Log in to StudySoup
Get Full Access to
Join StudySoup for FREE
Get Full Access to

Already have an account? Login here
Reset your password

Textbooks / Statistics / Introductory Statistics 10

Introductory Statistics 10th Edition Solutions

Do I need to buy Introductory Statistics | 10th Edition to pass the class?

ISBN: 9780134270364

Introductory Statistics | 10th Edition - Solutions by Chapter

Do I need to buy this book?
1 Review

73% of students who have bought this book said that they did not need the hard copy to pass the class. Were they right? Add what you think:

Introductory Statistics 10th Edition Student Assesment

Star from Mississippi State University said

"If I knew then what I knew now I would not have bought the book. It was over priced and My professor only used it a few times."

Textbook: Introductory Statistics
Edition: 10
Author: Neil A. Weiss
ISBN: 9780134270364

The full step-by-step solution to problem in Introductory Statistics were answered by , our top Statistics solution expert on 10/03/18, 03:08PM. Introductory Statistics was written by and is associated to the ISBN: 9780134270364. Since problems from 0 chapters in Introductory Statistics have been answered, more than 200 students have viewed full step-by-step answer. This textbook survival guide was created for the textbook: Introductory Statistics, edition: 10. This expansive textbook survival guide covers the following chapters: 0.

Key Statistics Terms and definitions covered in this textbook
  • 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.

  • 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.

  • Attribute control chart

    Any control chart for a discrete random variable. See Variables control chart.

  • Average

    See Arithmetic mean.

  • Bayes’ theorem

    An equation for a conditional probability such as PA B ( | ) in terms of the reverse conditional probability PB A ( | ).

  • Bimodal distribution.

    A distribution with two modes

  • Center line

    A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.

  • Control limits

    See Control chart.

  • Covariance matrix

    A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the off-diagonal elements are the covariances between Xi and Xj . Also called the variance-covariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

  • Curvilinear regression

    An expression sometimes used for nonlinear regression models or polynomial regression models.

  • 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.

  • Deining relation

    A subset of effects in a fractional factorial design that deine the aliases in the design.

  • Density function

    Another name for a probability density function

  • Distribution function

    Another name for a cumulative distribution function.

  • Enumerative study

    A study in which a sample from a population is used to make inference to the population. See Analytic study

  • Exponential random variable

    A series of tests in which changes are made to the system under study

  • Fractional factorial experiment

    A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.

  • 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.

  • Geometric mean.

    The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

  • Geometric random variable

    A discrete random variable that is the number of Bernoulli trials until a success occurs.