Learn everything from Probability & Statistics, then test your knowledge with 600+ practice questions
Table of Contents
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
Requirements for this Course:
- 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 course.
Description:
HOW BECOME A PROBABILITY and STATISTICS MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:
This 163-exercise course incorporates video and text clarifications of everything from Probability and Statistics, and it incorporates 45 tests (with arrangements!) and an extra 8 exercise manuals with additional training issues, to help you test your comprehension en route. Become a Probability and Statistics Master is coordinated into the accompanying segments:
Picturing information, including structured presentations, pie outlines, Venn graphs, histograms, and spot plots
Investigating information, including mean, middle, and mode, in addition to reach and IQR and box-and-hair plots
Information circulations, including mean, change, and standard deviation, and typical disseminations and z-scores
Likelihood, including association versus crossing point and free and ward occasions and Bayes’ hypothesis
Discrete arbitrary factors, including binomial, Bernoulli, Poisson, and mathematical irregular factors
Testing, including kinds of studies, inclination, and inspecting dissemination of the example mean or test extent, and certainty spans
Speculation testing, including inferential insights, importance levels, type I and II mistakes, test measurements, and p-values
Relapse, including scatterplots, connection coefficient, the remaining, coefficient of assurance, RMSE, and chi-square
Furthermore, HERE’S WHAT YOU GET INSIDE OF EVERY SECTION:
Recordings: Watch behind me as I take care of issues for each and every numerical issue you’ll experience in class. We start all along… I clarify the difficult arrangement and why I set it up that way, the means I take and why I take them, how to work through the yucky, fluffy center parts, and how to improve on the appropriate response when you get it.
Notes: The notes segment of every exercise is the place where you track down the main things to recall. It resembles Cliff Notes for books, however for math. All you require to know to handle your class and nothing you don’t.
Tests: When you think you have a decent handle on a subject inside a course, you can test your insight by taking one of the tests. On the off chance that you pass, amazing! If not, you can survey the recordings and notes again or request help in the Q&A area.
Exercise manuals: Want much more practice? At the point when you’ve completed the segment, you can audit all that you’ve learned by working through the reward exercise manual. The exercise manuals incorporate huge loads of additional training issues, so they’re an extraordinary method to harden what you just realized in that segment.
HERE’S WHAT SOME STUDENTS OF BECOME A PROBABILITY and STATISTICS MASTER HAVE TOLD ME:
“Krista is an accomplished educator who offers Udemy understudies total topic inclusion and productive and powerful exercises/learning encounters. She comprehends the course material, yet in addition chooses/utilizes brilliant application models for her understudies and presents them plainly and ably utilizing visual showing helps/instruments.” – John
“Great, intensive, all around clarified exercises.” – Scott F.
“This is my subsequent course (polynomial math already) from Ms. Ruler’s contributions. I appreciated this course and took in a great deal! Every video clarifies an idea, trailed by the working of a few models. I took in the most by paying attention to Ms King’s instructing of the idea, halting the video, and afterward endeavoring to work the model issues. In the wake of working the issues, then, at that point watching her total the models, I found that I truly held the ideas. An extraordinary educator!” – Charles.
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
Course Content:
Gtting Started
Visualizing data
Analyzing dta
Data distributions
Probality
Discrete Random Variables
Sampling
Hypothesis testing
Regression
Final exam and wrap-up
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