 Chapter 16.16.1: A TV station takes a poll. A local television station announces a q...
 Chapter 16.16.2: Running red lights. A survey of licensed drivers inquired about run...
 Chapter 16.16.3: Rating the environment. A Gallup Poll asked the question How would ...
 Chapter 16.16.4: Holiday spending. How much do you plan to spend for gifts this holi...
 Chapter 16.16.5: Is it significant? In the absence of special preparation SAT mathem...
 Chapter 16.16.6: Detecting acid rain. Emissions of sulfur dioxide by industry set of...
 Chapter 16.16.7: Detecting acid rain, by hand. The previous exercise is very importa...
 Chapter 16.16.8: Confidence intervals help. Give a 95% confidence interval for the m...
 Chapter 16.16.9: How far do rich parents take us? How much education children get is...
 Chapter 16.16.10: Searching for ESP. A researcher looking for evidence of extrasensor...
 Chapter 16.16.11: Student attitudes: planning a study. The Survey of Study Habits and...
 Chapter 16.16.12: What is power? Example 15.8 (page 375) describes a test of the hypo...
 Chapter 16.16.13: Thinking about power. Answer these questions in the setting of the ...
 Chapter 16.16.14: Two types of error. In a criminal trial, the defendant is held to b...
 Chapter 16.16.15: Two types of error. Your company markets a computerized medical dia...
 Chapter 16.16.16: Detecting acid rain: power. Exercise 16.6 (page 394) concerned dete...
 Chapter 16.16.17: Detecting acid rain: power by hand. Even though software is used in...
 Chapter 16.16.18: Find the error probabilities. You have an SRS of size n = 9 from a ...
 Chapter 16.16.19: A professor interested in the opinions of collegeage adults about ...
 Chapter 16.16.21: You turn your Web browser to the online Excite Poll. You see that y...
 Chapter 16.16.22: Many sample surveys use welldesigned random samples but half or mo...
 Chapter 16.16.23: You ask a random sample of students at your school if they have eve...
 Chapter 16.16.24: Vigorous exercise helps people live several years longer (on the av...
 Chapter 16.16.25: The most important condition for sound conclusions from statistical...
 Chapter 16.16.26: An opinion poll reports that 60% of adults have tried to lose weigh...
 Chapter 16.16.27: A medical experiment compared the herb echinacea with a placebo for...
 Chapter 16.16.28: (Optional) The power of the test in the previous exercise against t...
 Chapter 16.16.29: Hotel managers. In Exercises 14.21 and 14.22 (page 358) you gave co...
 Chapter 16.16.30: Comparing statistics texts. A publisher wants to know which of two ...
 Chapter 16.16.31: Sampling at the mall. A market researcher chooses at random from wo...
 Chapter 16.16.32: When to use pacemakers. A medical panel prepared guidelines for whe...
 Chapter 16.16.33: Nuke terrorists? A recent Gallup Poll found that 27% of adult Ameri...
 Chapter 16.16.34: Why are larger samples better? Statisticians prefer large samples. ...
 Chapter 16.16.35: What is significance good for? Which of the following questions doe...
 Chapter 16.16.36: Sensitive questions. The National AIDS Behavioral Surveys found tha...
 Chapter 16.16.37: College degrees. Table 1.1 (page 11) gives the percent of each stat...
 Chapter 16.16.38: Effect of an outlier. Examining data on how long students take to c...
 Chapter 16.16.39: Supermarket shoppers. A marketing consultant observes 50 consecutiv...
 Chapter 16.16.40: Predicting success of trainees. What distinguishes managerial train...
 Chapter 16.16.41: What distinguishes schizophrenics? A group of psychologists once me...
 Chapter 16.16.42: Internet users. A survey of users of the Internet found that males ...
 Chapter 16.16.43: Comparing package designs. A company compares two package designs f...
 Chapter 16.16.44: Island life. When human settlers bring new plants and animals to an...
 Chapter 16.16.45: Helping welfare mothers. A study compares two groups of mothers wit...
 Chapter 16.16.46: Island life. Exercise 16.44 describes a study that tested the null ...
 Chapter 16.16.47: Is the stock market efficient? You are reading an article in a busi...
 Chapter 16.16.48: Island life. Exercise 16.44 describes a study that tested the null ...
 Chapter 16.16.49: Power. You read that a statistical test at the = 0.01 level has pro...
 Chapter 16.16.50: Power of a twosided test. Power calculations for twosided tests f...
 Chapter 16.16.51: Find the power. In Example 15.7 (page 373), a company medical direc...
Solutions for Chapter Chapter 16: Inference in Practice
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 16: Inference in Practice
Get Full SolutionsChapter Chapter 16: Inference in Practice includes 50 full stepbystep solutions. 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. Since 50 problems in chapter Chapter 16: Inference in Practice have been answered, more than 7529 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.

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.

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Average
See Arithmetic mean.

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.

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data

Combination.
A subset selected without replacement from a set used to determine the number of outcomes in events and sample spaces.

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

Control limits
See Control chart.

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.

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.

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 .

Covariance matrix
A square matrix that contains the variances and covariances among a set of random variables, say, X1 , X X 2 k , , … . The main diagonal elements of the matrix are the variances of the random variables and the offdiagonal elements are the covariances between Xi and Xj . Also called the variancecovariance matrix. When the random variables are standardized to have unit variances, the covariance matrix becomes the correlation matrix.

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

Defectsperunit control chart
See U chart

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

False alarm
A signal from a control chart when no assignable causes are present

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

Fraction defective control chart
See P chart

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