 20.1: 1. Hypotheses. Write the null and alternative hypothesesyou would u...
 20.2: 2. More hypotheses. Write the null and alternative hypothesesyou wo...
 20.3: 3. Negatives. After the political ad campaign describedin Exercise ...
 20.4: 4. Dice. The seller of a loaded die claims that it will favorthe ou...
 20.5: 5. Relief. A company's old antacid formula provided relief for 70% ...
 20.6: 6. Cars. A survey investigating whether the proportion of today's h...
 20.7: 7. He cheats! A friend of yours claims that when hetosses a coin he...
 20.8: 8. Candy. Someone hands you a box of a dozen chocolatecoveredcandie...
 20.9: 9. Cell phones. Many people have trouble setting up allthe features...
 20.10: 10. Got milk? In November 2001, the Ag Globe Trotternewsletter repo...
 20.11: 11. Dowsing. In a rural area, only about 30% of the wellsthat are d...
 20.12: 12. Abnormalities. In the 1980s it was generally believedthat conge...
 20.13: 13. Absentees. The National Center for Education Statisticsmonitors...
 20.14: 14. Educated mothers. The National Center for EducationStatistics m...
 20.15: 15. Contributions, please, part II. In Exercise 19.15 youlearned th...
 20.16: 16. Take the offer, part II. In Exercise 19.16 you learnedthat Firs...
 20.17: 17. Law School. According to the Law School AdmissionCouncil, in th...
 20.18: 18. Med School. According to the Association of AmericanMedical Col...
 20.19: 19. Pollution. A company with a fleet of 150 cars found that the em...
 20.20: 20. Scratch and dent. An appliance manufacturer stockpiles washers ...
 20.21: 21. Twins. In 2001 a national vital statistics report indicated tha...
 20.22: 22. Football 2006. During the 2006 season, the home team won 136 of...
 20.23: 23. WebZine. A magazine is considering the launch of an online edit...
 20.24: 24. Seeds. A garden center wants to store leftover packets of veget...
 20.25: 25. Women executives. A company is criticized because only 13 of 43...
 20.26: 26. Jury. Census data for a certain county show that 19% of the adu...
 20.27: 27. Dropouts. Some people are concerned that new tougher standards ...
 20.28: 28. Acid rain. A study of the effects of acid rain on trees in the ...
 20.29: 29. Lost luggage. An airline's public relations department says tha...
 20.30: 30. TV ads. A startup company is about to market a new computer pr...
 20.31: 31. John Wayne. Like a lot of other Americans, John Wayne died of c...
Solutions for Chapter 20: Testing Hypotheses About Proportions
Full solutions for Stats: Modeling The World  3rd Edition
ISBN: 9780131359581
Solutions for Chapter 20: Testing Hypotheses About Proportions
Get Full SolutionsStats: Modeling The World was written by and is associated to the ISBN: 9780131359581. Since 31 problems in chapter 20: Testing Hypotheses About Proportions have been answered, more than 44317 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Stats: Modeling The World , edition: 3. Chapter 20: Testing Hypotheses About Proportions includes 31 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions.

2 k p  factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each

aerror (or arisk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).

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

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.

Components of variance
The individual components of the total variance that are attributable to speciic sources. This usually refers to the individual variance components arising from a random or mixed model analysis of variance.

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

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

Continuous random variable.
A random variable with an interval (either inite or ininite) of real numbers for its range.

Counting techniques
Formulas used to determine the number of elements in sample spaces and events.

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

Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t

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.

Defectsperunit control chart
See U chart

Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.

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.

Experiment
A series of tests in which changes are made to the system under study

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.

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

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