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Acquire knowledge of Probability & Statistics and assess your understanding through over 600 practice questions.

This course covers:

This 14.5-hour on-demand video course will provide you with the opportunity to become a Probability & Statistics master. The course contains 76 articles and 134 downloadable resources that cover the essentials of Probability & Statistics. You’ll gain full lifetime access to the course, allowing you to learn at your own pace and access the content whenever you have time. This course is flexible as you can access it on mobile and TV as well as your computer. You’ll be awarded a certificate of completion when you finish the course and will have assessed your understanding through over 600 practice questions.

What you'll learn

Data visualization techniques include various types of graphs such as bar graphs, pie charts, Venn diagrams, histograms, and dot plots.

Data analysis involves calculating measures such as mean, median, and mode, as well as examining range, IQR, and creating box-and-whisker plots.

The topic covers data distributions, including mean, variance, and standard deviation, as well as normal distributions and z-scores.

The topic being discussed is probability, specifically the concept of union versus. The topics covered include intersection, independent and dependent events, and Bayes' theorem.

The following are examples of discrete random variables: binomial, Bernoulli, Poisson, and geometric random variables.

The topics covered include sampling methods, bias, and the distribution of sample means or proportions, as well as confidence intervals.

The process of hypothesis testing involves various components such as inferential statistics, significance level, type I and II errors, test statistics, and p-values.

The topic of discussion includes regression analysis techniques such as scatterplots, correlation coefficient, residual, coefficient of determination, RMSE, and chi-square.

About Instructor

My name is Krista King, and I’m a probability and statistics master.

I have a unique way of breaking down the most important concepts in probability and statistics so that anyone can understand them. Whether it’s understanding the different types of data distributions or interpreting complex confidence intervals—I make sure that my students walk away with complete mastery of these topics.

Requirements

Proficiency in basic arithmetic operations involving whole numbers, such as addition, subtraction, multiplication, and division, is recommended.

A good foundation in basic algebraic operations and simple equation solving is recommended.

The course on probability and statistics requires only basic knowledge of arithmetic and algebra, so having this foundation will be sufficient for solving the problems.

Description

The program "How to Become a Probability & Statistics Master" aims to simplify complex mathematical concepts.

The course consists of 163 lessons that cover Probability and Statistics, including video and text explanations. It also includes 45 quizzes with solutions and 8 workbooks with extra practice problems to test your understanding. The course "Become a Probability & Statistics Master" is divided into the following sections.

Data can be visualized through a variety of methods, such as bar graphs, pie charts, Venn diagrams, histograms, and dot plots.

The process involves analyzing various statistical measures, such as mean, median, mode, range, IQR, and box-and-whisker plots.

The topics covered include data distributions, mean, variance, standard deviation, normal distributions, and z-scores.

The topic being discussed is probability, specifically the concept of union versus. The topics covered include intersection, independent and dependent events, and Bayes' theorem.

Discrete random variables encompass various types such as binomial, Bernoulli, Poisson, and geometric random variables.

The topic covers sampling methods, different types of studies, potential biases, the sampling distribution of sample means or proportions, and the concept of confidence intervals.

The topic of hypothesis testing includes inferential statistics, significance levels, type I and II errors, test statistics, and p-values.

The topic of regression includes various concepts such as scatterplots, correlation coefficient, residual, coefficient of determination, RMSE, and chi-square.

The following are the contents of each section.

These videos provide step-by-step solutions for all math problems typically encountered in class. We will commence at the starting point. I provide a detailed explanation of the problem setup, the reasoning behind it, the necessary steps to solve it, strategies for navigating difficult parts, and techniques for simplifying the final answer.

The notes section of each lesson contains important information to remember. It can be compared to Cliff Notes but for mathematics. This resource provides essential information for passing your class without any unnecessary information.

Quizzes are available as a means of testing your understanding of a particular topic within a course. If you successfully meet the requirements, it will be considered satisfactory. To refresh your understanding, you may revisit the videos and notes or seek assistance in the Q&A section.

For additional practice, workbooks are available. Upon completion of the section, one may review their acquired knowledge by utilizing the bonus workbook. The workbooks contain additional practice problems that aid in reinforcing the concepts learned in each section.

This course is intended for:

Students who are currently taking or will be taking probability and statistics may find it advantageous to prepare in advance.

Parents who homeschool may seek additional assistance with probability and statistics.

Individuals are interested in studying mathematics as a recreational activity after a period of absence from academic settings.

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