 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 7732 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.

Additivity property of x 2
If two independent random variables X1 and X2 are distributed as chisquare with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chisquare random variable with u = + v v 1 2 degrees of freedom. This generalizes to any number of independent chisquare random variables.

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

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

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

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.

Categorical data
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.

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.

Confounding
When a factorial experiment is run in blocks and the blocks are too small to contain a complete replicate of the experiment, one can run a fraction of the replicate in each block, but this results in losing information on some effects. These effects are linked with or confounded with the blocks. In general, when two factors are varied such that their individual effects cannot be determined separately, their effects are said to be confounded.

Correction factor
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

Density function
Another name for a probability density function

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.

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

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.

Fisher’s least signiicant difference (LSD) method
A series of pairwise hypothesis tests of treatment means in an experiment to determine which means differ.

Fraction defective
In statistical quality control, that portion of a number of units or the output of a process that is defective.

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

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