Quartiles

Data Science and A.I. : Numerical Related to Compute Quartile:How to Calculate Quartiles – Step-by-Step Guide by Bindeshwar from Postnetwork Academy

How to Calculate Quartiles – Step-by-Step Guide by Bindeshwar from Postnetwork Academy Hello everyone! Welcome to Postnetwork Academy’s latest tutorial. I’m Bindeshwar, and today we’re going to break down quartiles—an essential concept in data analysis. Whether you’re a beginner or just looking to brush up on your skills, I’ve got you covered. Let’s dive right […]

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Data Science and A.I. : Numerical Related to Quartile

Numerical Example to Compute Quartile Problem Statement: Given the data set: 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, calculate the first quartile, second quartile, and third quartile using the quartile formulas. Understanding Quartiles: Quartiles divide the data set into four equal parts. There are three quartiles, denoted by \( Q_1 \), \(

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

“`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

Title: How to Calculate Variance of Continuous Frequency Distribution   Introduction:   In statistics, variance is a measure of the spread of a distribution. For continuous frequency distributions, variance helps determine how data points differ from the mean. In this tutorial, we’ll go through the steps to calculate variance using a frequency distribution table. Understanding

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

Data Science and A.I.: Measures of Dispersion – Variance of Continuous Frequency Distribution** Introduction “Hey there, welcome to PostNetwork Academy, your go-to place for all things Data Science and AI! Before we jump into today’s lesson, make sure to check out our website at [postnetwork.co](https://postnetwork.co), YouTube channel, Facebook page, and LinkedIn for all the latest

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

Here’s a line-by-line explanation of the LaTeX code: 1. `\documentclass[10pt,aspectratio=169]{beamer}` – This line specifies the document type as a  Beamer presentation. – `10pt`: Sets the font size to 10 points. – `aspectratio=169`: Specifies the aspect ratio of the slides (16:9, which is a widescreen format). 2. `\usepackage[applemac]{inputenc}` – This imports the `inputenc` package and specifies

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variance

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

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

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 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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