 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 7700 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.

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

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

Bivariate normal distribution
The joint distribution of two normal random variables

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

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

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

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

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.

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).

Cumulative normal distribution function
The cumulative distribution of the standard normal distribution, often denoted as ?( ) x and tabulated in Appendix Table II.

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 concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Density function
Another name for a probability density function

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

Dispersion
The amount of variability exhibited by data

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

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

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

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