Search Results for Category: Big-data and Tag: Statistics

Labor Force Statistics

At first glance, the variety of census datasets appear to cover many of the same topics, but each one employs a different methodology and focuses on a specific set of labor force variables at varying levels of geographic detail. In this post, we’ll summarize several of these additional sources so you can determine which ones meet your needs.

Categories: Sampling

Tags: Census, geography, Labor, labor force, Statistics

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Understanding Inferential Statistics and Descriptive Statistics

Collecting, analyzing, and reporting with data can be daunting. The person that SAGE Publishing — the parent of MethodSpace — turns to when it has questions is Diana Aleman – editor extraordinaire for SAGE Stats and U.S. Political Stats. And now she is bringing her trials, tribulations, and expertise with data to you in this […]

Categories: Quantitative

Tags: Statistics, Tips, Tips With Diana

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More on Power, Sample Size, and Power Calculations

More on Power, Sample Size, and Power Calculations Of the variables that affect power, you can see that sample size gives you the most flexibility, as people are not in the habit of changing either the alpha level of .05, nor can you switch from a two-tailed to a one-tailed test (the use of a […]

Categories: MentorSpace, Quantitative, Tools and Resources

Tags: sample size, Statistics

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Bootstrap Method Wins Efron International Prize in Statistics

The International Prize in Statistics has been awarded to Bradley Efron, professor of statistics and biomedical data science at Stanford University, in recognition of the “bootstrap,” a method he developed in 1977 for assessing the uncertainty of scientific results that has had extraordinary impact across many scientific fields. With the bootstrap (described by Efron below), […]

Categories: Opportunities, Quantitative

Tags: Bootstrap, Bradley Efron, International Prize in Statistics, Statistics

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The Gentle Guide: Neil Salkind, 1947-2017

This obituary originally appeared on MethodSpace’s sister site, Social Science Space. Neil Salkind, a child development psychologist whose academic writing endeared him to generations of students struggling with statistics, has died at age 70. Salkind, a professor emeritus at the University of Kansas, died from melanoma at his home in Lawrence, Kansas on November 18. […]

Categories: Editorial, SAGE Posts

Tags: Neil Salkind, Statistics

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Greece’s Honest Statistician Pays Price for Ethics

A Greek appeals court has convicted Andreas Georgiou, the former president of the Hellenic Statistical Authority, known as ELSTAT, of violation of duty for his actions in recalculating national statistics and showing that Greece’s financial situation was much more dire than had been advertised. His new figures were front and center in the Greek financial […]

Categories: Editorial, Quantitative

Tags: American Statistical Association, Andreas Georgiou, ELSTAT, Ethics, Statistics

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Tips with Diana: Data and Statistics 101

The fundamental difference between data and statistics (because who knew!) The basics Before I started working on SAGE Stats, the idea of working with a large data set was quite intimidating. Shout out to the USDA’s Food Access Research Atlas! In the two years since, working regularly with our platform has really opened my eyes to how empowering […]

Categories: MentorSpace, Quantitative, SAGE Posts, Tools and Resources

Tags: Statistics, Tips, Tips With Diana

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Paradoxes of Probability and Other Statistical Strangeness

Statistics is a useful tool for understanding the patterns in the world around us. But our intuition often lets us down when it comes to interpreting those patterns. In this series we look at some of the common mistakes we make and how to avoid them when thinking about statistics, probability and risk. You don’t […]

Categories: Quantitative, Tools and Resources

Tags: Paradoxes, Statistics, The Conversation

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Avoiding The 7 Deadly Sins of Statistical Misinterpretation

Statistics is a useful tool for understanding the patterns in the world around us. But our intuition often lets us down when it comes to interpreting those patterns. In this series we look at some of the common mistakes we make and how to avoid them when thinking about statistics, probability and risk. 1. Assuming […]

Categories: Quantitative, Tools and Resources

Tags: Statistics

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