A statistical test often used for analyzing categorical data.
Coefficient of variation (CV)
Aoutcome with one of two mutually exclusive outcomes--such as pass/fail.
b(Beta)
The probability of a Type II error.
Betweensubjectsdesigns
Designs in which different subjects serve under the different treatment levels.
Bimodal
A distribution having two distinct peaks.
Binomial distribution
The distribution in which each of a number of independent trials results in one of two mutually exclusive outcomes.
Boxplot
A graphical representation of the dispersion of a sample.
Carryover effect
The effect of previous trials (conditions) on a subject's performance on subsequent trials.
Categorical data
Data representing counts or number of observations in each category.
Cell
The combination of a particular row and column; the set of observations obtained under identical treatment conditions.
Alpha (a)
The probability of a Type I error.
Abscissa
Horizontal axis.
Additive law of probability
The rule giving the probability of the occurrence of one or more mutually exclusive events.
Centering
The process of converting data to deviation scores.
Central limit theorem
The theorem that specifies the nature of the sampling distribution of the mean.
Adjacent values
Actual data pointsthat areno more extreme than the inner fences.
Adjusted correlation (radj)
A correction to the computed correlation coefficient to adjust for the number of predictors relative to the sample size.
Backward elimination
A stepwise regression procedure in which we start with all predictors andthemeliminate those that do not contribute significantly or up to some predetermined standard.
Alternative hypothesis (H1)
The hypothesis that is adopted when H0is rejected. Usually the same as the research hypothesis.
Analysis of variance (ANOVA)
Adjusted means
Means that have been adjusted for differences on a covariate.
All subsets regression
The result of a stepwise multiple regression when the program chooses that set of variables that has the best correlation with thecritierion.
A statistical technique for testing for differences in the means of several groups.
Analysis of covariance
An analysis of variance in which the data are adjusted (or controlled) for the presence of one or more other variables.
Column totals
The total number of observations occurring in a column of a contingency table.
Combinations
The number of ways objects can be selected without regard to order.
I would appreciate any additions, corrections, and clarification that are appropriate.
2 X 5 factorial design
A factorial design with one variable having two levels and the other having five levels.
Asymmetric relationships
Log-linear models where at least one variable is treated as an independent variable and at least one variable is treated as a dependent variable.
