This new and expanded edition is intended to help candidates prepare for entrance examinations in mathematics and scientific subjects, including STEP (Sixth Term Examination Paper). STEP is an examination used by Cambridge Colleges for conditional offers in mathematics. They are also used by some other UK universities and many mathematics departments recommend that their applicants practice on the past papers even if they do not take the examination.

Advanced Problems in Mathematics bridges the gap between school and university mathematics, and prepares students for an undergraduate mathematics course. The questions analysed in this book are all based on past STEP questions and each question is followed by a comment and a full solution. The comments direct the reader’s attention to key points and put the question in its true mathematical context. The solutions point students to the methodology required to address advanced mathematical problems critically and independently.

This book is a must read for any student wishing to apply to scientific subjects at university level and for anyone interested in advanced mathematics.

A focus on novel, confirmatory, and statistically significant results leads to substantial bias in the scientific literature. One type of bias, known as “p-hacking,” occurs when researchers collect or select data or statistical analyses until nonsignificant results become significant. Here, we use text-mining to demonstrate that p-hacking is widespread throughout science. We then illustrate how one can test for p-hacking when performing a meta-analysis and show that, while p-hacking is probably common, its effect seems to be weak relative to the real effect sizes being measured. This result suggests that p-hacking probably does not drastically alter scientific consensuses drawn from meta-analyses.

This is the Project MathTalk homepage that has videos on the following topics: Parabolas, Proportions, Algebraic Expressions, Exponentials, Logarithms, Binomials, Trigonometry, and more.  Over 400 FREE, short, online videos that feature students working on mathematics problems and resolving their struggles through conversation. The instructional approach to the videos draws on evidence-based practices from the latest research in mathematics education. Engaging with the videos enables learners to explore conceptually rich mathematics problems by watching other students talk about math problems via an accessible online platform. The site also contains useful materials for teachers, researchers, and teacher educators. 

This long (26 minute) presentation shows how to use an Excel spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials. [Statistics playlist: Lesson 28 of 85]

This module discusses how taxonomic names for the genus and species categories are formed and standardized, and how the rules are bent when it comes to famous beasts, such as well known dinosaurs.