<--- Back to Details
First PageDocument Content
Sampling / Psychometrics / Error / Margin of error / Measurement / Survey methodology / Knowledge
Date: 2016-07-23 10:02:03
Sampling
Psychometrics
Error
Margin of error
Measurement
Survey methodology
Knowledge

YouGov Sample Conducted Margin of ErrorAdult Interviews

Add to Reading List

Source URL: d25d2506sfb94s.cloudfront.net

Download Document from Source Website

File Size: 43,51 KB

Share Document on Facebook

Similar Documents

In Pursuit of Error: A Survey of Uncertainty Visualization Evaluation Jessica Hullman, Xiaoli Qiao, Michael Correll, Alex Kale, Matthew Kay Abstract—Understanding and accounting for uncertainty is critical to effective

DocID: 1xVWY - View Document

Climate modeling / Physical oceanography / Community Earth System Model / Application software / Software quality / MX

National Center for Atmospheric Research Quality Assurance and Error Identification for the Community Earth System Model Allison Baker

DocID: 1xVVX - View Document

Instrumental Variables Homework 1) Use the data in the Stata data file, Mroz.dta to estimate the return to education using the simple regression model log(wage)=B0 + B1*educ + error

DocID: 1xVIu - View Document

Quantum information science / Theoretical computer science / Quantum mechanics / Quantum computing / Quantum error correction / Quantum logic gate / Controlled NOT gate / GottesmanKnill theorem / Stabilizer code / Superdense coding / Quantum circuit / Quantum teleportation

Lecture 28, Tues May 2: Stabilizer Formalism Today we’ll see a beautiful formalism that was originally invented to describe quantum-error correcting codes, but now plays many different roles in quantum computation. Fir

DocID: 1xVAy - View Document

Quantum information science / Theoretical computer science / Quantum mechanics / Quantum computing / Quantum error correction / Qubit / Quantum circuit / Stabilizer code / Quantum threshold theorem / Superdense coding / Quantum logic gate / Superconducting quantum computing

Lecture 27, Thurs April 27: Quantum Error Correction At the end of the last lecture, we discussed some of the difficulties with achieving a quantum speedup using currently available quantum computing devices, like D-Wave

DocID: 1xVv9 - View Document