 Introduction.1: Protecting wood How can we help wood surfaces resist weathering, es...
 Introduction.2: Medical study variables Data from a medical study contain values of...
 Introduction.3: A class survey Here is a small part of the data set that describes ...
 Introduction.4: Coaster craze Many people like to ride roller coasters. Amusement p...
 Introduction.5: Ranking colleges Popular magazines rank colleges and universities o...
 Introduction.6: Students and TV You are preparing to study the televisionviewing h...
 Introduction.7: Multiple choice: Select the best answer. Exercises 7 and 8 refer to...
 Introduction.8: Multiple choice: Select the best answer. Exercises 7 and 8 refer to...
Solutions for Chapter Introduction: Data Analysis: Making Sense of Data
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter Introduction: Data Analysis: Making Sense of Data
Get Full SolutionsSince 8 problems in chapter Introduction: Data Analysis: Making Sense of Data have been answered, more than 9085 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Chapter Introduction: Data Analysis: Making Sense of Data includes 8 full stepbystep solutions. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5.

Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average

Average
See Arithmetic mean.

Box plot (or box and whisker plot)
A graphical display of data in which the box contains the middle 50% of the data (the interquartile range) with the median dividing it, and the whiskers extend to the smallest and largest values (or some deined lower and upper limits).

C chart
An attribute control chart that plots the total number of defects per unit in a subgroup. Similar to a defectsperunit or U chart.

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

Central limit theorem
The simplest form of the central limit theorem states that the sum of n independently distributed random variables will tend to be normally distributed as n becomes large. It is a necessary and suficient condition that none of the variances of the individual random variables are large in comparison to their sum. There are more general forms of the central theorem that allow ininite variances and correlated random variables, and there is a multivariate version of the theorem.

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

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

Conidence interval
If it is possible to write a probability statement of the form PL U ( ) ? ? ? ? = ?1 where L and U are functions of only the sample data and ? is a parameter, then the interval between L and U is called a conidence interval (or a 100 1( )% ? ? conidence interval). The interpretation is that a statement that the parameter ? lies in this interval will be true 100 1( )% ? ? of the times that such a statement is made

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

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 offdiagonal elements rij are the correlations between Xi and Xj .

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

Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.

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

Ftest
Any test of signiicance involving the F distribution. The most common Ftests are (1) testing hypotheses about the variances or standard deviations of two independent normal distributions, (2) testing hypotheses about treatment means or variance components in the analysis of variance, and (3) testing signiicance of regression or tests on subsets of parameters in a regression model.

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

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.
I don't want to reset my password
Need help? Contact support
Having trouble accessing your account? Let us help you, contact support at +1(510) 9441054 or support@studysoup.com
Forgot password? Reset it here