An Excel spreadsheet which automatically calculates the critical value for the Mann Whitney U Test. A good way for students to check their long-hand working, or a way to analyse primary data for students who are not confident in their maths skills.

A student guide to this simple statistical test. This worksheet gives examples of a variety of geographical investigations which can use interquartile ranges as well as a fully worked example for students to follow.

A full significance table for use with the Spearman’s Rank Correlation Coefficient. This version shows five different levels of significance.

A quick guide for students about to undertake fieldwork, highlighting some of the key ways they can keep themselves and others safe.

A full significance table for use with the Chi Squared test. This version shows five different levels of significance.

This book offers advice to A Level geography teachers looking to create higher and more sustainable levels of independent research skills in their students, specifically for those looking to complete the NEA (Independent Investigation). The book also contains nine classroom-ready worksheets which provide tasks and guidance to students.

A student guide for the use of Z scores within geographical research. Includes a step-by-step guide showing students how to calculate them.

A comprehensive guide to one of the more commonly used statistical tests in geography. As well as highlighting the strengths of Chi Squared and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse questionnaire data.

A comprehensive guide to one of the more commonly used statistical tests in geography. As well as highlighting the benefits of the Mann Whitney U Test and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse favourability scores.

A set of Excel spreadsheets which automatically calculate critical values for six of the most widely used statistical tests in geography A Level: Spearman’s Rank Correlation Coefficient Mann Whitney U Test Chi Squared Test Student’s T Test Pearson Product Moment Correlation Coefficient Simpson’s Diversity Index A good way for students to check their long-hand working, or a way to analyse primary data for students who are unconfident in their maths skills.

A student guide to this simple statistical test. The worksheet gives examples of geographical investigations in which one can use location quotients as well as a fully worked example for students to follow.

This guide introduces geography students to the initial stages of statistical analysis by highlighting some of the necessary considerations when choosing a stats test and some of the key terms they need to know and use.

A comprehensive guide to one of the most commonly used statistical tests in geography. As well as highlighting the value of Spearman’s Rank and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse questionnaire data.A comprehensive guide to one of the most commonly used statistical tests in geography. As well as highlighting the value of Spearman’s Rank and the parameters needed for its correct use, this guide also provides a step-by-step set of instructions and a worked example showing how it can be used to analyse questionnaire data.

A worksheet designed to support students in becoming more independent as they start and complete their NEA. Students are asked to justify their choice of title via a balloon debate - the worksheet highlights some of the key areas that their justifications should cover. This enables students to see the relative strengths and weaknesses in each others’ titles and encourages them to make their NEA titles as strong as possible.

An Excel spreadsheet which automatically calculates the critical value for Spearman’s Rank Correlation Coefficient A good way for students to check their long-hand working, or a way to analyse primary data for students who are not confident in their maths skills.

A simple, step by step guide to presenting quantitative data on a map in ArcGIS and creating a new layer of information.

A worksheet designed to support students in becoming more independent as they start and complete their NEA. Students are asked to come up with questions regarding their chosen research location which they can then analyse in themselves and categorise, highlighting particular strengths and weaknesses. This is to help them recognise a strong geographical research title at the start of their NEA process.

A worksheet designed to support students in becoming more independent as they start and complete their NEA. Students are asked to define the different forms of data they may need to collect as part of their NEA. This encourages students to think more widely about the nature of data and how different forms of data might be collected independently.

An Excel spreadsheet which automatically calculates the critical value for the Student’s T test. A good way for students to check their long-hand working, or a way to analyse primary data for students who are not confident in their maths skills.

A worksheet designed to support students in becoming more independent as they start and complete their NEA. Students are asked to complete a quiz that ranks their research activities in terms of the level of independence they have displayed.