# Probability Course Online Free

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## Listing Results Probability course online free

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5 hours agoCollection of free Probability Courses. These free probability courses are collected from MOOCs and online education providers such as Udemy, Coursera, Edx, Skillshare, Udacity, Bitdegree, Eduonix, QuickStart, YouTube and more. Find the free probability tutorials courses and get free training and practical knowledge of probability.

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7 hours agoProbability: Basic Concepts & Discrete Random Variables is a 6-week free online course that covers basic probability formulas, concepts and rules, probability models with discrete random variables and probability models in real-world practice. The second course goes into the most frequently used probability distribution models including

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1 hours agoThe Open & Free versions of the courses includes all expository text, simulations, case studies, interactive learning exercises, and the StatTutor labs, but they omit the scored tests and instructor tools. Both Probability & Statistics and Statistical Reasoning contain all of the instructions for the five statistics packages options we support.

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4 hours agoLearn high school statistics for free—scatterplots, two-way tables, normal distributions, binomial probability, and more. Full curriculum of exercises and videos.

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1 hours agoProbability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you the tools needed to understand data, science, philosophy, engineering, economics, and finance. You will learn not only how to solve challenging technical problems, but also how you can apply those solutions in everyday life.

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6 hours agoLearn statistics and probability for free—everything you'd want to know about descriptive and inferential statistics. Full curriculum of exercises and videos. If you're seeing this message, it means we're having trouble loading external resources on our website.

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4 hours agoWinter 2021/2022 Online Courses at UMass Amherst. E&C-ENG 190D: Making Better Decisions by Humans and AI (4 credits) ECE 597MS - Math Tools for Data Science (3 credits) ECE 603 - Probability & Random Process (3 credits)

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Just NowOnline courses on Coursera can help you learn probability no matter your current level of math skills. Some cover an intuitive approach for beginners, while others look at statistical theories. There are classes that use specific computer languages or that apply to specific industries.

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1 hours agoChoose from hundreds of free Probability and Statistics courses or pay to earn a Course or Specialization Certificate. Probability and statistics courses teach skills in understanding whether data is meaningful, including optimization, inference,

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3 hours agoMath Mammoth Statistics & Probability A worktext with both instruction and exercises, meant for grades 5-7. The book includes lessons on reading and drawing different graphs including circle graphs and stem-and-leaf plots, mean, median, mode, and range, and simple probability.

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9 hours agoTake free online math courses from MIT, ASU, and other leading math and science institutions. Get introductions to algebra, geometry, trigonometry, precalculus and calculus or get help with current math coursework and AP exam preparation. Select a course to learn more. Related Topics - Algebra Calculus Geometry Linear Algebra Logic Pre-Algebra Pre-Calculus Probability

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6 hours agoIntroduction to Probability (on edX) Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. Free*. 10 weeks long. Available now.

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Just Now · Free Probability lessons. Bite-sized learning in minutes. Concepts of sample space, sample points and events. 7min video. Sampling. 20min video. Unordered sampling without replacement. 5min video. Independent and dependent events and conditional probability.

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5 hours agoFREE online course - Learn basics in probability and combinatorics to make good decisions about the occurrence of events. Publisher: ADU. With this free online probability and combinatorics course, master the tools needed to understand probabilities in sports, business and other fields that require you to make sound decisions based on chance.

Rating: 4/5

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3 hours agoOverview. Probability explained Independent and dependent events - Probability with playing cards and Venn diagrams - Addition rule for probability - Finding probability example 2 - Compound probability of independent events - Coin flipping probability - Probability without equally likely events - Getting exactly two heads (combinatorics) - Exactly three heads in five flips - Frequency

Rating: 3.3/5(33)

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Just NowThe tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many fields, from the basic sciences to engineering and management. This resource is a companion site to 6.041SC Probabilistic Systems Analysis and Applied Probability. It covers the same content, using

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5 hours agoAlso offered is a probability and random variables course that offers free use of materials, but doesn't provide credit or communication with instructors. This online course assumes that you have knowledge of multivariable calculus. Another OCW course, fundamentals of probability was originally taught to graduate students at the MIT campus.

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5 hours agoOur free math lessons online are great for teaching a variety of concepts. Online math lessons made easy by Math Goodies.

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1 hours agoHere at Alison, we offer a huge range of free online math courses designed to elevate your math skills. If you’re looking for a condensed math course, we recommend our short certificate courses, like Geometry - Angles, Shapes and Area and Advanced Mathematics. If you’re interested in spending more time on the subject, we recommend our

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4 hours agoFree Online Statistics Course. This Free Online Statistics Course includes a comprehensive course with HD video tutorials and Lifetime Access with certification. You get to learn the essentials of Statistics for Data analytics. We would understand random numbers, variables and types, different graphical techniques and various sampling techniques.

Rating: 5/5(29)
Hours: 1+ Video Hours
Course Name: Online Free Statistics Certification Course

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7 hours agoFree, unlimited access to lessons. Don't ever be stuck watching another boring 10-minute video again — you learn best by doing, not watching.. Our unique interactive lessons cover math subjects ranging from algebra, geometry, and trigonometry to precalculus and calculus.

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Just NowProbability Games In the classroom, or at home, students can have an informative educational experience playing probability games online. Probability games are colorful, enticing, catch the attention of the children, and propel them toward predicting and solving probability problems.

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2 hours ago

1. Math for Middle Schoolers: Statistics. 4.2/5. Free. Understand the different statistics topics generally taught in middle school. Learn More.
2. Why Numbers Matter – Online Course. 4.9/5. Free. Learn how to use quantitative research to make difficult decisions and solve real-world problems. Learn More.
3. Time Series Analysis. 4.6/5. Free. Time series models with real data examples using the R statistical software. Learn More.
4. Capstone Exam in Statistics and Data Science. 4.6/5. Free. Probability, data analysis, statistics, and machine learning in this culminating assessment. Learn More.
5. Data Science: Probability. 3.9/5. Free. Gain important foundational knowledge in probability theory, essential for a data scientist. Learn More.
6. Fat Chance: Probability from the Ground Up. 4.6/5. Free. Deeper understanding of probability and statistics. Learn More.
7. I “Heart” Stats: Learning to Love Statistics. 4.6/5. Free. Get to know stats, build a healthy bond, and maybe even fall in love! Learn More.
8. Fundamentals of Statistics. 4.2/5. Free. Understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction.
9. Data Science: Linear Regression. 4.8/5. Free. Learn how to use R to implement linear regression in data science. Learn More.
10. Introduction to Probability – The Science of Uncertainty. 4.1/5. Free. Probabilistic models, including random processes and the basic elements of statistical inference.

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9 hours ago

1. Machine Learning. Offered By. Coursera Course. Course Rating. Pricing. Link. Rated 4.9 out of 5 of 100074 ratings. Deep Learning. Rated 4.9 out of 5 of 50689 ratings.
2. Algorithms. Offered By. Coursera Course. Course Rating. Pricing. Link. Data Structures and Algorithms. Rated 4.7 out of 5 of 4369 ratings. Rated 4.8 out of 5 of 2521 ratings.
3. Data Analysis. Offered By. Coursera Course. Course Rating. Pricing. Link. Data Science. Rated 4.5 out of 5 of 18701 ratings. IBM Data Science Professional Certificate.
4. Probability and Statistics. Offered By. Coursera Course. Course Rating. Pricing. Link. Statistics with R. Rated 4.7 out of 5 of 2905 ratings. Business Statistics and Analysis.
5. Mobile and Web Development. Offered By. Coursera Course. Course Rating. Pricing. Link. Web Design for Everybody (Basics of Web Development and Coding) Rated 4.7 out of 5 of 7692 ratings.
6. Software Development. Offered By. Coursera Course. Course Rating. Pricing. Link. Python for Everybody. Rated 4.8 out of 5 of 55535 ratings. Data Engineering on Google Cloud Platform.
7. Computer Security and Networks. Offered By. Coursera Course. Course Rating. Pricing. Link. Cloud Computing. Rated 4.5 out of 5 of 681 ratings. Applied Cryptography.
8. Business Essentials. Offered By. Coursera Course. Course Rating. Pricing. Link. Business Foundations. Rated 4.7 out of 5 of 6092 ratings. Excel Skills for Business.
9. Business Strategy. Offered By. Coursera Course. Course Rating. Pricing. Link. AI For Everyone. Rated 4.8 out of 5 of 2104 ratings. Digital Transformation in Financial Services.
10. Marketing. Offered By. Coursera Course. Course Rating. Pricing. Link. Digital Marketing. Rated 4.6 out of 5 of 5219 ratings. Search Engine Optimization (SEO)

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7 hours agoCredits. 3.00. STAT 414 focuses on the theory of introductory probability. The course goals are: To learn the theorems of basic probability. To learn applications and methods of basic probability. To develop theoretical problem-solving skills.

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6 hours agoProbability is the study of chance or the likelihood of an event happening. Directly or indirectly, probability plays a role in all activities. For example, we may say that it will probably rain today because most of the days we have observed were rainy days. However, in mathematics, we would require a more accurate way of measuring probability

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4 hours agoDescription. Probability management is the discipline of communicating and calculating uncertainties as auditable data arrays called Stochastic Information Packets or SIPs. This course provides a basic introduction to the subject. This course assumes that you are comfortable with Microsoft Excel, but you do not need training in statistics.

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3 hours ago

1. Statistics and Data Science Micromaster Certification by MIT (edX) Comprising of four online courses this MicroMasters program will guide you to gain the foundational knowledge required for understanding the methods and tools used in data science and get hands-on with machine learning and data analysis.
2. Statistics Certification with R from Duke University (Coursera) Demystify data in R, build analysis reports, learn Bayesian statistical inference and modeling in this program by Duke University.
3. Data Science Course from Johns Hopkins University (Coursera) This is a comprehensive course that covers all aspects of data science. The statistics part of this program will help you learn about Statistical inference, the process of drawing conclusions from data.
4. Methods and Statistics Course Online by University of Amsterdam (Coursera) In this statistics course online, you will learn to identify and ask interesting questions, analyze data sets and interpret results accurately to make solid evidence-based decisions.
5. Probability-The Science of Uncertainty and Data by MIT (edX) The program covers topics like the laws of large numbers, Poisson processes, and Markov chains.
6. Business Statistics Certification from Rice University (Coursera) This program is meant for all those who are interested in comprehending business data analysis tools and techniques.
7. Bayesian Statistics Certification Course Part 1 : From Concept to Data Analysis. This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data.
8. Bayesian Statistics Certification Course Part 2 : Techniques and Models. The second course in the series builds on the first part and helps you go deeper in this domain.
9. Workshop in Probability and Statistics Course Online (Udemy) George Ingersoll is the Associate Dean of Executive MBA Programs at the UCLA Anderson School of Management.
10. Online Statistics Course for Business Analytics A-Z™ (Udemy) Kirill Eremenko is an expert trainer on Data Science! He has taught 400,000+ students so far and enjoys an average rating of 4.5 from his students!

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7 hours agoToday, probability theory is a wellestablished branch of mathematics that finds applications in every area of scholarlyactivity from music to physics, and in daily experience from weather prediction topredicting the risks of new medical treatments. This text is designed for an introductory probability course taken by sophomores,juniors, and

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5 hours ago

1. Mathematical Fundamentals (Brilliant) I have to start our list with Brilliant.org. They are pretty new to the game, but they are changing how kids and adults can learn math online.
2. Learning Everyday Math (LinkedIn Learning) Mental math, or in other words, doing quick calculations in your head without using a calculator, smartphone, or pen and paper, is what this course is all about.
3. Quickly Master Basic Math Course (Udemy) If you wish to better your understanding of basic math, then this beginner-level course is a great place to start!
4. Master the Fundamentals of Math (Udemy) Next on my list is another great Udemy course that is more than a beginner level but not too advanced. So for those looking for a bit more of a challenge, this is a great place to start!
5. Introduction to Mathematical Thinking (Coursera) Coursera hosts this advanced online math course, and the class itself is from Stanford University. So for those looking to acquire skills from one of the most prestigious universities in the world, this might be the course for you!
6. Quickly Master Pre Algebra (Skillshare) Algebra makes many people nervous, but it’s an essential skill in many business situations. In addition to making it easy to face the problems in your math class, you use algebra when figuring out interest on loans, calculating materials used for construction projects, and even in photography.
7. Probability – The Science of Uncertainty and Data (edX) MIT is one of the biggest names in science and technology education, and it’s a little challenging to get accepted into the school.
8. Complete High Speed Vedic Math Course (Udemy) One of the mental math disciplines, High-Speed Vedic Math, is designed to speed up your mental calculations and let you tackle more difficult and involved equations.
9. Math Courses (edX) The instruction available through edX is college-level teaching from various major universities. Among the universities involved are UT Texas, Harvard, MIT, ASU, and companies such as Microsoft and Delft.
10. Eighth Grade Map (Khan Academy) Khan Academy is a learning resource for the arts, sciences, and mathematics. It is available in grade levels from beginning to beyond college.

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5 hours agoECE 603 - Probability & Random Process (3 credits) Online Course Dec 17, 2021 - Jan 24, 2022, Enroll Now Instructor: Hossein Pishro-Nik This course is offered online and is a graduate-level version of ECE 214. It covers chapters 1 to 7 and 10 & 11 of the textbook.

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9 hours agoFree Online College Math Courses for Credit in 2021. Online college classes are becoming popular for non-traditional university education. As the advancement of the internet grows at an exponential rate, so does the demand for the web-based school environment. Students are becoming comfortable with the idea of studying anywhere on flexible

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Just NowCourse Summary Learn or review calculus-based probability and statistics with Calculus-Based Probability & Statistics. In this course, you'll review engaging math lessons and practice quizzes that

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3 hours agoOnline course of statistics Many statistical theorems can be addressed during your course. In addition, you will be able to register for several MOOC courses if you notice that certain subjects are not taught in the curriculum that you have initially chosen.

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7 hours agoStanford's "Introduction to Statistics" teaches you statistical thinking concepts that are essential for learning from data and communicating insights. By the end of the course, you will be able to perform exploratory data analysis, understand key principles of sampling, and select appropriate tests of significance for multiple contexts. You will gain the foundational skills that prepare you

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9 hours ago

1. Statistics with R Specialisation by Coursera (Duke University) Duration: 10 weeks. Background needed: Basic math, no programming experience required.
2. Intro to Statistics by Udacity (Stanford University) Duration: 8 weeks. Background needed: Introductory course, no experience required.
3. Statistical Learning by Stanford University. Duration: 10 weeks. Background needed: Basic knowledge of statistics, linear algebra, and computing.
4. Introduction to R by Leada. Duration: Self Paced. Background needed: Introductory course, no experience required.
5. Statistics: The Science of Decisions by Udacity (San Jose State University) Duration: Self Paced; approximately 4 months. Background needed: Basic understanding of proportions (fractions, decimals, and percentages), negative numbers, basic algebra (solving equations), and exponents and square roots.
6. Introduction to Probability Theory by Saylor. Duration: Self Paced. Background needed: Completed courses in single-variable and multi-variable calculus, linear algebra, and differential equations, or equivalents.
7. Statistical Thinking for Data Science and Analytics by EDX (Columbia University) Duration: 5 weeks. Background needed: Introductory course, no experience required.
8. Foundations of Data Analysis - Part 1: Statistics Using R by EDX (University of Texas) Duration: 6 weeks. Background needed: Introductory course, no experience required.
9. Learning from Data - Caltech. Duration: Self Paced. Background needed: Introductory course, no experience required. Also Interesting. Keep Connected. The Top Apps for Economists.

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4 hours agoThis Probability and Statistics course will teach you counting methods, probability, descriptive statistics, graphs of data, the normal distribution curve, statistical inference, and linear regression. Your skills and knowledge will be put to the test through regular online and offline assessments and discussions.

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1 hours agoFind all the latest Free Online Statistics & Probability MOOC Courses. Learn anytime, anywhere, and get a verified certificate. Estadística Aplicada a los Negocios is online course offered by Galileo University via edX.

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7 hours ago · About this Course. Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics. Watch Trailer.

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1 hours agoThis is one of over 2,400 courses on OCW. Explore materials for this course in the pages linked along the left. MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum. No enrollment or registration. Freely browse and use OCW materials at your own pace.

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8 hours agoMITx Courses. Anyone can learn for free from MITx courses. They are open to learners worldwide and have already reached millions. Earning a certificate of completion costs a low fee and may entail completing additional assessments. MITx courses are delivered through the …

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2 hours ago · how become a probability & statistics master is set up to make complicated math easy: This 163-lesson course includes video and text explanations of everything from Probability and Statistics, and it includes 45 quizzes (with solutions!) and an additional 8 workbooks with extra practice problems, to help you test your understanding along the way.

Rating: 4.7/5(7.7K)

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5 hours agoCourses for many common high school math subjects are available online. Learn about the different types of courses offered, the benefits of each, and how these courses are useful for a variety of

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6 hours ago

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4 hours ago

Rating: 9.1/10(1)
1. Author: Expert Panel
Published: Mar 23, 2018
2. Statistics with R Specialization by University of Duke- Coursera. David Banks, Merlise A Clyde, Mine Cetinkaya-Rundel and Merlise A Clyde are the team who will teach you about statistics by using R course.
3. Workshop in Probability and Statistics – Udemy. George Ingersoll is an instructor on Udemy. He will teach about quantitative subjects. He was trained 20K+ students.
4. Become a Probability & Statistics Master – Udemy. Krista king is an instructor on Udemy and she is also having good knowledge on math. She will also teach about advanced topics of calculus.
5. Learn Probability and Statistics in an easy way – Udemy. Sri and Ramya T are the instructor on Udemy. On teaching sri is having 5 years experience. She will teach about different subjects with high quality content.
6. Statistics Made Easy by Example for Analytics/ data science – Udemy. Gopal Prasad Malakar is a machine learning, data science trainer and also an instructor on Udemy.

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7 hours ago

1. Statistics for Data Science and Business AnalysisThis is one of the best courses to learn the fundamentals of
2. Mathematics for Machine Learning SpecializationFor a lot of higher courses in Machine Learning and Deep
3. Become a Probability and Statistics MasterThis is one of the most focused courses on Probability and Statistics
4. Statistics with R SpecializationThis is another awesome resource for Data Scientist on Coursera. In

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6 hours agoJoin Dr. William Murray in his Introduction to Probability online course where every lesson begins with a clear overview of formulas followed by step-by-step examples. Dr. Murray focuses on the understanding and application of formulas rather than …

Category: College/School > Mathematics > Probability

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Just NowAnswer (1 of 12): Here is a recently launched online course on Probability and Statistics taught by Harvard Faculty - This course will introduce you to the discipline of statistics as a science of understanding and analyzing data. If you want to simultaneously learn R and applied statistics, you

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## New Online Courses

### Which universities offer online statistics courses?

If you want to learn statistics for professional or personal reasons and lack the time to attend a traditional course in a classroom setting, you may want to find an online statistics course. Several universities offer coursework in this area, including Colorado State University, Purdue University and the University of North Carolina Online.

### What is introduction in statistics?

Introductory Statistics is designed for a one- or two-semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. This course makes the subject of statistics interesting and accessible to a wide and varied audience by providing realistic content in examples.

### What is course in statistics?

An applied statistics course is generally intended for individuals majoring in the natural sciences, mathematics, or secondary math education. Students manipulate data and estimate the probability of an event occurring.

### How is probability used in statistics?

Probability is used in mathematical statistics to study the sampling distributions of sample statistics and, more generally, the properties of statistical procedures. The use of any statistical method is valid when the system or population under consideration satisfies the assumptions of the method.