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Textbooks / Statistics / Elementary Statistics 13

Elementary Statistics 13th Edition - Solutions by Chapter

Elementary Statistics | 13th Edition | ISBN: 9780134462455 | Authors: Mario F. Triola

Full solutions for Elementary Statistics | 13th Edition

ISBN: 9780134462455

Elementary Statistics | 13th Edition | ISBN: 9780134462455 | Authors: Mario F. Triola

Elementary Statistics | 13th Edition - Solutions by Chapter

Solutions by Chapter
4 5 0 323 Reviews
Textbook: Elementary Statistics
Edition: 13
Author: Mario F. Triola
ISBN: 9780134462455

The full step-by-step solution to problem in Elementary Statistics were answered by Aimee Notetaker, our top Statistics solution expert on 03/25/22, 03:20PM. Since problems from 67 chapters in Elementary Statistics have been answered, more than 4565 students have viewed full step-by-step answer. This expansive textbook survival guide covers the following chapters: 67. Elementary Statistics was written by Aimee Notetaker and is associated to the ISBN: 9780134462455. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 13.

Key Statistics Terms and definitions covered in this textbook
  • Addition rule

    A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

  • Assignable cause

    The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

  • Attribute

    A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.

  • Conditional mean

    The mean of the conditional probability distribution of a random variable.

  • Conditional probability distribution

    The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

  • Confounding

    When a factorial experiment is run in blocks and the blocks are too small to contain a complete replicate of the experiment, one can run a fraction of the replicate in each block, but this results in losing information on some effects. These effects are linked with or confounded with the blocks. In general, when two factors are varied such that their individual effects cannot be determined separately, their effects are said to be confounded.

  • Contour plot

    A two-dimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.

  • Correlation

    In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

  • Correlation matrix

    A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the off-diagonal elements rij are the correlations between Xi and Xj .

  • Decision interval

    A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.

  • Defect concentration diagram

    A quality tool that graphically shows the location of defects on a part or in a process.

  • Density function

    Another name for a probability density function

  • Error mean square

    The error sum of squares divided by its number of degrees of freedom.

  • Error variance

    The variance of an error term or component in a model.

  • Exhaustive

    A property of a collection of events that indicates that their union equals the sample space.

  • Extra sum of squares method

    A method used in regression analysis to conduct a hypothesis test for the additional contribution of one or more variables to a model.

  • Forward selection

    A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

  • Generating function

    A function that is used to determine properties of the probability distribution of a random variable. See Moment-generating function

  • Generator

    Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.

  • Hat matrix.

    In multiple regression, the matrix H XXX X = ( ) ? ? -1 . This a projection matrix that maps the vector of observed response values into a vector of itted values by yˆ = = X X X X y Hy ( ) ? ? ?1 .