 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 34646 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.

Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average

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.

Attribute
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.

Average
See Arithmetic mean.

Biased estimator
Unbiased estimator.

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.

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.

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.

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.

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.

Deining relation
A subset of effects in a fractional factorial design that deine the aliases in the design.

Dependent variable
The response variable in regression or a designed experiment.

Error of estimation
The difference between an estimated value and the true value.

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

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

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

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 .