 111.1: Are the variables quantitative or qualitative?
 111.2: What type of test can be used to compare the observed values to the...
 111.3: Perform a chisquare test on the total values.
 111.4: What hypotheses did you use?
 111.5: What were the degrees of freedom for the test? What is the critical...
 111.6: What is your conclusion?
 111.1: How does the goodnessoffit test differ from the chisquare varian...
 111.2: How are the degrees of freedom computed for the goodnessoffit test?
 111.3: How are the expected values computed for the goodnessoffit test?
 111.4: When the expected frequencies are less than 5 for a specific class,...
 111.5: HomeSchooled Student Activities Students who are homeschooled oft...
 111.6: Combatting Midday Drowsiness A researcher wishes to see if the five...
 111.7: In a recent study, the following percentages of U.S. retail car sal...
 111.8: OnTime Performance by Airlines According to the Bureau of Transpor...
 111.9: Genetically Modified Food An ABC News poll asked adults whether the...
 111.10: Blood Types Human blood is grouped into four types: A, B, AB, and O...
 111.11: Credit Union Loans USA TODAY reported that 21% of loans granted by ...
 111.12: Ages of Head Start Program Students The Head Start Program provides...
 111.13: Payment Preference A USA TODAY Snapshot states that 53% of adult sh...
 111.14: Federal Prison Populations The population distribution of federal p...
 111.15: Internet Users A survey was targeted at determining if educational ...
 111.16: Education Level and Health Insurance A researcher wishes to see if ...
 111.17: Paying for Prescriptions A medical researcher wishes to determine i...
 111.18: Tossing Coins Three coins are tossed 72 times, and the number of he...
 111.19: State Lottery Numbers Select a threedigit state lottery number ove...
Solutions for Chapter 111: Other ChiSquare Tests
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 111: Other ChiSquare Tests
Get Full SolutionsElementary Statistics: A Step by Step Approach was written by and is associated to the ISBN: 9780073534978. Since 25 problems in chapter 111: Other ChiSquare Tests have been answered, more than 30456 students have viewed full stepbystep solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7. Chapter 111: Other ChiSquare Tests includes 25 full stepbystep solutions.

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

Bayes’ theorem
An equation for a conditional probability such as PA B (  ) in terms of the reverse conditional probability PB A (  ).

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).

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.

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data

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.

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

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 matrix
A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the offdiagonal elements rij are the correlations between Xi and Xj .

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

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

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

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.

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.

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

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.

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.

Gamma function
A function used in the probability density function of a gamma random variable that can be considered to extend factorials