# Become a Probability & Statistics Master

This Become a Probability & Statistics Master course teaches you the basics of Probability and Statistics, then polishes your knowledge with more than 600 practice questions.

## What you'll learn

• Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
• Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
• Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
• Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
• Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
• Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
• Hypothesis testing, including inferential statistics, significance level, type I and II errors, test statistics, and p-values
• Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square

## Requirements

• You should be comfortable with arithmetic (addition, subtraction, multiplication, division) of whole numbers.
• You should be comfortable with basic algebraic operations and simple equation solving.
• You'll only need simple arithmetic and algebra to solve these probability and statistics problems, so if you have that simple foundation, you'll be well prepared for this Become a Probability & Statistics Master course.

## Description

HOW BECOME A PROBABILITY & STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:

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Featuring over 160 lessons, this Become a Probability & Statistics Master course includes videos (aff) and text explanations of probability and statistics, along with 45 quizzes (with solutions!) and 8 additional workbooks with added practice problems so you can check your understanding along the way. Become a Probability & Statistics Master is organized into the following sections:

• Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots
• Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
• Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
• Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
• Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
• Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
• Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
• Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square

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

You can watch with your own eyes as I handle every math question you will encounter in class. Let's start from the beginning… Here I explain how and why I set up the problem in a certain 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.

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Each lesson includes a section called “Notes”. This section contains the most important information. Like Cliff Notes for books, but for math. It contains all the information you will need to pass your class and some that won't.

Quizzes: When you think you understand a topic within a course, you can test your understanding of that topic with a quiz. Congratulations if you pass! Should that not be the case, you can watch the videos (aff) and review the notes again, or you can ask for assistance in the Q&A section.

Need more practice? Check out our workbooks. After completing the section, you can review everything you've learned by working through the bonus workbook. It's a great way to improve your understanding of the material in that section since the workbooks include tons of extra practice problems.

HERE'S WHAT SOME STUDENTS OF BECOME A PROBABILITY & STATISTICS MASTER HAVE TOLD ME:

• “Krista is an experienced teacher who provides students with complete subject material coverage and efficient and effective lessons and learning experiences on Udemy. In addition to understanding the Become a Probability & Statistics Master course material, she also selects and uses excellent application examples for her students, presenting them effectively using visual teaching aids/tools.” – John
• “Really good, thorough, well-explained lessons.” – Scott F.
• “This is my second Become a Probability & Statistics Master course with Ms. King (I previously took algebra). This was a great Become a Probability & Statistics Master course that I enjoyed and learned a great deal from! Every video (aff) explains a concept and then shows its application through several examples. I learned the most by listening to Ms. King's explanation of the concept, stopping the video (aff), and then working the example problems. As a result of working on the problems, then watching her complete the examples, I was able to retain the concepts. An excellent teacher!” – Charles M.

YOU'LL ALSO GET:

• Friendly support in the Q&A section
• 30-day money back guarantee
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Enroll today!

I can't wait for you to get started on mastering probability and statistics.

– Krista 🙂

## Who this course is for:

• Current probability and statistics students, or students about to start probability and statistics who are looking to get ahead
• Homeschool parents looking for extra support with probability and statistics
• Anyone who wants to study math for fun after being away from school for a while

Created by Krista King
Last updated 5/2021
English
Size: 2.04 GB

`https://www.udemy.com/course/statistics-probability/` 