Statistics

Data Science and A.I. : How to Calculate Percentiles of Grouped Data

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

  Data Science and A.I. Lecture Series: Computing the 70th Percentile Welcome to our Data Science and A.I. lecture series! In this post, we’ll cover a fundamental concept in statistics – percentiles. Specifically, we’ll learn how to compute the 70th percentile, or P70, for a grouped data set. Understanding Percentiles Percentiles divide a data set […]

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Data Science and A.I. : How to Calculate Percentiles Step-by-Step Guide

Artificial Intelligence, Data Handling, Machine Learning, Research and Development, Statistics /

  From the Following Data, Compute the Value of P27 Given Data xi 0 1 2 3 4 5 6 7 8 fi 1 9 26 59 72 52 29 7 1 Solution Percentile divides the dataset into 100 equal parts. To compute P27, we use the following formula: Formula: P27 = 27N/100 Given N

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Data Science and A.I. : How to Calculate Percentiles Step-by-Step Guide

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

Numerical Example to Compute Percentile Given the data set: 3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 57, 60, calculate the 30th and 60th percentiles. Percentile Percentiles are those values of the variate which divide the distribution into 100 equal parts, therefore the number of

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Computing Deciles from Frequency Distribution

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

  Computing Deciles from Frequency Distribution From the following data, we compute the values of the deciles: Class Intervals and Frequencies Class Interval (C.I.) Frequency (fi) 0-10 3 10-20 10 20-30 17 30-40 7 40-50 6 50-60 4 60-70 2 70-80 1 Total N = 50 Cumulative Frequency Class Interval (C.I.) Frequency (fi) Cumulative Frequency

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Deciles

Deciles Calculation and Visualization

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

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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Data Science and A.I. : Computing Quartiles from Grouped Data: Step-by-Step Guide

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

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

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

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

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

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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