 Chapter 17.17.1: Consumer behavior. A researcher studying the effect of price cuts o...
 Chapter 17.17.2: Tom Clancys writing. Different types of writing can sometimes bedis...
 Chapter 17.17.3: How much do students earn? A universitys financial aid office wants...
 Chapter 17.17.4: California area codes. A sample survey of California households use...
 Chapter 17.17.5: Elephants and bees. Elephants sometimes damage crops in Africa. It ...
 Chapter 17.17.6: Support groups for breast cancer. Does participating in a support g...
 Chapter 17.17.7: Effects of day care. The Carolina Abecedarian Project investigated ...
 Chapter 17.17.8: TV programming. Your local television station wonders if its viewer...
 Chapter 17.17.9: Marijuana and driving. Questioning a sample of young people in New ...
 Chapter 17.17.10: Estimating blood cholesterol. The distribution of blood cholesterol...
 Chapter 17.17.11: Testing blood cholesterol. The mean blood cholesterol level for all...
 Chapter 17.17.12: Smaller margin of error. How large a sample is needed to cut the ma...
 Chapter 17.17.13: More significant results. You increase the sample of crosscountry ...
 Chapter 17.17.14: Pesticides in whale blubber. The level of pesticides found in the b...
 Chapter 17.17.15: Testing pesticide level. The Food and Drug Administration regulates...
 Chapter 17.17.16: Other confidence levels. Use the information in Exercise 17.14 to g...
 Chapter 17.17.17: Birth weight and IQ: estimation. Infants weighing less than 1500 gr...
 Chapter 17.17.18: Birth weight and IQ: testing. IQ tests are scaled so that the mean ...
 Chapter 17.17.19: Birth weight and IQ: causation? Verylowbirthweight babies are mo...
 Chapter 17.17.20: Sample space. A randomly chosen subject arrives for a study of exer...
 Chapter 17.17.21: Spam email. More than 75% of email messages are now spam. Choose a ...
 Chapter 17.17.22: How many in the house? In government data, a household consists of ...
 Chapter 17.17.23: Moving up. A study of social mobility in England looked at the soci...
 Chapter 17.17.24: The addition rule. The addition rule for probabilities, P(A or B) =...
 Chapter 17.17.25: Internet access. The amount that households pay service providers f...
 Chapter 17.17.26: An IQ test. The Wechsler Adult Intelligence Scale (WAIS) is a commo...
 Chapter 17.17.27: Distributions: means versus individuals. The z confidence interval ...
 Chapter 17.17.28: Distributions: larger samples. In the setting of the previous exerc...
 Chapter 17.17.29: Size of apartments. The mean area of the several thousand apartment...
 Chapter 17.17.30: Normal body temperature? Here are the daily average body temperatur...
 Chapter 17.17.31: Size of apartments. Use the data in Exercise 17.29 to estimate the ...
 Chapter 17.17.32: Normal body temperature. Use the data in Exercise 17.30 to estimate...
 Chapter 17.17.33: Cash to find work? Will cash bonuses speed the return to work of un...
 Chapter 17.17.34: Surviving a layoff. Workers who survive a layoff of other employees...
 Chapter 17.17.35: Brains at work. When our brains store information, complicated chem...
 Chapter 17.17.36: Support groups for breast cancer, continued. Here are some of the r...
 Chapter 17.17.37: California brushfires. We often see televised reports of brushfires...
 Chapter 17.17.38: Sampling students. You want to investigate the attitudes of student...
 Chapter 17.17.39: The placebo effect. A survey of physicians found that some doctors ...
 Chapter 17.17.40: Informed consent. The requirement that human subjects give their in...
 Chapter 17.17.41: Missile defense. The question of whether the United States should d...
 Chapter 17.17.42: Market research. Stores advertise price reductions to attract custo...
 Chapter 17.17.43: 17.43 Making french fries. Few people want to eat discolored french...
 Chapter 17.17.44: Comparing wine tasters. Two wine tasters rate each wine they taste ...
 Chapter 17.17.45: A 14sided die. An ancient Korean drinking game involves a 14sided...
 Chapter 17.17.46: Alcohol and mortality. It appears that people who drink alcohol in ...
 Chapter 17.17.47: Tests from confidence intervals. You read in a Census Bureau report...
 Chapter 17.17.48: Low power? (optional) It appears that eating oat bran lowers choles...
 Chapter 17.17.49: Type I and Type II errors (optional). Exercise 17.18 asks for a sig...
 Chapter 17.17.50: Tax returns. The Internal Revenue Service received 130,424,000 indi...
 Chapter 17.17.51: Comparing wine tasters. In the setting of Exercise 17.44, Taster 1s...
 Chapter 17.17.52: A baseball clich e. How often have you heard a baseball radio or TV...
 Chapter 17.17.53: Posting photos online. Suppose (as is roughly true) that 20% of all...
 Chapter 17.17.54: Many tests. Long ago, a group of psychologists carried out 77 separ...
 Chapter 17.17.55: Is business success just chance? Investors like to think that some ...
 Chapter 17.17.56: Admitting students to college. A selective college would like to ha...
 Chapter 17.17.57: Admitting students to college, continued. What is the approximatepr...
 Chapter 17.17.58: Life tables. The National Center for Health Statistics produces a l...
 Chapter 17.17.59: Cystic fibrosis. Cystic fibrosis is a lung disorder that often resu...
 Chapter 17.17.60: Cystic fibrosis, continued. Jason tests positive on the CF20m test....
 Chapter 17.17.61: Students online. Students have different patterns of Internet use t...
 Chapter 17.17.62: Teenage drivers. An insurance company has the following information...
 Chapter 17.17.63: Teenage drivers, continued. Use your work from the previous exercis...
 Chapter 17.17.64: Do the rich stay that way? We like to think that anyone can rise to...
 Chapter 17.17.65: Fear of Buildings on Campus. Respond to Questions 1, 2, and 3 for t...
 Chapter 17.17.66: Puerto Rican vs. U.S. Consumers. Write a report that answers all th...
 Chapter 17.17.67: Anecdotes of Bias. Answer all of the questions posed about these in...
 Chapter 17.17.68: Checkmating and Reading Skills. Respond to Questions 1 and 3 for th...
 Chapter 17.17.69: Surgery in a Blanket. Write a response to Questions 1 and 2. (Desig...
 Chapter 17.17.70: Visibility of Highway Signs. Answer Questions 1, 2, and 3(a) for th...
 Chapter 17.17.71: Columbuss 1993 Election Poll. Write a report that responds to Quest...
 Chapter 17.17.72: Anecdotes of Significance Testing. Answer all three questions. (Int...
 Chapter 17.17.73: Blinded Knee Doctors.(a) Outline the design of this experiment.(b) ...
Solutions for Chapter Chapter 17: From Exploration to Inference: Part II Review
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 17: From Exploration to Inference: Part II Review
Get Full SolutionsChapter Chapter 17: From Exploration to Inference: Part II Review includes 73 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. Since 73 problems in chapter Chapter 17: From Exploration to Inference: Part II Review have been answered, more than 10648 students have viewed full stepbystep solutions from this chapter. The Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785. This textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4.

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

Assignable cause
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

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.

Center line
A horizontal line on a control chart at the value that estimates the mean of the statistic plotted on the chart. See Control chart.

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.

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

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

Cook’s distance
In regression, Cook’s distance is a measure of the inluence of each individual observation on the estimates of the regression model parameters. It expresses the distance that the vector of model parameter estimates with the ith observation removed lies from the vector of model parameter estimates based on all observations. Large values of Cook’s distance indicate that the observation is inluential.

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.

Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.

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.

Error variance
The variance of an error term or component in a model.

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.

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.

Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

Gaussian distribution
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications

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 .

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 .