Continuous Probability Distributions

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MODULE 1: INTRODUCTION TO DATA SCIENCE
In this module, students will learn the fundamentals of Data Science, which combines statistics, mathematics, and computer science to extract insights from data.
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MODULE 5: EXPLORATORY DATA ANALYSIS (EDA)
This module on Exploratory Data Analysis (EDA) emphasizes the importance of data cleaning and visualization in the data analysis process.
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Introduction to Data Science and Analytics
About Lesson

Continuous Probability Distributions

Overview: This section introduces continuous random variables and their distributions.

  • Continuous Random Variables:
    • Variables that can take on an infinite number of values within a given range (e.g., height, weight).
  • Common Continuous Distributions:
    • Normal Distribution: A bell-shaped distribution characterized by its mean and standard deviation.
    • Exponential Distribution: Models the time between events in a Poisson process.
  • Real-Life Example:
    • The distribution of heights in a population often follows a normal distribution, where most individuals are around the average height.
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