Pearson eText for Probability and Stati...10th EditionRobert Hogg, Elliot Tanis Publisher: PEARSON+ISBN: 9780137538461
Pearson eText for Probability and Stati...
Solutions for Pearson eText for Probability and Statistical Inference -- Instant Access (Pearson+)
Problem 1E:
Let X and Y have the joint pmf f(x,y)=x+y32,x=1,2,y=1,2,3,4. (a) Display the joint prnf and the...Problem 2E:
Let the joint pmf f(x,y) of X and Y be given by the following: Find the two conditional probability...Problem 3E:
Let W equal the weight of laundry soap in a 1-kilogram box that is distributed in Southeast Asia....Problem 4E:
The gene for eye color in a certain male fruit fly has alleles(R,W). The gene for eye color in the...Problem 5E:
Let X and Y have a trinomial distribution with n=2,pX=14, and pY=12. (a) Give E(Yx). (b) Compare our...Problem 6E:
An insurance company sells both homeowners insurance and automobile deductible insurance. Let X be...Problem 7E:
Using the joint pmf from Exercise 4.2-3, find the value of E(Yx) for x = 1,2,3,4. Do the point...Problem 8E:
A fair six-sided die is rolled 30 independent times Let X be the number of ones and Y the number of...Problem 9E:
Let X and Y have a uniform distribution on the set of points with integer coordinates in...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
More Editions of This Book
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
ISBN: 2818000008791
Probability And Statistical Inference
7th Edition
ISBN: 9788177585537
EBK PROBABILITY AND STATISTICAL INFEREN
9th Edition
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
Related Probability Textbooks with Solutions
Still sussing out bartleby
Check out a sample textbook solution.
