Cross-sectional data

Cross-sectional analysis | Statistical data types

Cross-sectional data, or a cross section of a study population, in statistics and econometrics, is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at the one point or period of time. The analysis might also have no regard to differences in time. Analysis of cross-sectional data usually consists of comparing the differences among selected subjects. For example, if we want to measure current obesity levels in a population, we could draw a sample of 1,000 people randomly from that population (also known as a cross section of that population), measure their weight and height, and calculate what percentage of that sample is categorized as obese. This cross-sectional sample provides us with a snapshot of that population, at that one point in time. Note that we do not know based on one cross-sectional sample if obesity is increasing or decreasing; we can only describe the current proportion. Cross-sectional data differs from time series data, in which the same small-scale or aggregate entity is observed at various points in time. Another type of data, panel data (or longitudinal data), combines both cross-sectional and time series data ideas and looks at how the subjects (firms, individuals, etc.) change over a time series. Panel data differs from pooled cross-sectional data across time, because it deals with the observations on the same subjects in different times whereas the latter observes different subjects in different time periods. Panel analysis uses panel data to examine changes in variables over time and its differences in variables between selected subjects. In a rolling cross-section, both the presence of an individual in the sample and the time at which the individual is included in the sample are determined randomly. For example, a political poll may decide to interview 1000 individuals. It first selects these individuals randomly from the entire population. It then assigns a random date to each individual. This is the random date that the individual will be interviewed, and thus included in the survey. Cross-sectional data can be used in cross-sectional regression, which is regression analysis of cross-sectional data. For example, the consumption expenditures of various individuals in a fixed month could be regressed on their incomes, accumulated wealth levels, and their various demographic features to find out how differences in those features lead to differences in consumers’ behavior. (Wikipedia).

What Exactly IS a Cross Section pt. 1: Cross Sectional Area

Today I I break the world record of longest video explaining cross sectional areas. I spend a good deal of time deriving and giving geometric arguments for the equations most textbooks would simply define for the cross sectional area if one has a single target, or sheet of targets.

From playlist What is a cross section?

Cross product and area of parallelogram

How to compute area of parallelogram via cross products of vectors. Free ebook https://bookboon.com/en/introduction-to-vectors-ebook (updated link) Test your understanding via a short quiz http://goo.gl/forms/v8utjHDRT3

From playlist Introduction to Vectors

Ex 2: Properties of Cross Products - Cross Product of a Sum and Difference

This video explains how to find the cross product of a sum and difference of two vectors. Site: http://mathispower4u.com

From playlist Vectors in Space (3D)

What IS a Cross Section pt. 2: Differential Cross Sections in Particle Physics

Today I discuss how the interpretation of the cross section changes when we both turn on interactions and quantum mechanics. I discuss the importance of the differential cross section in particle physics with a couple examples, including how they can be used as evidence for the existence o

From playlist What is a cross section?

Ex: Volume of a Solid With Slices Parallel to X-axis (Triangle)

This video explains how to determine the volume of a solid with a known cross section parallel to the x-axis.

From playlist Application of Integration: Volume of Solid with Known Cross Section

Multivariable Calculus: Cross Product

In this video we explore how to compute the cross product of two vectors using determinants.

From playlist Multivariable Calculus

Ex 4: Volume of a Solid with Known Cross Section Using Integration - Volume by Slices

This video explains how to use integration to find the volume of a solid using slices or with a known cross section. The cross section is a square. Site: http://mathispower4u.com

From playlist Application of Integration: Volume of Solid with Known Cross Section

Determining Two Angles are Consecutive Interior Angles from a Figure

👉 Learn how to identify angles from a figure. This video explains how to solve problems using angle relationships between parallel lines and transversal. We'll determine the solution given, corresponding, alternate interior and exterior. All the angle formed by a transversal with two paral

From playlist Parallel Lines and a Transversal

Multivariable Calculus | Cross Product Examples

We calculate a few interesting examples/applications using the cross product. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/

From playlist Vectors for Multivariable Calculus

25. Review of All Nuclear Interactions and Problem Set 7 Help

MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016 Instructor: Michael Short View the complete course: https://ocw.mit.edu/22-01F16 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61FVzAxBP09w2FMQgknTOqu Students' questions on the past month

From playlist MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016

HEDS | Nuclear Science Experiments for National Security and Fundamental Science on NIF

Presented by Dawn Shaughnessy. LLNL-VIDEO-821206

From playlist High Energy Density Science Seminar Series

Cross Validation In Machine Learning | Cross Validation | Machine Learning Tutorial | Simplilearn

🔥Artificial Intelligence Engineer Program (Discount Coupon: YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=CrossValidationInMachineLearningDec21&utm_medium=Descriptionff&utm_source=youtube 🔥Professional Certificate Program In AI And Machine Learning: h

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023

2nd Session (21/03/2023)

PROGRAM LESS TRAVELLED PATH TO THE DARK UNIVERSE ORGANIZERS: Arka Banerjee (IISER Pune), Subinoy Das (IIA, Bangalore), Koushik Dutta (IISER, Kolkata), Raghavan Rangarajan (Ahmedabad University) and Vikram Rentala (IIT Bombay) DATE & TIME: 13 March 2023 to 24 March 2023 VENUE: Ramanujan

From playlist LESS TRAVELLED PATH TO THE DARK UNIVERSE

Graphing Resistivity

What data is needed on the x and y axes of a graph that will have a straight, best-fit line with a slope equal to the resistivity of nichrome? We collect the data and answer this question. Want Lecture Notes? https://www.flippingphysics.com/resistivity-graph.html This is an AP Physics 1/JE

From playlist All of AP Physics C: Electricity & Magnetism!

Catching Dark Matter Underground at the Planck Mass and Beyond by Nirmal Raj

LESS TRAVELLED PATH TO THE DARK UNIVERSE ORGANIZERS: Arka Banerjee (IISER Pune), Subinoy Das (IIA, Bangalore), Koushik Dutta (IISER, Kolkata), Raghavan Rangarajan (Ahmedabad University) and Vikram Rentala (IIT Bombay) DATE & TIME: 13 March 2023 to 24 March 2023 VENUE: Ramanujan Lecture

From playlist LESS TRAVELLED PATH TO THE DARK UNIVERSE

Wind Tunnel Corrections and Data Reduction

This is the second of our 3 part series on wind tunnel testing. In this video, we discuss 11 different corrections and data reduction processes that are applied to raw wind tunnel data to transform it into data that more closely resembles full scale, free air flight. Topics and timestamp

From playlist Flight Mechanics

Bound on Self-Interacting Dark Matter from Galactic Cores by Sambo Sarkar

From playlist LESS TRAVELLED PATH TO THE DARK UNIVERSE

Experimental SUSY Searches by Claudio Campagnari

Discussion Meeting : Hunting SUSY @ HL-LHC (ONLINE) ORGANIZERS : Satyaki Bhattacharya (SINP, India), Rohini Godbole (IISc, India), Kajari Majumdar (TIFR, India), Prolay Mal (NISER-Bhubaneswar, India), Seema Sharma (IISER-Pune, India), Ritesh K. Singh (IISER-Kolkata, India) and Sanjay Kuma

From playlist HUNTING SUSY @ HL-LHC (ONLINE) 2021

Regression: Model Selection and Validation, Part 3

Data Science for Biologists Regression: Model Selection and Validation Part 3 Course Website: data4bio.com Instructors: Nathan Kutz: faculty.washington.edu/kutz Bing Brunton: faculty.washington.edu/bbrunton Steve Brunton: faculty.washington.edu/sbrunton

From playlist Data Science for Biologists

Vector Cross Product: How to derive

How to derive the cross product formula for vectors. Free ebook https://bookboon.com/en/introduction-to-vectors-ebook (updated link) Test your understanding via a short quiz http://goo.gl/forms/BKJt1pY0Dc

From playlist Introduction to Vectors

Cross-sectional data

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