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:
If Z is N(0,1), find (a) P(0.47Z2.13). (b) P(0.97Z1.27). (c) P(Z1.56) (d) P(Z2.78). (e) P(|Z|1.96))....Problem 2E:
If Z is N(0,1), find (a) P(0Z0.78). (b) P(2.46Z0). (c) P(2.31Z0.65). (d) P(|Z|1.93). (e) P(Z1.26)....Problem 3E:
If Z is N(0,1), find values of c such that (a) P(Zc)=0.025. (b) P(|Z|c)=0.95. (c) P(Zc)=0.05. (d)...Problem 5E:
If X is normally distributed with a mean of 6 and a variance of 25, find (a) P(6X14). (b) P(4X14).....Problem 6E:
If the moment-generating function of X is M(t)=exp(166t+200t2),t, find (a) The mean of X. (b) The...Problem 10E:
If X is N(,2) show that Y=aX+b is N(a,+b,a22),a0, HINT: Find the cdf P(Yy) of Y, and in the...Problem 11E:
A candy maker produces mints that have a label weight of 20.4 grams. Assume that the distribution of...Problem 13E:
The serum zinc level X in micrograms per deciliter for males between ages 15 and 17 has a...Problem 14E:
The strength X of a certain material is such that its distribution is found by X=eY, where Y is...Problem 15E:
The fill problem is important in many industries, such as those making cereal, toothpaste, beer, and...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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Probability and Statistical Inference
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Probability And Statistical Inference, Books A La Carte Edition (8th Edition)
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Probability And Statistical Inference, Global Edition
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