 10.1.1: Goldfish Refer to the example on page 615. Suppose that your teache...
 10.1.2: Homework Refer to page 612. Suppose that both school counselors dec...
 10.1.3: I want red! A candy maker offers Child and Adult bags of jelly bean...
 10.1.4: Literacy A researcher reports that 80% of high school graduates, bu...
 10.1.5: Explain why the conditions for constructing a twosample z interval...
 10.1.6: Explain why the conditions for constructing a twosample z interval...
 10.1.7: Explain why the conditions for constructing a twosample z interval...
 10.1.8: Explain why the conditions for constructing a twosample z interval...
 10.1.9: Who tweets? Do younger people use Twitter more often than older peo...
 10.1.10: Listening to rap Is rap music more popular among young blacks than ...
 10.1.11: Young adults living at home A surprising number of young adults (ag...
 10.1.12: Fear of crime The elderly fear crime more than younger people, even...
 10.1.13: Who owns iPods? As part of the Pew Internet and American Life Proje...
 10.1.14: Steroids in high school A study by the National Athletic Trainers A...
 10.1.15: Who owns iPods? Refer to Exercise 13. Carry out a significance test...
 10.1.16: Steroids in high school Refer to Exercise 14. Carry out a significa...
 10.1.17: Who owns iPods? Refer to Exercise 13. Construct and interpret a 95%...
 10.1.18: Steroids in high school Refer to Exercise 14. Construct and interpr...
 10.1.19: Children make choices Many new products introduced into the market ...
 10.1.20: Marriage and status Would you marry a person from a lower social cl...
 10.1.21: Driving school A driving school owner believes that Instructor A is...
 10.1.22: Preventing strokes Aspirin prevents blood from clotting and so help...
 10.1.23: Exercises 23 and 24 involve the following setting. Some women would...
 10.1.24: Exercises 23 and 24 involve the following setting. Some women would...
 10.1.25: Multiple choice: Select the best answer for Exercises 25 to 28. Exe...
 10.1.26: Multiple choice: Select the best answer for Exercises 25 to 28. Exe...
 10.1.27: Multiple choice: Select the best answer for Exercises 25 to 28. Exe...
 10.1.28: In an experiment to learn whether Substance M can help restore memo...
 10.1.29: Drive my car (3.2) (a) What is the equation of the leastsquares re...
 10.1.30: Drive my car (3.2, 4.3) (a) Explain what the value of r 2 tells you...
Solutions for Chapter 10.1: Comparing Two Proportions
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 10.1: Comparing Two Proportions
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Since 30 problems in chapter 10.1: Comparing Two Proportions have been answered, more than 8955 students have viewed full stepbystep solutions from this chapter. Chapter 10.1: Comparing Two Proportions includes 30 full stepbystep solutions. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5.

2 k factorial experiment.
A full factorial experiment with k factors and all factors tested at only two levels (settings) each.

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

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

Asymptotic relative eficiency (ARE)
Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

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).

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.

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

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

Critical region
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.

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

Dispersion
The amount of variability exhibited by data

Empirical model
A model to relate a response to one or more regressors or factors that is developed from data obtained from the system.

Estimate (or point estimate)
The numerical value of a point estimator.

Expected value
The expected value of a random variable X is its longterm average or mean value. In the continuous case, the expected value of X is E X xf x dx ( ) = ?? ( ) ? ? where f ( ) x is the density function of the random variable X.

F distribution.
The distribution of the random variable deined as the ratio of two independent chisquare random variables, each divided by its number of degrees of freedom.

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.

Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .
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