 Chapter 23.23.1: (a) What percent of men with a primary school education are nonsmok...
 Chapter 23.23.2: (a) It appears that people who have bought the recycled filters hav...
 Chapter 23.23.3: Nonsmokers and education in France. In the setting of Exercise 23.1...
 Chapter 23.23.4: Whos online? A sample survey by the Pew Internet and American Life ...
 Chapter 23.23.5: The twoway table in Exercise 23.1 displays dataon the education an...
 Chapter 23.23.6: Exercise 23.2 describes a comparison ofthe attitudes of people who ...
 Chapter 23.23.7: In Exercises 23.1 and 23.5, you began to analyzedata on the smoking...
 Chapter 23.23.8: In Exercises 23.2 and 23.6 you began toanalyze data on consumer att...
 Chapter 23.23.9: Does chisquare apply? Figure 23.3 displays Minitab output for data...
 Chapter 23.23.10: Does chisquare apply? Figure 23.4 displays CrunchIt! output for da...
 Chapter 23.23.11: (a) Describe the differences between the distributions of majors fo...
 Chapter 23.23.12: The CrunchIt! output in Figure 23.4gives 2 degrees of freedom for t...
 Chapter 23.23.13: The Minitab output in Figure 23.3 gives thedegrees of freedom for t...
 Chapter 23.23.14: (a) Check the conditions required for both tests, given in the boxe...
 Chapter 23.23.15: Many birds are injured or killed by flying intowindows. It appears ...
 Chapter 23.23.16: (a) The null hypothesis is that all days are equally probable. What...
 Chapter 23.23.17: (a) What percents of each grade did students in the professors sect...
 Chapter 23.23.18: Whats your sign? The University of Chicagos General Social Survey (...
 Chapter 23.23.19: The number of female teenagers in the sample is(a) 4877. (b) 2625. ...
 Chapter 23.23.20: The percent of the females in the sample who responded almost certa...
 Chapter 23.23.21: The percent of the females in the sample who responded almost certa...
 Chapter 23.23.22: The expected count of females who respond almost certain is about(a...
 Chapter 23.23.23: The term in the chisquare statistic for the cell of females who re...
 Chapter 23.23.24: The degrees of freedom for the chisquare test for this twoway tab...
 Chapter 23.23.25: The null hypothesis for the chisquare test for this twoway table ...
 Chapter 23.23.26: The alternative hypothesis for the chisquare test for this twoway...
 Chapter 23.23.27: Software gives chisquare statistic X2 = 69.8 for this table. From ...
 Chapter 23.23.28: The most important fact that allows us to trust the results of the ...
 Chapter 23.23.29: Whos online? A sample survey by the Pew Internet and American Life ...
 Chapter 23.23.30: (a) What percent of each class of child care workers is black?(b) M...
 Chapter 23.23.31: (a) Because the GSS is essentially an SRS of all adults, we can com...
 Chapter 23.23.32: Do you use cocaine? Sample surveys on sensitive issues can give dif...
 Chapter 23.23.33: (a) The table gives the number of drivers in each group and the num...
 Chapter 23.23.34: Did the randomization work? After randomly assigning subjects to tr...
 Chapter 23.23.35: Do you favor or oppose the death penaltyfor persons convicted of mu...
 Chapter 23.23.36: (a) State the null and alternative hypotheses for this investigatio...
 Chapter 23.23.37: 23.39
 Chapter 23.23.38: A sample survey of young adults(aged 19 to 25) asked, What do you t...
 Chapter 23.23.39: What is the most important reason thatstudents buy from catalogs? T...
 Chapter 23.23.40: Where do young adults live? A survey by the National Institutes of ...
 Chapter 23.23.41: How are schools doing? The nonprofit group Public Agenda conductedt...
 Chapter 23.23.42: (a) Is this study an experiment? Explain your answer.(b) The invest...
 Chapter 23.23.43: How do laundry practices (water hardness and wash temperature) infl...
 Chapter 23.23.44: The GSS is essentially an SRS of American adults. Give a 95%confide...
 Chapter 23.23.45: Make a 2 4 table by combining the counts in the three rowsthat ment...
 Chapter 23.23.46: Use the full table to analyze the differences in political partysup...
 Chapter 23.23.47: Read the EESEE story Surgery in a Blanket. Write a report that answ...
 Chapter 23.23.48: Read the EESEE story Trilobite Bites. Write a report that answers Q...
Solutions for Chapter Chapter 23: Two Categorical Variables: The ChiSquare Test
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 23: Two Categorical Variables: The ChiSquare Test
Get Full SolutionsThis textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4. Since 48 problems in chapter Chapter 23: Two Categorical Variables: The ChiSquare Test have been answered, more than 13531 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. Chapter Chapter 23: Two Categorical Variables: The ChiSquare Test includes 48 full stepbystep solutions. The Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785.

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).

Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.

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.

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

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.

Comparative experiment
An experiment in which the treatments (experimental conditions) that are to be studied are included in the experiment. The data from the experiment are used to evaluate the treatments.

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

Continuous uniform random variable
A continuous random variable with range of a inite interval and a constant probability density function.

Control chart
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the incontrol value of the parameter that is being monitored and lower and upper control limits. The control limits are determined by statistical criteria and are not arbitrary, nor are they related to speciication limits. If sample points fall within the control limits, the process is said to be incontrol, or free from assignable causes. Points beyond the control limits indicate an outofcontrol process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.

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.

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

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

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.

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

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.

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

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.

Fractional factorial experiment
A type of factorial experiment in which not all possible treatment combinations are run. This is usually done to reduce the size of an experiment with several factors.