[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-208336-en":3,"doc-seo-208336-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},208336,962088006270,"eBook King","https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",4,"Exam","Edexcel GCSE Statistics Student Book - Progression","Edexcel GCSE (9–1) Statistics, New edition, presents a progression-led course covering core strands of GCSE statistics: collection, processing, representation, summarising and interpreting data. The content moves from describing and sampling data to selecting appropriate diagram formats, calculating averages and measures of spread, and analyzing scatter, correlation and time series. It also develops probability, probability distributions, index numbers and statistical thinking, reinforced through check-ups, strengthen/extend tasks and test sections.","11 – 19 PROGRESSION  \nEdexcel GCSE (9–1)  \nStatistics  \nNew edition  \n\nContents  \nHow to use this book 5  \n1 Collection of data 6  \n1.1 Describing data 7  \n1.2 Grouping data 9  \n1.3 Primary and secondary data 14  \n1.4 Populations 17  \n1.5 Petersen capture–recapture formula 20  \n1.6 Random sampling 22  \n1.7 Non-random sampling 24  \n1.8 Stratified sampling 27  \n1.9 Collection of data 29  \n1.10 Questionnaires and interviews 33  \n1.11 Problems with collected data 38  \n1.12 Controlling extraneous variables 40  \n1.13 Hypotheses 43  \n1.14 Designing investigations 44  \nCheck up 46  \nStrengthen 48  \nExtend 51  \nSummary 54  \nTest 55  \n2 Processing and representing data 56  \n2.1 Tables 57  \n2.2 Two-way tables 61  \n2.3 Pictograms 64  \n2.4 Bar charts 67  \n2.5 Stem and leaf diagrams 72  \n2.6 Pie charts 76  \n2.7 Comparative pie charts 79  \n2.8 Population pyramids 83  \n2.9 Choropleth maps 89  \n2.10 Histograms and frequency polygons 94  \n2.11 Cumulative frequency charts 98  \n2.12 The shape of a distribution 103  \n2.13 Histograms with unequal class widths 107  \n2.14 Misleading diagrams 113  \n2.15 Choosing the right format 116  \nCheck up 121  \nStrengthen 126  \nExtend 131  \nSummary 135  \nTest 137  \n3 Summarising data 140  \n3.1 Averages 141  \n3.2 Averages from frequency tables 144  \n3.3 Averages from grouped data 148  \n3.4 Transforming data 155  \n3.5 Geometric mean and weighted mean 158  \n3.6 Measures of dispersion for discrete data 161  \n3.7 Measures of dispersion for grouped data 164  \n3.8 Standard deviation 170  \n3.9 Box plots and outliers 175  \n3.10 Skewness 180  \n3.11 Deciding which average to use 183  \n3.12 Comparing data sets 186  \n3.13 Making estimates 191  \nCheck up 194  \nStrengthen 197  \nExtend 200  \nSummary 202  \nTest 204  \n4 Scatter diagrams and correlation 206  \n4.1 Scatter diagrams 207  \n4.2 Correlation 210  \n4.3 Causal relationships 212  \n4.4 Line of best fit 217  \n4.5 Interpolation and extrapolation 219  \n4.6 The equation of a line of best fit 224  \n4.7 Spearman’s rank correlation coe􀂏cient 228  \n4.8 Calculating Spearman’s rank correlation coe􀂏cient 231  \n4.9 Pearson’s product moment correlation coe􀂏cient 233  \nCheck up 237  \nStrengthen 239  \nExtend 241  \nSummary 242  \nTest 243  \n5 Time series 244  \n5.1 Line graphs and time series 245  \n5.2 Trend lines 248  \n5.3 Variations in a time series 250  \n5.4 Moving averages 253  \n5.5 Estimating seasonal variations and making predictions 257  \nCheck up 264  \nStrengthen 266  \nExtend 267  \nSummary 269  \nTest 270  \nContents  \n6 Probability 272  \n6.1 The meaning of probability 273  \n6.2 Experimental probability 277  \n6.3 Using probability to assess risk 280  \n6.4 Sample space diagrams 282  \n6.5 Venn diagrams 285  \n6.6 Mutually exclusive and exhaustive events 290  \n6.7 The general addition law 294  \n6.8 Independent events 296  \n6.9 Tree diagrams 298  \n6.10 Conditional probability 302  \n6.11 The formula for conditional probability 306  \nCheck up 308  \nStrengthen 310  \nExtend 313  \nSummary 315  \nTest 317  \n7 Index numbers 318  \n7.1 Index numbers 319  \n7.2 RPI, CPI and GDP 322  \n7.3 Chain base index numbers 326  \n7.4 Rates of change 328  \nCheck up 334  \nStrengthen 336  \nExtend 338  \nSummary 339  \nTest 340  \n8 Probability distributions 342  \n8.1 Binomial distributions 343  \n8.2 Normal distributions 347  \n8.3 Standardised scores 355  \n8.4 Quality assurance and control charts 356  \nCheck up 362  \nStrengthen 364  \nExtend 367  \nSummary 368  \nTest 369  \nThinking statistically 371  \nPreparing foryour exams 375  \nAnswers 383  \nIndex 432  \nHow to use this book  \nThis book is designed to give you the best preparation for your GCSE Statistics examination.  \n• Follows the same structure as the Edexcel scheme of work  \n• Supports both Foundation and Higher students  \n• O«ers di«erentiated questions  \n• Features exam-style questions and exam preparation sections  \n• Gets you thinking statistically  \n• Includes support on calculators  \nHigher tier content is clearly marked throughout the book.  \nThere are worked exam","cbCais6X8PUIgLqE","https://ap.wps.com/l/cbCais6X8PUIgLqE","pdf",3547742,1,15,"English","en",105,"# How to use this book\n## Collection of data\n## Processing and representing data\n## Summarising data\n## Scatter diagrams and correlation\n## Time series\n## Probability\n## Index numbers\n## Probability distributions\n# Thinking statistically\n# Preparing for your exams\n# Answers\n# Index","[{\"question\":\"What topics are covered in the early units of this Edexcel GCSE Statistics progression?\",\"answer\":\"The early units focus on collecting data, describing and grouping it, distinguishing data types, and learning sampling methods, questionnaires and interviews, then move into processing and representing data using multiple diagram and chart types.\"},{\"question\":\"How does the book develop skills for interpreting data?\",\"answer\":\"It builds from summarising data with averages, measures of dispersion and standard deviation, to identifying outliers with box plots, assessing skewness, deciding which average to use, comparing datasets, and making estimates.\"},{\"question\":\"Which later areas extend the course into modelling and risk?\",\"answer\":\"Later units cover scatter diagrams and correlation (including best-fit lines and correlation coefficients), time series and seasonal variation, then probability, probability distributions, and index numbers to support risk assessment and change over time.\"}]","Edexcel GCSE Statistics Student Book - Progression | 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topics are covered in the early units of this Edexcel GCSE Statistics progression?","Question",{"text":75,"@type":76},"The early units focus on collecting data, describing and grouping it, distinguishing data types, and learning sampling methods, questionnaires and interviews, then move into processing and representing data using multiple diagram and chart types.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the book develop skills for interpreting data?",{"text":80,"@type":76},"It builds from summarising data with averages, measures of dispersion and standard deviation, to identifying outliers with box plots, assessing skewness, deciding which average to use, comparing datasets, and making estimates.",{"name":82,"@type":73,"acceptedAnswer":83},"Which later areas extend the course into modelling and risk?",{"text":84,"@type":76},"Later units cover scatter diagrams and correlation (including best-fit lines and correlation coefficients), time series and seasonal 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