Master Statistics & Probability 2020: Beginner-To-Advanced

Includes 100+ Meaningful Lectures, Homework Assignments, Quizzes, Comprehensive Exams & An Online Statistics Textbook!

What you'll learn:

• Define various terms and concepts in Statistics, including samples, statistics and variables
• Contrast various sampling methods along with various biases and invalid arguments
• Organize data into structures that appeal to the eye
• Measure data with various measuring tools, including measures of central tendency and measures of dispersion
• Develop a deep productive conceptual understanding of Probability in a new unique way
• Draw conclusions about random discrete variables based on their various probability distributions
• Identify normal probability distributions along with their general properties
• Synthesize and interpret normal distributions using the standard normal distribution
• Apply and connect properties of the standard normal distribution
• Analyze and apply various interpretations of The Central Limit Theorem to sample distributions
• Construct a sound and coherent Philosophy of Science and Statistics
• Interpret and apply different one sample tests to data and create conclusions from the results
• Compare and contrast two different samples mathematically using two sample hypothesis testing
• Contrast the variation between multiple various samples using the One-Way ANOVA test
• Coordinate multiple numerical variables with linear and exponential models
• Coordinate multiple categorical variables using Chi-Squared distributions and tests

***This course has been updated in 2020. Check out some of our lectures below!***

Included in the purchase of this course are:

• 100+Comprehensive &Meaningful Lectures

• Dozens Of Homework Assignments (Autograded) Via MyOpenMath

• Several Quizzes (Autograded) To Assess Understanding Of Each Section

• Comprehensive Midterm Exams And Final Exams (Autograded) To Assess Understanding Of The Entire Curriculum

• A CompleteOpen-Source Online Statistics Textbook

You are probably asking yourself the question, "When and where will I use statistics and/or probability?" If you read any newspaper, watch television, or use the Internet, you will see statistical/probabilistic information. There are statistics about crime, sports, education, politics, and real estate. Typically, when you read a newspaper article or watch a television news program, you are given sample information and predictions. With this information, you may make a decision about the correctness of a statement, claim, or "fact." Statistical and probabilistic methods can help you make the "best educated guess."

Since you will undoubtedly be given information relating to statistics/probability at some point in your life, you need to know some techniques for analyzing the information thoughtfully. Think about buying a house or managing a budget. Think about your chosen profession. The fields of economics, business, psychology, education, biology, law, computer science, police science, and early childhood development require at least one course in statistics and probability.

MASTER STATISTICS&PROBABILITY2020 IS SET UP TO MAKE STATISTICS&PROBABILITY EASY:

Master Statistics &Probability 2020 will teach you how to:

• Recognize and differentiate between key terms.

• Apply various types of sampling methods to data collection.

• Create and interpret frequency tables.

• Display data graphically and interpret graphs: stemplots, histograms, and box plots.

• Recognize, describe, and calculate the measures of location of data: quartiles and percentiles.

• Recognize, describe, and calculate the measures of the center of data: mean, median, and mode.

• Recognize, describe, and calculate the measures of the spread of data: mean average deviation, standard deviation, and range.

• Understand and use the terminology of probability.

• Determine whether two events are mutually exclusive and whether two events are independent.

• Calculate and interpret expected values.

• Recognize and understand continuous probability density functions in general.

• Recognize the normal probability distribution and apply it appropriately.

• Recognize the standard normal probability distribution and apply it appropriately.

• Compare normal probabilities by converting to the standard normal distribution.

• Recognize central limit theorem problems.

• Classify continuous word problems by their distributions.

• Apply and interpret the central limit theorem for means.

• Apply and interpret the central limit theorem for sums.

• Calculate and interpret confidence intervals for estimating a population mean and a population proportion.

• Interpret the Student's t probability distribution as the sample size changes.

• Discriminate between problems applying the normal and the Student'stdistributions.

• Calculate the sample size required to estimate a population mean and a population proportion given a desired confidence level and margin of error.

• Describe hypothesis testing in general and in practice

• Conduct and interpret hypothesis tests for a single population mean, population standard deviation known.

• Conduct and interpret hypothesis tests for a single population mean, population standard deviation unknown.

• Conduct and interpret hypothesis tests for a single population proportion.

AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:

Videos: Watch engaging content involving interactive whiteboard lectures as I solve problems for every single math issue you’ll encounter in Statistics and Probability. We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.

Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for Statistics and Probability. Everything you need to know to pass your class and nothing you don’t.

Quizzes: When you think you’ve got a good grasp on a topic within a lecture, test your understanding with a quiz. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.

Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbooks. These workbooks include tons of extra practice problems (all with detailed solutions and explanations for how to get to those solutions), so they're a great way to solidify what you just learned in that section.

YOU'LL ALSO GET:

• Lifetime access to a free online Statistics &Probability textbook

• Lifetime access to Master Statistics &Probability 2020

• Friendly support in the Q&A section

• Udemy Certificate of Completion available for download

So what are you waiting for? Learn Statistics and Probability in a way that will advance your career and increase your knowledge, all in a fun and practical way!

HERE'S WHAT SOME STUDENTS OF MASTERSTATISTICS&PROBABILITY2020 HAVE TOLD ME:

• "Kody is a great teacher. He clearly presents complex ideas with great examples and explanations. His lectures are always very energetic and engaging. I have learned more in his class than I did in two semesters of statistics required for my BS in Software Engineering!" - Stew M.

• “The videos are short and move along quickly, which lends itself to taking notes and quickly reviewing those notes between videos. The enunciation and clear and concise explanations are excellent. The class is coupled with an OpenText book online with its own video explanations and practice problems. All of this leaves me confident in the material!” - Calvin T.

• "Great course. Good to learn all about statistics from very basic to advanced. The lectures are very easy to follow and understand. Nice instructor that explains clearly, he made the course interesting. I intend to finish the course ASAP." - Jugkapong C.

• "So lovely the course as well as the teacher. I normally find it difficult to learn with Udemy but this course is easy to learn with." - Victoria S.

• "Lecturer really clear and resources are really useful." - Xiao J.

• "[Kody] very nicely defined all aspect from the basics of stats. Very helpful." - PritinandaS.

• "Great course. Simply explained. Covers a lot of areas in Statistics. Thanks Kody."- Fahad R.

• "Excellent instructor and quality of course. Recommended strongly for beginners." - Laxman K.

• "Thank you sir....the course was wonderful course....you designed it very well. It was meeting to my needs... Thank you :)" - Chanchala J.

Does the course get updated?

It’s no secret how Statistics and Probability curriculum is advancing at a rapid rate. New, more complex content and topics are changing Statistics and Probability courses across the world every day, meaning it’s crucial to stay on top with the latest knowledge.

A lot of other courses on Udemy get released once, and never get updated. Learning from an outdated course and/or an outdated version of Statistics and Probability can be counter productive and even worse - it could teach you the wrong way to do things.

There's no risk either!

This course comes with a full 30 day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let Kody know and he will refund you 100%, every last penny no questions asked.

You either end up with Statistics and Probability skills, go on to succeed in college level Statistics and Probability courses and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

You literally can’t lose. Ready to get started?

Enroll now using the “Add to Cart” button on the right, and get started on your way to becoming a master of Statistics and Probability. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, your Statistics &Probability class is waiting!)

Some content was used from Creative Commons, and attribution is provided within the curriculum of this course.