Statistics Foundations: Probability

Statistics Foundations: Probability

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 1h 10m | 430 MB

Not sure if you need statistics? Think again! Statistics help with making decisions, new discoveries, investments, and predictions. For subjects ranging from political races to healthcare advancements, statistics can improve your understanding of your favorite topic. In this course, Professor Eddie Davila teaches common terms, formulas, and techniques related to probability, the area of statistics where this course focuses.

Eddie explains that probability is used to make decisions about future outcomes and to understand past outcomes. He covers permutations, combinations, and percentiles, and goes into how to describe and calculate them. Eddie introduces multiple event probabilities and discusses when to add and subtract probabilities. He describes probability trees, Bayes’ Theorem, binomials, and so much more. You can learn to understand your data, prove theories, and save valuable resources—all by understanding the numbers.

Table of Contents

1 The importance of probabilities
2 Probability basics
3 Examples of probability
4 Permutations
5 Combinations
6 Percentiles
7 Introduction to multiple events
8 Probabilities of two events
9 Conditional probabilities
10 Probability trees
11 Multiplication rule
12 Using probability trees
13 Bayes theorem
14 Discrete vs. continuous
15 Discrete mean
16 Binomials
17 Normal curve
18 Bell-shaped curve
19 Z transformation
20 Next steps