Probability, Correlation And Regression Ca Foundation

Enjoy Probability, Correlation and Regression CA Foundation and other students

What you'll learn

Probability

Correlation

Regression

Explore Probability, Correlation and Regression

Requirements

Interest to Learn and Concentration

Description

Probability is the measure of how likely an event is to occur. It helps us understand uncertainty and make predictions based on available information. For example, when flipping a coin, the probability of landing heads or tails is equal. In real-world applications, probability is used to assess risks, make decisions, and predict future events. It forms the foundation for many statistical techniques, as it provides a way to quantify uncertainty and make informed choices under uncertain conditions.Correlation refers to the relationship between two variables. When two variables are correlated, changes in one tend to correspond to changes in the other. However, correlation does not imply that one variable causes the other to change. For example, there might be a correlation between ice cream sales and the number of people going to the beach, but that does not mean that buying ice cream causes people to go to the beach. Understanding correlation is crucial in identifying patterns and connections between different factors.Regression is a method used to understand the relationship between a dependent variable and one or more independent variables. It helps in predicting the value of the dependent variable based on the values of the independent ones. For example, in a business context, regression can help predict sales based on factors like advertising spend or seasonality. It is a powerful tool for identifying trends, making forecasts, and guiding decision-making based on past data.

Overview

Section 1: Introduction

Lecture 1 Lecture 1: Probability 1

Section 2: Lecture 2: Probability 2

Lecture 2 Lecture 2: Probability 2

Section 3: Lecture 3: Probability 3

Lecture 3 Lecture 3: Probability 3

Section 4: Lecture 4: Correlation 1

Lecture 4 Lecture 4: Correlation 1

Section 5: Lecture 5: Correlation & Regression

Lecture 5 Lecture 5: Correlation and Regression

Section 6: Lecture 6: Regression 2

Lecture 6 Lecture 6: Regression

For both Academics, Professional Courses, Lovers and Haters of Math and Statistics