 Chapter 8.8.1: Cell phones and brain cancer. A study of cell phones and the risk o...
 Chapter 8.8.2: Teaching economics. An educational software company wants to compar...
 Chapter 8.8.3: TV viewing and aggression. A typical hour of primetime television ...
 Chapter 8.8.4: Sampling students. A political scientist wants to know how college ...
 Chapter 8.8.5: The American Community Survey. The American Community Survey(ACS) i...
 Chapter 8.8.6: Customer satisfaction. A department store mails a customer satisfac...
 Chapter 8.8.7: Sampling on campus. You see a woman student standing in front of th...
 Chapter 8.8.8: More sampling on campus. Your college wants to gather student opini...
 Chapter 8.8.9: Apartment living. You are planning a report on apartment living in ...
 Chapter 8.8.10: Minority managers. A firm wants to understand the attitudes of its ...
 Chapter 8.8.11: Sampling the forest. To gather data on a 1200acre pine forest in L...
 Chapter 8.8.12: A stratified sample. A club has 30 student members and 10 faculty m...
 Chapter 8.8.13: Sampling by accountants. Accountants use stratified samples during ...
 Chapter 8.8.14: Ringnoanswer. A common form of nonresponse in telephone surveys i...
 Chapter 8.8.15: Question wording. In 2000, when the federal budget showed a large s...
 Chapter 8.8.16: Ask more people. Just before a presidential election, a national op...
 Chapter 8.8.17: The Nurses Health Study has interviewed a sample of more than 100,0...
 Chapter 8.8.18: How strong is the evidence from the Nurses Health Study (see the pr...
 Chapter 8.8.19: An opinion poll contacts 1161 adults and asks them, Which political...
 Chapter 8.8.20: A committee on community relations in a college town plans to surve...
 Chapter 8.8.21: The sample in the setting of the previous exercise is(a) all busine...
 Chapter 8.8.22: You can find the Excite Poll online at poll.excite.com. You simply ...
 Chapter 8.8.23: You must choose an SRS of 10 of the 440 retail outlets in New York ...
 Chapter 8.8.24: You are using the table of random digits to choose a simple random ...
 Chapter 8.8.25: You want to choose an SRS of 5 of the 7200 salaried employees of a ...
 Chapter 8.8.26: A sample of households in a community is selected at random from th...
 Chapter 8.8.27: Alcohol and heart attacks. Many studies have found that people who ...
 Chapter 8.8.28: Reducing nonresponse. How can we reduce the rate of refusals in tel...
 Chapter 8.8.29: Safety of anesthetics. The National Halothane Study was a major inv...
 Chapter 8.8.30: Movie viewing. An opinion poll calls 2000 randomly chosen residenti...
 Chapter 8.8.31: The United States in world affairs. A Gallup Poll asked, Do you thi...
 Chapter 8.8.32: Samesex marriage. Example 8.5 reports an online poll in which 60% ...
 Chapter 8.8.33: Ann Landers takes a sample. Advice columnist Ann Landers once asked...
 Chapter 8.8.34: Seat belt use. A study in El Paso, Texas, looked at seat belt use b...
 Chapter 8.8.35: Do you trust the Internet? You want to ask a sample of college stud...
 Chapter 8.8.36: Telephone area codes. There are approximately 371 active telephone ...
 Chapter 8.8.37: Nonresponse. Academic sample surveys, unlike commercial polls, ofte...
 Chapter 8.8.38: Running red lights. The sample described in the previous exercise p...
 Chapter 8.8.39: Sampling at a party. At a party there are 30 students over age 21 a...
 Chapter 8.8.40: Random digits. In using Table B repeatedly to choose random samples...
 Chapter 8.8.41: Random digits. Which of the following statements are true of a tabl...
 Chapter 8.8.42: Sampling at a party. At a large block party there are 290 men and 1...
 Chapter 8.8.43: Sampling Amazon forests. Stratified samples are widely used to stud...
 Chapter 8.8.44: Systematic random samples. Systematic random samples are often used...
 Chapter 8.8.45: Random digit dialing. The list of individuals from which a sample i...
 Chapter 8.8.46: Wording survey questions. Comment on each of the following as a pot...
 Chapter 8.8.47: Regulating guns. The National Gun Policy Survey asked respondents o...
 Chapter 8.8.48: Your own bad questions. Write your own examples of bad sample surve...
 Chapter 8.8.49: Canadas national health care. The Ministry of Health in the Canadia...
 Chapter 8.8.50: Polling Hispanics. A New York Times News Service article on a poll ...
Solutions for Chapter Chapter 8: Producing Data: Sampling
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 8: Producing Data: Sampling
Get Full SolutionsThe Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785. This expansive textbook survival guide covers the following chapters and their solutions. Since 50 problems in chapter Chapter 8: Producing Data: Sampling have been answered, more than 11090 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4. Chapter Chapter 8: Producing Data: Sampling includes 50 full stepbystep solutions.

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

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

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.

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.

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.

Coeficient of determination
See R 2 .

Completely randomized design (or experiment)
A type of experimental design in which the treatments or design factors are assigned to the experimental units in a random manner. In designed experiments, a completely randomized design results from running all of the treatment combinations in random order.

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

Conidence level
Another term for the conidence coeficient.

Contour plot
A twodimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.

Control limits
See Control chart.

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.

Demingâ€™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.

Design matrix
A matrix that provides the tests that are to be conducted in an experiment.

Error propagation
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.

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

Exponential random variable
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.

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 .