Solutions for Pearson eText for Probability and Statistical Inference -- Instant Access (Pearson+)
Problem 1E:
Let X and Y have a bivariate normal distribution with parameters X=3,Y=10,X2=25,Y2=9 and =35....Problem 2E:
Show that the expression in the exponent of Equation 4.5-2 is equal to the function q(x,y) given in...Problem 3E:
Let X and Y have a bivariate normal distribution with parameters x=2.8,y=110,x2=0.16,y2=100, and...Problem 4E:
Let X and Y have a bivariate normal distributionX=70,X2=100,Y=80,Y2=169, and =513. Find (a)...Problem 5E:
Let X denote the height in centimeters and Y the weight in kilograms of male college students....Problem 6E:
For a freshman taking introductory statistics and majoring in psychology, let X equal the students...Problem 7E:
For a pair of gallinules, let X equal the weight in grams of the male and Y the weight in grams of...Problem 8E:
Let X and Y have a bivariate normal distribution with parameters X=8,X2=9Y=8,Y2=16, and =0. Find (a)...Problem 9E:
Let X and Y have a bivariate normal distribution. Find two different lines, a(x) and b(x), parallel...Problem 10E:
In a college health fitness program, let X denote the weight in kilograms of a male freshman at the...Browse All Chapters of This Textbook
Chapter 1.1 - Properties Of ProbabilityChapter 1.2 - Methods Of EnumerationChapter 1.3 - Conditional ProbabilityChapter 1.4 - Independent EventsChapter 1.5 - Bayes’ TheoremChapter 2.1 - Random Variables Of The Discrete TypeChapter 2.2 - Mathematical ExpectationChapter 2.3 - Special Mathematical ExpectationsChapter 2.4 - The Binomial DistributionChapter 2.5 - The Hypergeometric Distribution
Chapter 2.6 - The Negative Binomial DistributionChapter 2.7 - The Poisson DistributionChapter 3.1 - Random Variables Of The Continuous TypeChapter 3.2 - The Exponential, Gamma, And Chi-square DistributionsChapter 3.3 - The Normal DistributionChapter 3.4 - Additional ModelsChapter 4.1 - Bivariate Distributions Of The Discrete TypeChapter 4.2 - The Correlation CoefficientChapter 4.3 - Conditional DistributionsChapter 4.4 - Bivariate Distributions Of The ContinuoustypeChapter 4.5 - The Bivariate Normal DistributionChapter 5.1 - Functions Of One Random VariableChapter 5.2 - Transformations Of Two Random VariablesChapter 5.3 - Several Independent Random VariablesChapter 5.4 - The Moment-generating Function TechniqueChapter 5.5 - Random Functions Associated With Normal DistributionsChapter 5.6 - The Central Limit TheoremChapter 5.7 - Approximations For Discrete DistributionsChapter 5.8 - Chebyshev’s Inequality And Convergence In ProbabilityChapter 5.9 - Limiting Moment-generating FunctionsChapter 7.2 - Confidence Intervals For The Difference Of Two MeansChapter 8.1 - Tests About One Mean
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Corresponding editions of this textbook are also available below:
Probability and Statistical Inference
8th Edition
ISBN: 9780321584755
Probability And Statistical Inference, Books A La Carte Edition (8th Edition)
8th Edition
ISBN: 9780321656711
PROBABILITY+STATISTICAL INFERENCE ACCESS
5th Edition
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Probability And Statistical Inference
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EBK PROBABILITY AND STATISTICAL INFEREN
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ISBN: 8220100802805
Probability and Statistical Inference (9th Edition)
9th Edition
ISBN: 9780321923271
EBK PROBABILITY AND STATISTICAL INFEREN
9th Edition
ISBN: 9780100802803
Probability And Statistical Inference, Global Edition
9th Edition
ISBN: 9781292062358
EBK PROBABILITY AND STATISTICAL INFEREN
9th Edition
ISBN: 9780321920294
Probability And Statistical Inference (10th Edition)
10th Edition
ISBN: 9780135189399
EBK PROBABILITY+STATISTICAL INFERENCE
10th Edition
ISBN: 9780135189474
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