integral

(noun)

the limit of the sums computed in a process in which the domain of a function is divided into small subsets and a possibly nominal value of the function on each subset is multiplied by the measure of that subset, all these products then being summed

Related Terms

  • random variable
  • weighted average

Examples of integral in the following topics:

  • Continuous Probability Distributions

    • The probability for the random variable to fall within a particular region is given by the integral of this variable's density over the region.
    • The probability density function is nonnegative everywhere, and its integral over the entire space is equal to one.
  • Continuous Sampling Distributions

    • The probability for the random variable to fall within a particular region is given by the integral of this variable's density over the region .
  • The Correction Factor

    • From a rigorous theoretical standpoint, the expected value of a continuous variable is the integral of the random variable with respect to its probability measure.
    • Thus, for a continuous random variable the expected value is the limit of the weighted sum, i.e. the integral.
  • Expected Value

    • From a rigorous theoretical standpoint, the expected value of a continuous variable is the integral of the random variable with respect to its probability measure.
    • Thus, for a continuous random variable the expected value is the limit of the weighted sum, i.e. the integral.
  • The Density Scale

    • The probability for the random variable to fall within a particular region is given by the integral of this variable's density over the region .
  • Properties of Continuous Probability Distributions

    • When we use formulas to find the area in this textbook, the formulas were found by using the techniques of integral calculus.
  • Describing Qualitative Data

  • Significance Levels

    • To compute a $p$-value from the test statistic, one must simply sum (or integrate over) the probabilities of more extreme events occurring.
  • Stem-and-Leaf Displays

    • They retain (most of) the raw numerical data, often with perfect integrity.
  • Statistical Controls

    • They conducted 11 selected experiments in materials science to determine their practical application for Spacelab missions and to identify integration and operational problems that might occur on actual missions.
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