 Chapter 12.12.1: Lost Internet sites. Internet sites often vanish or move, so that r...
 Chapter 12.12.2: Playing the slots. Slot machines are now video games, with outcomes...
 Chapter 12.12.3: Common names. The Census Bureau says that the 10 most common names ...
 Chapter 12.12.4: Collegeeducated construction workers? Government data show that 28...
 Chapter 12.12.5: Tastes in music. Musical styles other than rock and pop are becomin...
 Chapter 12.12.6: Distance learning. A study of the students taking distance learning...
 Chapter 12.12.7: Tastes in music. In the setting of Exercise 12.5, what is the condi...
 Chapter 12.12.8: Distance learning. In the setting of Exercise 12.6, what is the con...
 Chapter 12.12.9: Computer games. Here is the distribution of computer games sold in ...
 Chapter 12.12.10: At the gym. Suppose that 10% of adults belong to health clubs, and ...
 Chapter 12.12.11: Education and income. Call a person educated if he or she holds at ...
 Chapter 12.12.12: The probability of a flush. A poker player holds a flush when all 5...
 Chapter 12.12.13: Spelling errors. Spelling errors in a text are either nonword error...
 Chapter 12.12.14: Testing for HIV. Enzyme immunoassay tests are used to screen blood ...
 Chapter 12.12.15: Nonword spelling errors. Continue your work from Exercise 12.13. Of...
 Chapter 12.12.16: False HIV positives. Continue your work from Exercise 12.14. What i...
 Chapter 12.12.17: An instant lottery game gives you probability 0.02 of winning on an...
 Chapter 12.12.18: The probability that you win on one or more of your 3 plays of the ...
 Chapter 12.12.19: An athlete suspected of having used steroids is given two tests tha...
 Chapter 12.12.20: Choose a violent death in this age group at random. The probability...
 Chapter 12.12.21: The conditional probability that the victim was male, given that th...
 Chapter 12.12.22: The conditional probability that the death was accidental, given th...
 Chapter 12.12.23: Let A be the event that a victim of violent death was a woman and B...
 Chapter 12.12.24: Choose an American adult at random. The probability that you choose...
 Chapter 12.12.25: Of people who died in the United States in a recent year, 86% were ...
 Chapter 12.12.26: Using the information in the previous exercise, the probability tha...
 Chapter 12.12.27: Playing the lottery. New York States Quick Draw lottery moves right...
 Chapter 12.12.28: Universal blood donors. People with type Onegative blood are unive...
 Chapter 12.12.29: Telemarketing. Telephone marketers and opinion polls use random dig...
 Chapter 12.12.30: A random walk on Wall Street? The random walk theory of stock price...
 Chapter 12.12.31: Older women. Government data show that 6% of the American populatio...
 Chapter 12.12.32: Foreignborn Californians. The Census Bureau reports that 27% of Ca...
 Chapter 12.12.33: Getting into college. Ramon has applied to both Princeton and Stanf...
 Chapter 12.12.34: Tendon surgery. You have torn a tendon and are facing surgery to re...
 Chapter 12.12.35: Screening job applicants. A company retains a psychologist to asses...
 Chapter 12.12.36: Foreignlanguage study. Choose a student in grades 9 to 12 at rando...
 Chapter 12.12.37: Income tax returns. Here is the distribution of the adjusted gross ...
 Chapter 12.12.38: Geometric probability. Choose a point at random in the square with ...
 Chapter 12.12.39: A probability teaser. Suppose (as is roughly correct) that each chi...
 Chapter 12.12.40: The probability of a royal flush. A royal flush is the highest hand...
 Chapter 12.12.41: College degrees. Here are the counts (in thousands) of earned degre...
 Chapter 12.12.42: College degrees. Exercise 12.41 gives the counts (in thousands) of ...
 Chapter 12.12.43: Julies job prospects. Julie is graduating from college. She has stu...
 Chapter 12.12.44: What is the probability that Julie is offered at least one of the t...
 Chapter 12.12.45: What is the probability that Julie is offered both the Connecticut ...
 Chapter 12.12.46: If Julie is offered the federal job, what is the conditional probab...
 Chapter 12.12.47: The geometric distributions. You are tossing a balanced die that ha...
 Chapter 12.12.48: Urban voters. The voters in a large city are 40% white, 40% black, ...
 Chapter 12.12.49: At the gas pump. At a selfservice gas station, 40% of the customer...
 Chapter 12.12.50: Where do the votes come from? In the election described in Exercise...
 Chapter 12.12.51: Who pays $30 for gas? In the setting of Exercise 12.49, what percen...
 Chapter 12.12.52: Fundraising by telephone. Tree diagrams can organize problems havin...
 Chapter 12.12.53: Find the unemployment rate for people with each level of education....
 Chapter 12.12.54: (a) What is the probability that a randomly chosen person 25 years ...
 Chapter 12.12.55: (a) You know that a person is employed. What is the conditional pro...
 Chapter 12.12.56: Rachel and Jonathan both have alleles A and B.(a) What blood types ...
 Chapter 12.12.57: Sarah and David both have alleles B and O.(a) What blood types can ...
 Chapter 12.12.58: Isabel has alleles A and O. Carlos has alleles A and B. They have t...
 Chapter 12.12.59: Jasmine has alleles A and O. Tyrone has alleles B and O.(a) What is...
Solutions for Chapter Chapter 12: General Rules of Probability
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 12: General Rules of Probability
Get Full SolutionsThis textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4. Since 59 problems in chapter Chapter 12: General Rules of Probability have been answered, more than 10673 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 expansive textbook survival guide covers the following chapters and their solutions. Chapter Chapter 12: General Rules of Probability includes 59 full stepbystep solutions.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

Alternative hypothesis
In statistical hypothesis testing, this is a hypothesis other than the one that is being tested. The alternative hypothesis contains feasible conditions, whereas the null hypothesis speciies conditions that are under test

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

Biased estimator
Unbiased estimator.

Bivariate distribution
The joint probability distribution of two random variables.

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).

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

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.

Critical value(s)
The value of a statistic corresponding to a stated signiicance level as determined from the sampling distribution. For example, if PZ z PZ ( )( .) . ? =? = 0 025 . 1 96 0 025, then z0 025 . = 1 9. 6 is the critical value of z at the 0.025 level of signiicance. Crossed factors. Another name for factors that are arranged in a factorial experiment.

Crossed factors
Another name for factors that are arranged in a factorial experiment.

Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.

Designed experiment
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment

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.

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.

Factorial experiment
A type of experimental design in which every level of one factor is tested in combination with every level of another factor. In general, in a factorial experiment, all possible combinations of factor levels are tested.

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

Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

Generator
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.