C+-probability

In statistics, a c+-probability is the probability that a contrast variable obtains a positive value. ^[1]

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Table of Contents

1. 5 relations: Analysis of variance, Contrast (statistics), Effect size, Standardized mean of a contrast variable, Strictly standardized mean difference.

Analysis of variance

Analysis of variance (ANOVA) is a collection of statistical models and their associated estimation procedures (such as the "variation" among and between groups) used to analyze the differences among means.

See C+-probability and Analysis of variance

Contrast (statistics)

In statistics, particularly in analysis of variance and linear regression, a contrast is a linear combination of variables (parameters or statistics) whose coefficients add up to zero, allowing comparison of different treatments. C+-probability and contrast (statistics) are regression analysis.

See C+-probability and Contrast (statistics)

Effect size

In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity.

See C+-probability and Effect size

Standardized mean of a contrast variable

In statistics, the standardized mean of a contrast variable (SMCV or SMC), is a parameter assessing effect size.

See C+-probability and Standardized mean of a contrast variable

Strictly standardized mean difference

In statistics, the strictly standardized mean difference (SSMD) is a measure of effect size.

See C+-probability and Strictly standardized mean difference

References

[1] https://en.wikipedia.org/wiki/C%2B-probability

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