Hello everyone! Welcome back to Postnetwork Academy. I’m Bindeshwar Singh, and today we’re going to uncover a key concept in statistics that helps you understand data more deeply—deciles! Have you ever wondered how to break down a data set into smaller, meaningful parts? Deciles allow us to split data into 10 equal sections, giving us […]
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Quartiles help to divide a dataset into four equal parts. In this post, we will compute the values of the lower quartile (Q₁), median (Q₂), and upper quartile (Q₃) from a given set of grouped data. Data: | C.I. | fᵢ | |——-|—–| | 5-10 | 5 | | 10-15 | 6 | | 15-20
Data Science and A.I. : Computing Quartiles from Grouped Data: Step-by-Step Guide Read More »
How to Compute Quartiles from Given Data In this post, we will learn how to compute the quartiles \( Q_1 \), \( Q_2 \) (Median), and \( Q_3 \) using the provided data set. Quartiles help in dividing a data set into four equal parts, making it easier to understand the distribution of data.
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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
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 \( Q_1 \), \(
Data Science and A.I. : Numerical Related to Quartile Read More »
“`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
Data Science and A.I. – Quartiles, Deciles, and Percentiles Read More »
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
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
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
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: