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Solutions for Chapter CHAPTER 11 : COMPOUND INTEREST AND PRESENT VALUE

Contemporary Mathematics | 6th Edition | ISBN: 9780538481267 | Authors: Robert Brechner

Full solutions for Contemporary Mathematics | 6th Edition

ISBN: 9780538481267

Contemporary Mathematics | 6th Edition | ISBN: 9780538481267 | Authors: Robert Brechner

Solutions for Chapter CHAPTER 11 : COMPOUND INTEREST AND PRESENT VALUE

Solutions for Chapter CHAPTER 11
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Textbook: Contemporary Mathematics
Edition: 6
Author: Robert Brechner
ISBN: 9780538481267

This expansive textbook survival guide covers the following chapters and their solutions. Contemporary Mathematics was written by and is associated to the ISBN: 9780538481267. Since 40 problems in chapter CHAPTER 11 : COMPOUND INTEREST AND PRESENT VALUE have been answered, more than 6086 students have viewed full step-by-step solutions from this chapter. Chapter CHAPTER 11 : COMPOUND INTEREST AND PRESENT VALUE includes 40 full step-by-step solutions. This textbook survival guide was created for the textbook: Contemporary Mathematics, edition: 6.

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).

  • Additivity property of x 2

    If two independent random variables X1 and X2 are distributed as chi-square with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chi-square random variable with u = + v v 1 2 degrees of freedom. This generalizes to any number of independent chi-square random variables.

  • Adjusted R 2

    A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

  • Average run length, or ARL

    The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.

  • Axioms of probability

    A set of rules that probabilities deined on a sample space must follow. See Probability

  • Bivariate normal distribution

    The joint distribution of two normal random variables

  • Combination.

    A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.

  • Conditional probability

    The probability of an event given that the random experiment produces an outcome in another event.

  • Conidence level

    Another term for the conidence coeficient.

  • Contour plot

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

  • Counting techniques

    Formulas used to determine the number of elements in sample spaces and events.

  • Defects-per-unit control chart

    See U chart

  • Degrees of freedom.

    The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

  • Distribution function

    Another name for a cumulative distribution function.

  • Error mean square

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

  • Exhaustive

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

  • 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.

  • Gamma function

    A function used in the probability density function of a gamma random variable that can be considered to extend factorials

  • Gamma random variable

    A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

  • Generating function

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

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