 14.14.1: What conclusion would be appropriate for an uppertailed chisquare...
 14.14.2: Say as much as you can about the Pvalue for an uppertailed chisq...
 14.14.3: A statistics department at a large university maintains a tutoring ...
 14.14.4: It is hypothesized that when homing pigeons are disoriented in a ce...
 14.14.5: An information retrieval system has ten storage locations. Informat...
 14.14.6: Sorghum is an important cereal crop whose quality and appearance co...
 14.14.7: Criminologists have long debated whether there is a relationship be...
 14.14.8: The article Psychiatric and Alcoholic Admissions Do Not Occur Dispr...
 14.14.9: The response time of a computer system to a request for a certain t...
 14.14.10: a. Show that another expression for the chisquared statistic is2 k...
 14.14.11: a. Having obtained a random sample from a population, you wish to u...
 14.14.12: Consider a large population of families in which each family has ex...
 14.14.13: A study of sterility in the fruit fly (Hybrid Dysgenesis in Drosoph...
 14.14.14: The article Feeding Ecology of the RedEyed Vireo and Associated Fo...
 14.14.15: A certain type of flashlight is sold with the four batteries includ...
 14.14.16: In a genetics experiment, investigators looked at 300 chromosomes o...
 14.14.17: An article in Annals of Mathematical Statistics reports thefollowin...
 14.14.18: The article A Probabilistic Analysis of Dissolved Oxygen Biochemica...
 14.14.19: Each headlight on an automobile undergoing an annual vehicle inspec...
 14.14.20: The article Compatibility of Outer and Fusible Interlining Fabrics ...
 14.14.21: The article from which the data in Exercise 20 was obtained also ga...
 14.14.22: The following data set consists of 25 observations on fracture toug...
 14.14.23: The article Nonbloated Burned Clay Aggregate Concrete (J. Materials...
 14.14.24: The accompanying twoway table was constructed using data in the ar...
 14.14.25: The accompanying data refers to leaf marks found on white clover sa...
 14.14.26: The following data resulted from an experiment to study the effects...
 14.14.27: The article Human Lateralization from Head to Foot: SexRelated Fac...
 14.14.28: The article Susceptibility of Mice to Audiogenic SeizureIs Increase...
 14.14.29: The accompanying data on sex combinations of two recombinantsresult...
 14.14.30: Three different design configurations are being considered for a pa...
 14.14.31: A random sample of individuals who drive alone to work in a large m...
 14.14.32: Each individual in a random sample of high school and college stude...
 14.14.33: Show that the chisquared statistic for the test of independence ca...
 14.14.34: Suppose that in Exercise 32 each student had been categorized with ...
 14.14.35: Suppose that in a particular state consisting of four distinct regi...
 14.14.36: Consider the accompanying 2 3 table displaying the sample proportio...
 14.14.37: The article Birth Order and Political Success (Psych. Reports, 1971...
 14.14.38: The results of an experiment to assess the effect of crude oil on f...
 14.14.39: Qualifications of male and female head and assistant college athlet...
 14.14.40: The authors of the article Predicting Professional Sports Game Outc...
 14.14.41: The accompanying twoway frequency table appears in the article Mar...
 14.14.42: In a study of 2989 cancer deaths, the location of death (home, acut...
 14.14.43: In a study to investigate the extent to which individuals are aware...
 14.14.44: Many shoppers have expressed unhappiness because grocery stores hav...
 14.14.45: Let p1 denote the proportion of successes in a particular populatio...
 14.14.46: The NCAA basketball tournament begins with 64 teams that are apport...
 14.14.47: Have you ever wondered whether soccer players suffer adverse effect...
 14.14.48: Do the successive digits in the decimal expansion of behave as thou...
 14.14.49: b. Estimate the true average number of concussions among college so...
Solutions for Chapter 14: GoodnessofFit Tests and Categorial Data Analysis
Full solutions for Probability and Statistics for Engineering and the Sciences (with Student Suite Online)  7th Edition
ISBN: 9780495382171
Solutions for Chapter 14: GoodnessofFit Tests and Categorial Data Analysis
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Chapter 14: GoodnessofFit Tests and Categorial Data Analysis includes 49 full stepbystep solutions. Since 49 problems in chapter 14: GoodnessofFit Tests and Categorial Data Analysis have been answered, more than 20711 students have viewed full stepbystep solutions from this chapter. This textbook survival guide was created for the textbook: Probability and Statistics for Engineering and the Sciences (with Student Suite Online), edition: 7. Probability and Statistics for Engineering and the Sciences (with Student Suite Online) was written by and is associated to the ISBN: 9780495382171.

`error (or `risk)
In hypothesis testing, an error incurred by rejecting a null hypothesis when it is actually true (also called a type I error).

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).

Biased estimator
Unbiased estimator.

Categorical data
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.

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.

Central limit theorem
The simplest form of the central limit theorem states that the sum of n independently distributed random variables will tend to be normally distributed as n becomes large. It is a necessary and suficient condition that none of the variances of the individual random variables are large in comparison to their sum. There are more general forms of the central theorem that allow ininite variances and correlated random variables, and there is a multivariate version of the theorem.

Coeficient of determination
See R 2 .

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

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

Contour plot
A twodimensional graphic used for a bivariate probability density function that displays curves for which the probability density function is constant.

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

Defectsperunit control chart
See U chart

Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

Discrete random variable
A random variable with a inite (or countably ininite) range.

Dispersion
The amount of variability exhibited by data

Distribution free method(s)
Any method of inference (hypothesis testing or conidence interval construction) that does not depend on the form of the underlying distribution of the observations. Sometimes called nonparametric method(s).

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.

Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

Gaussian distribution
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications