Statistical Distribution Theory
Statistical Distribution Theory - UNSPECIFIED Keywords:mathbank
Intro to Statistical Modelling
Intro to Statistical Modelling - UNSPECIFIED Keywords:mathbank
Airline Safety and the Electoral College
Somehow Arnold Barnett manages to massage the subject of airline accidents into a breezy and sometimes comforting talk on statistical probabilities. In decades of research, he has taken firm hold of the metrics of measuring mortality in flight. While there are many ways of looking at the grim numbers, Barnett has de
Inside Spotify with Mike King and Dave Altarescu
Berklee Online instructor Mike King and Spotify's Dave Altarescu sit down for an in-depth, musician-focused conversation on Spotify. Millions of people listen on Spotify, but how well do you really know the service? And how well are you leveraging the marketing opportunities available to you as an artist? Learn more about Mike's Online Music Marketing course at: bit.ly/171LN9F
11.360 Community Growth and Land Use Planning (MIT)
This subject explores the techniques, processes, and personal and professional skills required to effectively manage growth and land use change. While primarily focused on the planning practice in the United States, the principles and techniques reviewed and presented may have international application. This course is not for bystanders; it is designed for those who wish to become actively involved or exposed to the planning discipline and profession as it is practiced today, and as it may need
DCSF Statistical First Releases
A link to the DCSF news page for the release of statistical information.
It's the Effect Size, Stupid: What effect size is and why it is important
This BERA conference paper shows how effect size can be used to assess the effects of innovations in classrooms or schools. Effect size is a way to quantify the differences between two groups. It goes beyond statistical significance by looking at the size of the effect of an intervention, how big is the effect of the innovation. The paper shows how to calculate and interpret effect size, using a number of examples. It also warns that effect size is not about cause and effect but about difference
This unit looks at a wide variety of ways of comparing prices and the construction of a price index. You will also look at the Retail Price Index (RPI) and the Consumer Price Index (CPI), indices used by the UK Government to calculate the percentage by which prices in general have risen over any given period. You wil also look at the important statistical and mathematical ideas that contribute to the construction of a price index.
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Covers the basics of R software and the key capabilities of the Bioconductor project (a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology and rooted in the open source statistical computing environment R), including importation and preprocessing of high-throughput data from microarrays and other platforms. Also introduces statistical concepts and tools necessary t
Methods in Biostatistics II
Presents fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. Topics include discrete and continuous probability models; expectation and variance; central limit theorem; inference, including hypothesis testing and confidence for means, proportions, and counts; maximum likelihood estimation; sample size determinations; elementary non-parametric methods; graphical displays; and data transform
Deprivation and Education: The evidence on pupils in England, Foundation Stage to Key Stage 4
This Government paper summarises research and statistical evidence about the effect of deprivation on the education of pupils from the foundation stage to key stage 4 in maintained mainstream schools. It is written by the Schools Analysis and Research Division of the DCSF.
Language Learning Provision at Key Stage 2: Findings from the 2007 Survey
This is the DCSF funded statistical report “of the nature and extent of language learning provision at Key Stage 2 (KS2) in schools in England”, conducted by the National Foundation for Educational Research (NFER). Additionally, it tracks the progress of the 2010 target of the introduction of the KS2 entitlement to language learning within class time. It cites statistical evidence to support its findings.