 19.1: Hypotheses Write the null and alternative hypotheses you would use ...
 19.2: More hypotheses Write the null and alternative hypotheses you would...
 19.3: Negatives After the political ad campaign described in Exercise 1a,...
 19.4: Dice The seller of a loaded die claims that it will favor the outco...
 19.5: Relief A companys old antacid formula provided relief for 70% of th...
 19.6: Cars A survey investigating whether the proportion of todays high s...
 19.7: He cheats! A friend of yours claims that when he tosses a coin he c...
 19.8: Candy Someone hands you a box of a dozen chocolatecovered candies, ...
 19.9: Better than aspirin? A very large study showed that aspirin reduced...
 19.10: Psychic A friend of yours claims to be psychic. You are skeptical. ...
 19.11: Smartphones Many people have trouble setting up all the features of...
 19.12: Obesity In 2008, the Centers for Disease Control and Prevention rep...
 19.13: Dowsing In a rural area, only about 30% of the wells that are drill...
 19.14: Abnormalities In the 1980s it was generally believed that congenita...
 19.15: Absentees The National Center for Education Statistics monitors man...
 19.16: Educated mothers The National Center for Education Statistics monit...
 19.17: Contributions, please, part II In Chapter 18, Exercise 15, you lear...
 19.18: Take the offer, part II In Chapter 18, Exercise 16, you learned tha...
 19.19: Law School According to the Law School Admission Council, in the fa...
 19.20: Med School According to the Association of American Medical College...
 19.21: Pollution A company with a fleet of 150 cars found that the emissio...
 19.22: Scratch and dent An appliance manufacturer stockpiles washers and d...
 19.23: Twins In 2009 a national vital statistics report indicated that abo...
 19.24: Football During the 2010 season, the home team won 143 of the 246 r...
 19.25: WebZine A magazine is considering the launch of an online edition. ...
 19.26: Seeds A garden center wants to store leftover packets of vegetable ...
 19.27: Women executives A company is criticized because only 13 of 43 peop...
 19.28: Jury Census data for a certain county show that 19% of the adult re...
 19.29: Dropouts Some people are concerned that new tougher standards and h...
 19.30: Acid rain A study of the effects of acid rain on trees in the Hopki...
 19.31: Lost luggage An airlines public relations department says that the ...
 19.32: TV ads A startup company is about to market a new computer printer...
 19.33: John Wayne Like a lot of other Americans, John Wayne died of cancer...
 19.34: AP Stats The College Board reported that 58.7% of all students who ...
Solutions for Chapter 19: Testing Hypotheses About Proportions
Full solutions for Stats Modeling the World  4th Edition
ISBN: 9780321854018
Solutions for Chapter 19: Testing Hypotheses About Proportions
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Stats Modeling the World, edition: 4. Chapter 19: Testing Hypotheses About Proportions includes 34 full stepbystep solutions. Since 34 problems in chapter 19: Testing Hypotheses About Proportions have been answered, more than 21352 students have viewed full stepbystep solutions from this chapter. Stats Modeling the World was written by and is associated to the ISBN: 9780321854018.

Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

Asymptotic relative eficiency (ARE)
Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

Average
See Arithmetic mean.

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

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

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.

Chance cause
The portion of the variability in a set of observations that is due to only random forces and which cannot be traced to speciic sources, such as operators, materials, or equipment. Also called a common cause.

Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.

Critical region
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.

Defectsperunit control chart
See U chart

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a modelitting process and not on replication.

Expected value
The expected value of a random variable X is its longterm average or mean value. In the continuous case, the expected value of X is E X xf x dx ( ) = ?? ( ) ? ? where f ( ) x is the density function of the random variable X.

False alarm
A signal from a control chart when no assignable causes are present

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.

Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .