Course curriculum

    1. 1810 Probability-The Engine of Inference

    1. 1811 Coin Flip Expected Value-Even & Uneven Odds & Coin

    2. 1821 Birthday Probability Game

    3. 1827 Roulette Probability Example

    4. 1851 Chuck-A-Luck Example

    5. 1857 Dice Central Limit Theorem Example

    1. 1810 Coin Flip Expected Value-Even & Uneven Odds & Coin Part 1

    2. 1812 Coin Flip Expected Value-Even & Uneven Odds & Coin Part 2

    3. 1814 Coin Flip Expected Value-Even & Uneven Odds & Coin Part 3

    4. 1820 Birthday Probability Game

    5. 1826 Roulette Probability Example Part 1

    6. 1828 Roulette Probability Example Part 2

    7. 1830 Roulette Probability Example Part 3

    8. 1832 Roulette Probability Example Part 4

    9. 1834 Roulette Probability Example Part 5

    10. 1836 Roulette Probability Example Part 6

    11. 1838 Roulette Probability Example Part 7

    12. 1840 Roulette Probability Example Part 8

    13. 1850 Chuck-A-Luck Example Part 1

    14. 1852 Chuck-A-Luck Example Part 2

    15. 1856 Dice Central Limit Theorem Example Part 1

    16. 1858 Dice Central Limit Theorem Example Part 2

    17. 1860 Dice Central Limit Theorem Example Part 3

    18. 1862 Dice Central Limit Theorem Example Part 4

About this course

  • $49.99
  • 24 lessons
  • 13 hours of video content

Description

Welcome to a journey through the fascinating world of data shapes and mathematical models! In this course, we will embark on a deep dive into the three pivotal pillars of statistical data analysis: Shape, Center, and Spread, unraveling the mysteries behind diverse data distributions.

Starting with the Shape of Data, we will explore how data can be represented through various distributions, emphasizing the significance of recognizing and understanding different data shapes in real-world scenarios. Take the corporate world, for example, where salaries often follow a skewed distribution, or the predictable intervals of atom decay, each presenting unique characteristic distributions. Through practical examples and interactive sessions, we will identify and analyze single-peaked histograms, symmetric, skewed, and bimodal distributions, gaining insights into the intrinsic patterns and behaviors of different datasets.

Diving deeper, we will introduce and demystify a range of Mathematical Descriptions of Data Shapes. From the simplicity of Uniform Distributions, seen in rolling a fair die, to the complexity of Poisson Distributions, representing events in fixed intervals, we will traverse the landscape of Exponential and Binomial Distributions, uncovering the intricacies of these mathematical models. Each session will be filled with real-life examples, hands-on exercises, and discussions, ensuring that you not only grasp the theoretical aspects but also develop a practical understanding of these concepts.

Our journey does not stop at mere identification and description; we delve into the Importance of Mathematical Models, unraveling how they empower us to perform quantitative analysis, make accurate predictions, and gain a profound understanding of the underlying phenomena governing the data. Whether it's predicting sales outcomes, analyzing traffic patterns, or exploring natural occurrences, you will learn to apply these models confidently and accurately.

In conclusion, this course is designed to transform your perspective on data, equipping you with the knowledge and skills to analyze, describe, and predict with precision. Whether you are a student stepping into the world of statistics, a professional looking to sharpen your data analysis skills, or simply a data enthusiast eager to understand the language of numbers, this course is your gateway to mastering the art of deciphering data.

Join us on this exhilarating adventure through the world of data shapes and mathematical models, and emerge with the tools and confidence to conquer the realm of statistical analysis!