 20.1: Parameters and hypotheses For each of the following situations, def...
 20.2: Hypotheses and parameters As in Exercise 1, for each of the followi...
 20.3: Pvalues Which of the following are true? If false, explain briefly...
 20.4: More Pvalues Which of the following are true? If false, explain br...
 20.5: Hypotheses For each of the following, write out the null and altern...
 20.6: More hypotheses For each of the following, write out the alternativ...
 20.7: Errors For each of the following situations, state whether a Type I...
 20.8: More errors For each of the following situations, state whether a T...
 20.9: One sided or two? In each of the following situations, is the alter...
 20.10: Which alternative? In each of the following situations, is the alte...
 20.11: Pvalue A medical researcher tested a new treatment for poison ivy ...
 20.12: Another Pvalue Have harsher penalties and ad campaigns increased s...
 20.13: Alpha A researcher developing scanners to search for hidden weapons...
 20.14: Alpha again Environmentalists concerned about the impact of highfr...
 20.15: Significant? Public health officials believe that 90% of children h...
 20.16: Significant again? A new reading program may reduce the number of e...
 20.17: Groceries In January 2011, Yahoo surveyed 2400 U.S. men. 1224 of th...
 20.18: Is the Euro fair? Soon after the Euro was introduced as currency in...
 20.19: Approval In November 2011, Barack Obamas approval rating stood at 4...
 20.20: Hard times In June 2010, a random poll of 800 working men found tha...
 20.21: Dogs Canine hip dysplasia is a degenerative disease that causes pai...
 20.22: Fans A survey of 81 randomly selected people standing in line to en...
 20.23: Loans Before lending someone money, banks must decide whether they ...
 20.24: Spam Spam filters try to sort your emails, deciding which are real...
 20.25: Second loan Exercise 23 describes the loan score method a bank uses...
 20.26: More spam Consider again the pointsbased spam filter described in ...
 20.27: Homeowners In 2009, the U.S. Census Bureau reported that 67.4% of A...
 20.28: Alzheimers Testing for Alzheimers disease can be a long and expensi...
 20.29: Testing cars A clean air standard requires that vehicle exhaust emi...
 20.30: Quality control Production managers on an assembly line must monito...
 20.31: Cars again As in Exercise 29, state regulators are checking up on r...
 20.32: Production Consider again the task of the quality control inspector...
 20.33: Equal opportunity? A company is sued for job discrimination because...
 20.34: Stop signs Highway safety engineers test new road signs, hoping tha...
 20.35: Dropouts A Statistics professor has observed that for several years...
 20.36: Ads A company is willing to renew its advertising contract with a l...
 20.37: Dropouts, part II Initially, 203 students signed up for the Stats c...
 20.38: Testing the ads The company in Exercise 36 contacts 600 people sele...
 20.39: Two coins In a drawer are two coins. They look the same, but one co...
 20.40: Faulty or not? You are in charge of shipping computers to customers...
 20.41: Hoops A basketball player with a poor foulshot record practices in...
 20.42: Pottery An artist experimenting with clay to create pottery with a ...
Solutions for Chapter 20: More About Tests and Intervals
Full solutions for Stats Modeling the World  4th Edition
ISBN: 9780321854018
Solutions for Chapter 20: More About Tests and Intervals
Get Full SolutionsSince 42 problems in chapter 20: More About Tests and Intervals have been answered, more than 19759 students have viewed full stepbystep solutions from this chapter. Chapter 20: More About Tests and Intervals includes 42 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. Stats Modeling the World was written by and is associated to the ISBN: 9780321854018. This textbook survival guide was created for the textbook: Stats Modeling the World, edition: 4.

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

Bivariate normal distribution
The joint distribution of two normal 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).

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.

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

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.

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

Continuous distribution
A probability distribution for a continuous random variable.

Correlation coeficient
A dimensionless measure of the linear association between two variables, usually lying in the interval from ?1 to +1, with zero indicating the absence of correlation (but not necessarily the independence of the two variables).

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

Density function
Another name for a probability density function

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

Distribution free method(s)
Any method of inference (hypothesis testing or conidence interval construction) that does not depend on the form of the underlying distribution of the observations. Sometimes called nonparametric method(s).

Error mean square
The error sum of squares divided by its number of degrees of freedom.

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.

Exponential random variable
A series of tests in which changes are made to the system under study

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

Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.

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

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 .