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Statistical graphs, charts and tables: data, bar charts, frequency tables and diagrams, pie charts, histograms 4  \n2. Graphs including lines of best fit, proportionality, gradients, relationships and correlations 20  \n3. Percentages and ratios 33  \n4. Visualise and represent 2-D and 3-D forms, including two-dimensional representations of 3-D objects 41  \n5. Calculate areas of triangles and rectangles, surface areas and volumes of cubes 44  \n6. Units and compound units, including conversion between units 47  \n7. Significant figures, decimal places, accuracy 52  \n8. Standard form 55 9. Descriptive statistics – average, mean,  \nquartiles/percentiles and standard deviation 59  \n10. Inferential statistical tests: t-test, Spearman’s Rank,  \nChi-squared 69  \n11. Sampling and data 79  \nAcknowledgements 82  \nIntroduction  \nThis guide to maths for geographers outlines the content that students will have covered in their maths lessons throughout KS3 and KS4 . You can use this guide to help you understand how different areas are approached in maths, and therefore support your teaching of mathematical content in geography lessons.  \nThe guide also provides support for AS and GCE geography in terms of maths skills and other quantitative skills. It should be used alongside the Fieldwork support materials from Pearson and other publishers.  \nThe content is split into distinct mathematical concepts. Each chapter takes you through the terminology used in that area, as well as examples taken from Pearson maths textbooks to show you the methods students should be familiar with when solving mathematical problems.  \nGreen highlighted sections/tables move beyond what is taught in Maths. They have a particular connection or reference to geography and may include geographical examples.  \nSections which are highlighted in purple refer to inconsistencies between what is typically taught in Maths and what is taught in Geography, as well as common student errors.  \n1. Statistical graphs, charts and tables: data, bar charts, frequency tables and diagrams, pie charts, histograms  \n1.1 Data  \nDemand  \nAll students learn the difference between discrete and continuous data in KS3 . They also come across categorical data.  \nTerminology  \nData is either qualitative (descriptive) or quantitative (numerical) and either discrete or continuous data.  \nInconsistency: In geography, discrete data may be called discontinuous data.  \n● Discrete data can only take certain values, e.g. whole numbers, or shoe sizes.  \nContinuous data is measured, e.g. length, time, and can take any value.  \n● Categorical data is where there is no numerical value, but data can still be sorted into groups, e.g. preferences from an interview.  \n● Quantitative data is data which has numerical values and is collected through measurement, e.g. recording slope angles.  \n● Qualitative data is non-numerical data that is used in a relatively unstructured and open-ended way. It is descriptive information, which often comes from interviews, focus groups or artistic depictions such as photographs.  \n● Primary data is new data, which has not previously been collected or processed. All data collected in person is primary data. Secondary data is often obtained through research of what has typically already been published.  \nThe table below gives some examples of other specific data types, specific to AS/A level geography, from the specification skills lists.  \n\n| Example data type | Comment |\n| --- | --- |\n| Big data | Several ideas exist including: large volume of data, complex, high velocity (quick accumulation rates), high levels of variation and variety.\u003Cbr>Examples might include transport (London Underground movements) as well as how companies such as ","cbCainWmTG2EWkkG","https://ap.wps.com/l/cbCainWmTG2EWkkG","pdf",6148480,82,"English","# Introduction\n# 1. Statistical graphs, charts and tables: data, bar charts, frequency tables and diagrams, pie charts, histograms\n## 1.1 Data\n## 1.2 Bar charts\n# 2. Graphs including lines of best fit, proportionality, gradients, relationships and correlations\n# 3. Percentages and ratios\n# 4. Visualise and represent 2-D and 3-D forms, including two-dimensional representations of 3-D objects\n# 5. Calculate areas of triangles and rectangles, surface areas and volumes of cubes\n# 6. Units and compound units, including conversion between units\n# 7. Significant figures, decimal places, accuracy\n# 8. Standard form\n# 9. Descriptive statistics – average, mean, quartiles/percentiles and standard deviation\n# 10. Inferential statistical tests: t-test, Spearman’s Rank, Chi-squared\n# 11. Sampling and data\n# Acknowledgements","[{\"question\":\"What is the purpose of this Maths guide for geographers?\",\"answer\":\"It outlines the maths content covered in learners’ geography maths lessons across KS3 and KS4. It helps teachers and students understand how mathematical concepts are approached in geography teaching and learning.\"},{\"question\":\"How does the guide handle geography-specific context and differences from maths teaching?\",\"answer\":\"Green highlighted sections/tables move beyond taught maths and include links to geography. Purple highlighted sections point out inconsistencies between typical maths teaching and geography teaching, including common student errors.\"},{\"question\":\"Which topics are included in the guide’s statistical content?\",\"answer\":\"The guide covers statistical graphs, charts and tables, including bar charts, frequency tables and diagrams, pie charts, and histograms. It also includes descriptive statistics and inferential tests such as t-test, Spearman’s Rank, Chi-squared, plus sampling and data.\"}]","Guide to Maths for Geographers - AS and A Level Geography | PDF",1792463245,207]