Probability and Statistics

Data Science and A.I. – Quartiles, Deciles, and Percentiles

Artificial Intelligence, Data Handling, Deep Learning, Generative A., Generative A. I., Machine Learning, Probability and Statistics, Research and Development, Statistics /

“`html PostNetwork Academy guides us through three crucial statistical measures: Quartiles, Deciles, and Percentiles These measures are used to divide a data distribution into equal parts, making them essential tools in data analysis. Hello everyone! Welcome to another educational post from PostNetwork Academy. I’m Bindeshwar, and before we begin, make sure to follow us on […]

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variance

Data Science and A.I. : Measures of Dispersion : Variance of Continuous Freq. Distribution

Artificial Intelligence, Data Handling, Machine Learning, Probability and Statistics, Statistics /

In this post, we dive into one of the core statistical concepts used in data science and artificial intelligence—calculating the variance of a continuous frequency distribution. Breaking down the steps If you have data distributed across class intervals with frequencies, the goal is to find the variance. The video explains the columns in the table:

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median

Median in Data Science and AI

Artificial Intelligence, Machine Learning, Probability and Statistics, Research and Development /

Median in Data Science and AI In the realm of data science and AI, understanding measures of central tendency is crucial. In this post, we will explore the concept of median. What is Median? Median is a key measure of central tendency that divides a dataset into two equal halves. It represents the middle value

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Data Science and A.I. – Measures of Dispersion: Variance of Discrete Frequency Distribution

Data Handling, Machine Learning, Probability and Statistics, Research and Development, Statistics /

 Data Science and A.I. – Measures of Dispersion: Variance of Discrete Frequency Distribution   In this post from PostNetwork Academy’s Data Science and A.I. Lecture Series, Bindeshwar Singh Kushwaha walks us through the process of calculating the variance of a discrete frequency distribution. This is an essential statistical measure for understanding the spread of data

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How to Calculate Variance for a Given Distribution

Artificial Intelligence, Data Handling, Machine Learning, Probability and Statistics /

How to Calculate Variance for a Given Distribution Introduction: In this post, we will explore the step-by-step process of calculating the variance and standard deviation for a given frequency distribution. Understanding these concepts is crucial for analyzing data variability and distribution spread. Example: Given the following frequency distribution, we will calculate both the variance and

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Understanding Variance: A Practical Example

Artificial Intelligence, Probability and Statistics /

Understanding Variance: A Practical Example In our recent Data Science and AI lecture, we explored the concept of variance—a crucial measure in statistics that indicates how spread out a set of data points is around their mean. Today, we’ll dive into a practical example involving a batsman’s scores over ten matches. The Problem Let’s consider

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Binomial Distribution

Understand Binomial Distribution

Mathematics, Maths, Probability and Statistics, Statistics /

Before understanding Binomial distribution you have to understand Bernoulli trial. What is Bernoulli trial? A Bernoulli trial is a random experiment in which  there are two possible outcomes failure and success getting head when tossing a coin is success and getting tail is failure getting 4 is success when rolling a dice and failure when

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Random Variable and Probability Mass Function

Random Variable and Probability Mass Function

Leave a Comment / Machine Learning, Mathematics, Probability and Statistics, Statistics /

Random variable   is a very  important concept in probability, statistics, data science and machine learning, one must  learn concept of random variable and related concepts. In this post, I have explained random variable and probability mass function that will help you to have basic understanding of  random variable and probability mass function. To understand random

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