Become a Probability & Statistics Master
Become a Probability & Statistics Master, available at $174.99, has an average rating of 4.74, with 148 lectures, 58 quizzes, based on 12600 reviews, and has 94065 subscribers.
You will learn about 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 This course is ideal for individuals who are Current probability and statistics students, or students about to start probability and statistics who are looking to get ahead or Homeschool parents looking for extra support with probability and statistics or Anyone who wants to study math for fun after being away from school for a while It is particularly useful for Current probability and statistics students, or students about to start probability and statistics who are looking to get ahead or Homeschool parents looking for extra support with probability and statistics or Anyone who wants to study math for fun after being away from school for a while.
Enroll now: Become a Probability & Statistics Master
Summary
Title: Become a Probability & Statistics Master
Price: $174.99
Average Rating: 4.74
Number of Lectures: 148
Number of Quizzes: 58
Number of Published Lectures: 148
Number of Published Quizzes: 58
Number of Curriculum Items: 206
Number of Published Curriculum Objects: 206
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
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. Become a Probability & Statistics Master is organized into the following sections:
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Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots
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Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
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Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
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Probability, including union vs. intersection and independent and dependent events and Bayes’ theorem
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Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
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Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
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Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
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Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square
AND HERE’S WHAT YOU GET INSIDE OF EVERY SECTION:
Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. 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 math. 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 course, you can test your knowledge by taking one of the quizzes. 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 workbook. The workbooks include tons of extra practice problems, so they’re a great way to solidify what you just learned in that section.
HERE’S WHAT SOME STUDENTS OF BECOME A PROBABILITY & STATISTICS MASTER HAVE TOLD ME:
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“Krista is an experienced teacher who offers Udemy students complete subject matter coverage and efficient and effective lessons/learning experiences. She not only understands the course material, but also selects/uses excellent application examples for her students and presents them clearly and skillfully using visual teaching aids/tools.” – John
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“Really good, thorough, well explained lessons.” – Scott F.
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“This is my second course (algebra previously) from Ms. King’s offerings. I enjoyed this course and learned a lot! Each video explains a concept, followed by the working of several examples. I learned the most by listening to Ms King’s teaching of the concept, stopping the video, and then attempting to work the example problems. After working the problems, then watching her complete the examples, I found that I really retained the concepts. A great instructor!” – Charles M.
YOU’LL ALSO GET:
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Lifetime access to Become a Probability & Statistics Master
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Friendly support in the Q&A section
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Udemy Certificate of Completion available for download
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30-day money back guarantee
Enroll today!
I can’t wait for you to get started on mastering probability and statistics.
– Krista 🙂
Course Curriculum
Chapter 1: Getting started
Lecture 1: What we'll learn in this course
Lecture 2: How to get the most out of this course
Lecture 3: Download the formula sheet
Lecture 4: The EVERYTHING download
Chapter 2: Visualizing data
Lecture 1: Introduction to visualizing data
Lecture 2: RESOURCE: Quiz solutions for this section
Lecture 3: One-way tables
Lecture 4: One-way tables
Lecture 5: Bar graphs and pie charts
Lecture 6: Bar graphs and pie charts
Lecture 7: Line graphs and ogives
Lecture 8: Line graphs and ogives
Lecture 9: Two-way tables
Lecture 10: Two-way tables
Lecture 11: Venn diagrams
Lecture 12: Venn diagrams
Lecture 13: Frequency tables and dot plots
Lecture 14: Frequency tables and dot plots
Lecture 15: Relative frequency tables
Lecture 16: Relative frequency tables
Lecture 17: Joint distributions
Lecture 18: Joint distributions
Lecture 19: Histograms and stem-and-leaf plots
Lecture 20: Histograms and stem-and-leaf plots
Lecture 21: Building histograms from data sets
Lecture 22: Building histograms from data sets
Lecture 23: BONUS! Extra practice problems. 🙂
Chapter 3: Analyzing data
Lecture 1: Introduction to analyzing data
Lecture 2: RESOURCE: Quiz solutions for this section
Lecture 3: Measures of central tendency
Lecture 4: Measures of central tendency
Lecture 5: Measures of spread
Lecture 6: Measures of spread
Lecture 7: Changing the data, and outliers
Lecture 8: Changing the data, and outliers
Lecture 9: Box-and-whisker plots
Lecture 10: Box-and-whisker plots
Lecture 11: BONUS! Extra practice problems. 🙂
Chapter 4: Data distributions
Lecture 1: Introduction to data distributions
Lecture 2: RESOURCE: Quiz solutions for this section
Lecture 3: Mean, variance, and standard deviation
Lecture 4: Mean, variance, and standard deviation
Lecture 5: Frequency histograms and polygons, and density curves
Lecture 6: Frequency histograms and polygons, and density curves
Lecture 7: Symmetric and skewed distributions and outliers
Lecture 8: Symmetric and skewed distributions and outliers
Lecture 9: Normal distributions and z-scores
Lecture 10: Normal distributions and z-scores
Lecture 11: Chebyshev's Theorem
Lecture 12: Chebyshev's Theorem
Lecture 13: Covariance
Lecture 14: Covariance
Lecture 15: Correlation coefficient
Lecture 16: Correlation coefficient
Lecture 17: Weighted means and grouped data
Lecture 18: Weighted means and grouped data
Lecture 19: BONUS! Extra practice problems. 🙂
Chapter 5: Probability
Lecture 1: Introduction to probability
Lecture 2: RESOURCE: Quiz solutions for this section
Lecture 3: Simple probability
Lecture 4: Simple probability
Lecture 5: The addition rule, and union vs. intersection
Lecture 6: The addition rule, and union vs. intersection
Lecture 7: Independent and dependent events and conditional probability
Lecture 8: Independent and dependent events and conditional probability
Lecture 9: Bayes' Theorem
Lecture 10: Bayes' Theorem
Lecture 11: BONUS! Extra practice problems. 🙂
Chapter 6: Discrete random variables
Instructors
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Krista King
Your geeky, trusty math tutor
Rating Distribution
- 1 stars: 73 votes
- 2 stars: 122 votes
- 3 stars: 709 votes
- 4 stars: 3575 votes
- 5 stars: 8121 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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