 11.3.1 BSC: Smoking Cessation The accompanying table summarizes successes and f...
 11.3.3 CRE: ICU Patients Listed below are the ages of randomly selected patient...
 11.3.3 RE: WeatherRelated Deaths Listed below are the numbers of weatherrela...
 11.3.4 BSC: RightTailed, LeftTailed, TwoTailed Is the hypothesis test in Exe...
 11.3.8 CQQ: Question refer to the sample data in the following table (based on ...
 11.3.5 CQQ: Question refer to the sample data in the following table (based on ...
 11.3.5 CRE: Boats and Manatees The table below lists the numbers of registered ...
 11.3.8 CRE: Probability and Honesty Based on the sample described in the preced...
 11.3.1 CQQ: Question refer to the sample data in the following table (based on ...
 11.3.1 CRE: Please be aware that some of the following problems may require kno...
 11.3.1 RE: Auto Fatalities The table below lists auto fatalities by day of the...
 11.3.5 BSC: In Exercise, test the given claim.Denomination Effect In a study of...
 11.3.5 RE: Flipping and Spinning Pennies Use the data in the table below with ...
 11.3.6 CQQ: Question refer to the sample data in the following table (based on ...
 11.3.2 RE: Measuring Weights When certain quantities are measured, the last di...
 11.3.3 BSC: Degrees of Freedom and Critical Value For the hypothesis test in Ex...
 11.3.3 CQQ: Question refer to the sample data in the following table (based on ...
 11.3.7 CQQ: efer to the sample data in the following table (based on data from ...
 11.3.7 CRE: Honesty Is the Best Policy In a USA Today survey of 456 subjects, 2...
 11.3.8 BSC: In Exercise, test the given claim.Discrimination The U.S. Supreme C...
 11.3.4 CQQ: Question refer to the sample data in the following table (based on ...
 11.3.4 CRE: ICU Patients Use the sample of ages from Exercise 1 to construct a ...
 11.3.4 RE: Bicycle Helmets A study was conducted of 531 persons injured in bic...
 11.3.2 BSC: Terminology The table in Exercise is called a contingency table or ...
 11.3.2 CQQ: Question refer to the sample data in the following table (based on ...
 11.3.2 CRE: Cigarette Costs In an American Express survey of 1000 adults 18 and...
 11.3.6 CRE: Forward Grip Reach and Ergonomics When designing cars and aircraft,...
 11.3.6 RE: Home Field Advantage Winningteam data were collected for teams in ...
 11.3.7 BSC: In Exercise, test the given claim.Testing a Lie Detector The table ...
 11.3.1BSC: Smoking Cessation? The accompanying table summarizes successes and ...
 11.3.1CQQ: Question? ?refer to the sample data in the following table (based o...
 11.3.1CRE: Please be aware that some of the following problems may require kno...
 11.3.1RE: Auto Fatalities? The table below lists auto fatalities by day of th...
 11.3.2BSC: Terminology? The table in Exercise is called a contingency table or...
 11.3.2CQQ: Question? ?refer to the sample data in the following table (based o...
 11.3.2CRE: Cigarette Costs? In an American Express survey of 1000 adults 18 an...
 11.3.2RE: Measuring Weights? When certain quantities are measured, the last d...
 11.3.3BSC: Degrees of Freedom and Critical Value? For the hypothesis test in E...
 11.3.3CQQ: Question? ?refer to the sample data in the following table (based o...
 11.3.3CRE: ICU Patients? Listed below are the ages of randomly selected patien...
 11.3.3RE: WeatherRelated Deaths? Listed below are the numbers of weatherrel...
 11.3.4BSC: RightTailed, LeftTailed, TwoTailed? Is the hypothesis test in Ex...
 11.3.4CQQ: Question? ?refer to the sample data in the following table (based o...
 11.3.4RE: Bicycle Helmets? A study was conducted of 531 persons injured in bi...
 11.3.4CRE: ICU Patients? Use the sample of ages from Exercise 1 to construct a...
 11.3.5BSC: In Exercise? est the given? ?claim. Denomination Effect? In a study...
 11.3.5CQQ: Question? ?refer to the sample data in the following table (based o...
 11.3.5CRE: Boats and Manatees? The table below lists the numbers of registered...
 11.3.5RE: Flipping and Spinning Pennies? Use the data in the table below with...
 11.3.6CRE: Forward Grip Reach and Ergonomics? When designing cars and aircraft...
 11.3.6CQQ: Question? ?refer to the sample data in the following table (based o...
 11.3.6RE: Home Field Advantage? Winningteam data were collected for teams in...
 11.3.7BSC: In Exercise?? est the given? ?claim. Testing a Lie Detector? The ta...
 11.3.7CQQ: refer to the sample data in the following table (based on data from...
 11.3.7CRE: Honesty Is the Best Policy? In a ?USA Today? survey of 456 subjects...
 11.3.8CQQ: Question? ?refer to the sample data in the following table (based o...
 11.3.8CRE: Probability and Honesty? Based on the sample described in the prece...
 11.3.9BSC: ?9CQQQuestion refer to the sample data in the following table (base...
 11.3.9CQQ: ?9CQQQuestion refer to the sample data in the following table (base...
 11.3.10BSC: In Exercise, test the given claim.Nurse a Serial Killer? Alert nurs...
 11.3.10CQQ: Question refer to the sample data in the following table (based on ...
 11.3.11BSC: test the given claim.Tennis ChallengesThe table below shows results...
 11.3.12BSC: In Exercise, test the given claim.Lefties A random sample of 760 su...
 11.3.13BSC: In Exercise, test the given claim.Soccer Strategy In soccer, seriou...
 11.3.14BSC: test the given claim.Is Seat Belt Use Independent of Cigarette Smok...
 11.3.15BSC: In Exercise, test the given claim.Clinical Trial of Echinacea In a ...
 11.3.16BSC: In Exercise, test the given claim.Injuries and Motorcycle Helmet Co...
 11.3.17BSC: In Exercise, test the given claim.Survey Refusals A study of people...
 11.3.18BSC: In Exercise, test the given claim.Baseball Player Births In his boo...
 11.3.19BSC: Clinical Trial of Lipitor Lipitor is the trade name of the drug ato...
 11.3.20BSC: Genetics and Handedness In a study of lefthandedness as a possible...
 11.3.21BB: Equivalent Tests A ?2 test involving a 2 × 2 table is equivalent to...
 11.3.22BB: Using Yates’s Correction for Continuity The chisquare distribution...
Solutions for Chapter 11.3: Elementary Statistics 12th Edition
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 11.3
Get Full SolutionsElementary Statistics was written by and is associated to the ISBN: 9780321836960. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12. Since 73 problems in chapter 11.3 have been answered, more than 180016 students have viewed full stepbystep solutions from this chapter. Chapter 11.3 includes 73 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions.

aerror (or arisk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).

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).

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.

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

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.

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

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).

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

Chisquare (or chisquared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.

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 .

Covariance
A measure of association between two random variables obtained as the expected value of the product of the two random variables around their means; that is, Cov(X Y, ) [( )( )] =? ? E X Y ? ? X Y .

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.

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

Dependent variable
The response variable in regression or a designed experiment.

Discrete random variable
A random variable with a inite (or countably ininite) range.

Estimator (or point estimator)
A procedure for producing an estimate of a parameter of interest. An estimator is usually a function of only sample data values, and when these data values are available, it results in an estimate of the parameter of interest.

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.

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

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 .