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A learning curve is a graphical representation of the relationship between how proficient people are at a task and the amount of experience they have. Proficiency (measured on the vertical axis) usually increases with increased experience (the horizontal axis), that is to say, the more someone, groups, companies or industries perform a task, the better their performance at the task.
The power law of practice states that the logarithm of the reaction time for a particular task decreases linearly with the logarithm of the number of practice trials taken. It is an example of the learning curve effect on performance.
Log-linear analysis is a technique used in statistics to examine the relationship between more than two categorical variables. The technique is used for both hypothesis testing and model building. In both these uses, models are tested to find the most parsimonious (i.e., least complex) model that best accounts for the variance in the observed ...
The psychology of learning refers to theories and research on how individuals learn. There are many theories of learning. Some take on a more behaviorist approach which focuses on inputs and reinforcements. [1] [2] [3] Other approaches, such as neuroscience and social cognition, focus more on how the brain's organization and structure influence ...
A log–log plot of y = x (blue), y = x 2 (green), and y = x 3 (red). Note the logarithmic scale markings on each of the axes, and that the log x and log y axes (where the logarithms are 0) are where x and y themselves are 1. Comparison of linear, concave, and convex functions when plotted using a linear scale (left) or a log scale (right).
In psychology the term "learning curve" is used from time to time without any definition of the x and y axes, so that the the slope of the curve is [supposed to be derived from non-numerical values]. The first strict definition of the term for use in marketing and management is due to Wright(1927)".
Logarithmic can refer to: Logarithm, a transcendental function in mathematics; Logarithmic scale, the use of the logarithmic function to describe measurements;
The log-normal distribution has also been associated with other names, such as McAlister, Gibrat and Cobb–Douglas. [4] A log-normal process is the statistical realization of the multiplicative product of many independent random variables, each of which is positive.