- ISBN
- Author(s)
- Language
- Publisher
- Edition
- Edition
Essentials of Mathematical Statistics notes
Brian Albright - ISBN: 9781449685348
- ISBN
- Author(s)
- Language
- Publisher
- Edition
- Edition
View all 23 revision notes of Essentials of Mathematical Statistics, written by Brian Albright. All Essentials of Mathematical Statistics notes, summaries, flashcards and study guides are written by fellow students or tutors. Get yourself a Essentials of Mathematical Statistics summary or other study material that matches your study style perfectly, and studying will be a breeze.
Best selling Essentials of Mathematical Statistics notes
Final exam review. In depth, step by step solving Goodness of Fit, Test of Independence, covariance, correlation. quantile-quantile (QQ) plot, and hypothesis testing for two means.
- Lecture notes
- • 3 pages •
Final exam review. In depth, step by step solving Goodness of Fit, Test of Independence, covariance, correlation. quantile-quantile (QQ) plot, and hypothesis testing for two means.
Finals review part 1. In depth, step by step solutions for Bayes theorem, normal distributions, functions of continuous random variables, hypothesis testing for comparing two proportions, 
and moment generating functions (MGF)
- Lecture notes
- • 2 pages •
Finals review part 1. In depth, step by step solutions for Bayes theorem, normal distributions, functions of continuous random variables, hypothesis testing for comparing two proportions, 
and moment generating functions (MGF)
In depth, step by step solutions for quantile-quantile (QQ) plots, hypothesis testing, and hypothesis testing about means.
- Lecture notes
- • 3 pages •
In depth, step by step solutions for quantile-quantile (QQ) plots, hypothesis testing, and hypothesis testing about means.
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
In depth, step by step solutions for continuous random variables, uniform distributions, exponential distributions, and normal distributions. Comprehensive solutions and analysis with charts and definitions.
- Lecture notes
- • 3 pages •
In depth, step by step solutions for continuous random variables, uniform distributions, exponential distributions, and normal distributions. Comprehensive solutions and analysis with charts and definitions.
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
- Lecture notes
- • 4 pages •
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
In depth, step by step solutions for discrete random variable and probability mass function. Provides numerous problems with comprehensive analysis, solutions, formulas, definitions and visual representation.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for discrete random variable and probability mass function. Provides numerous problems with comprehensive analysis, solutions, formulas, definitions and visual representation.
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
- Lecture notes
- • 6 pages •
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
Introduction to Probability and Statistics. Basic probability concepts and theorems.
- Lecture notes
- • 5 pages •
Introduction to Probability and Statistics. Basic probability concepts and theorems.
Do you have documents that match this book? Sell them and earn money with your knowledge!
Newest Essentials of Mathematical Statistics summaries
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for summarizing data problems and sampling distributions. Shows answers for multiple problems as histograms, tables, and box plots. Provides theorems and formulas with definitions for each variable and every step.
Lists and defines basic statistic terminology, such as types of studies, sampling methodologies, types of measurements, random and simple random sampling. Step by step solutions for summarizing data problems, portraying answers in charts and histograms.
- Lecture notes
- • 6 pages •
Lists and defines basic statistic terminology, such as types of studies, sampling methodologies, types of measurements, random and simple random sampling. Step by step solutions for summarizing data problems, portraying answers in charts and histograms.
In depth, step by step solutions for continuous random variables. Introduces basic concepts and definitions for continuous random variable distributions. Includes numerous tables and definitions for comprehensive solutions and analysis.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for continuous random variables. Introduces basic concepts and definitions for continuous random variable distributions. Includes numerous tables and definitions for comprehensive solutions and analysis.
Test 1 review. This review analyzes concepts such as independent events, mean and variance, probability mass functions, and moment generating functions. Full step by step solutions for the topics listed.
- Lecture notes
- • 4 pages •
Test 1 review. This review analyzes concepts such as independent events, mean and variance, probability mass functions, and moment generating functions. Full step by step solutions for the topics listed.
In depth, step by step solutions for functions of random variables, functions of discrete random variables and moment generating functions. Provides comprehensive analysis with complete solutions and theorems.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for functions of random variables, functions of discrete random variables and moment generating functions. Provides comprehensive analysis with complete solutions and theorems.
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
- Lecture notes
- • 4 pages •
In depth, step by step solutions for probability mass functions, Poisson distribution, mean and variance. Provides comprehensive steps, solutions, formulas and theorems.
In depth, step by step solutions for probability mass functions, hypergeometric distributions, binomial distributions, Bernoulli definition, Poisson distribution and unusual event principle. Provides numerous problems with full solution, formulas and definitions.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for probability mass functions, hypergeometric distributions, binomial distributions, Bernoulli definition, Poisson distribution and unusual event principle. Provides numerous problems with full solution, formulas and definitions.
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
- Lecture notes
- • 6 pages •
In depth, step by step solutions for basic probability counting problems, axioms of probability, the addition rule, conditional probability and multiplication rule. Provides numerous examples, theorems, definitions, and comprehensive analysis of examples and problems.
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
- Lecture notes
- • 5 pages •
In depth, step by step solutions for basic probability concepts, distribution tables, counting problems, fundamental counting principles, factorials, and binomial theorem.
Introduction to Probability and Statistics. Basic probability concepts and theorems.
- Lecture notes
- • 5 pages •
Introduction to Probability and Statistics. Basic probability concepts and theorems.
Do you have documents that match this book? Sell them and earn money with your knowledge!
Why study with the book summaries on Stuvia?
Relevance, efficiency and convenience. These are important elements when studying or preparing for a course or exam. Studying with the help of book summaries, which are linked to the ISBN number of your (study) book, is more relevant than ever. Your fellow students or tutors are sharing their knowledge to help you prepare for your exams. Find the ISBN number of your book and you'll be sure to buy the right summary. That way you won't be faced with surprises during your exams.
All summaries on Stuvia are written by students who have already taken the exam, lecturers who teach the study material or professional publishers. As a result, you can be confident that you will understand the course material more easily and that the summary contains all elements that are tested in the exam. Find the book you need to study by its ISBN and choose the best textbook summary.