[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-208333-en":3,"doc-seo-208333-105":30,"detail-sidebar-cat-0-en-105":89},{"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":4,"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},208333,1374404737137,"Adam","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",4,"Exam","GCSE Statistics Revision Notes","Revision notes covering core GCSE Statistics concepts: types of data (quantitative, qualitative, continuous, discrete, categorical, ordinal), univariate and bivariate relationships, and primary versus secondary data. Explains collecting data through questionnaires, key questionnaire features, open and closed questions, pilot surveys, hypotheses, and extraneous variables with control groups, random selection, and matched pairs. Includes sampling fundamentals such as population, census, samples, biased samples, and sampling frames, plus sampling methods like random, systematic, cluster, and opportunity sampling with typical advantages and disadvantages, including response and representativeness limits.","| Types of Data  \u003Cbr>·Quantitative -numerical observations or measurements.  \u003Cbr>·Qualitative-non-numerical observations  \u003Cbr>·Continuous -can take any value on a continuous numerical scale  \u003Cbr>·Discrete-can only take particular values  \u003Cbr>·Categorical-can be sorted into non-overlapping categories e.g.gender.  \u003Cbr>·Ordinal -can be written in order of be given a rating scale.  \u003Cbr>·Bivariate -involves a pair of related data.  \u003Cbr>·Multivariate -involves sets of 3 or more related data values.  \u003Cbr>·Primary data-collected by,or for,the person using it.  \u003Cbr>·Secondary data-has already been collected by someone else.   | Collecting Data  \u003Cbr>·Questionnaire-aset of questions designed to obtain data.  \u003Cbr>·Featuresof a good questionnaire:short questions,simple language,no  \u003Cbr>leading questions,non-overlapping boxes,time frame in question,  \u003Cbr>ортоп Ьохез апе ехПаизТуе,по регбопаГ диезТюопз  \u003Cbr>·Open question-has no suggested answers  \u003Cbr>·Closed question-has a set of given answers to choose from  \u003Cbr>·Pilot survey-asmall scale version of the survey to test the design and  \u003Cbr>methods of thatsurvey.  \u003Cbr>·Hypothesis-a statement made as a starting point of an investigation  \u003Cbr>Сеапеа аата- таае ьу юеппгутд апа азбеззнд ехтгете уашез,тбзнд  \u003Cbr>оота опо еггогб ЬеТоге йБ ибео  \u003Cbr>·Extraneous variables-variables you are not interested in but could affect  \u003Cbr>the result of your experiment  \u003Cbr>·Control group-used to test the effectiveness of a treatment.  \u003Cbr>·Use random selection to select 2 groups of people  \u003Cbr>·Give the test group the treatment,control group no treatment  \u003Cbr>·Compare resuits from 2 groups to see how effective treatment is  \u003Cbr>Matched Pairs Test-2 roups of equaly matched(agе/genderетс.)реоре  \u003Cbr>used to test effect of a particular factor.Everything in common except  \u003Cbr>factor being studied.  \u003Cbr>·Simulations-model random real life events,to help you predict what could  \u003Cbr>actually happen.May be easier and cheaper than collecting real life data.   |\n| --- | --- |\n|  |  |\n| Sampling  \u003Cbr>·Population -everything or everybody that could possibly be  \u003Cbr>involved in an investigation.  \u003Cbr>·Census -a survey of a whole population  \u003Cbr>·Sample-a smaller number of items from the population  \u003Cbr>·Biased Sample-not representative of everyone in the population  \u003Cbr>·Sampling frame -a list of people/items that are to be sampled.   |  |\n|  |  |\n\n\n| Diadvanteges   |\n| --- |\n| Пте сопвитипд  \u003Cbr>Accurate  \u003Cbr>Can find answers to  \u003Cbr>specific questions   |\n| МетПод оГ соПєстюп  \u003Cbr>eo  \u003Cbr>Easy  \u003Cbr>ипкпаип  \u003Cbr>Бата тауЬе оит оЁ оатє  \u003Cbr>ата Ггот воте  \u003Cbr>May contain mistakes  \u003Cbr>Мау соте {гот ипгеЛаЫе  \u003Cbr>тоге геПаЫє тпап аата  \u003Cbr>ригсс  \u003Cbr>May be difficult to find  \u003Cbr>lected yeursel  \u003Cbr>answers to specific  \u003Cbr>диезтюпв   |\n|  |\n| Disadvantages   |\n\nMis the number of members of the population thatare captured initiallyand tagged.nis the number of members of the population thatare captured subsequently.mis the number ofmembers ofthis subsequent captured population thatare tagged.  \n|  |  | Пте сопвитйпд   |\n| --- | --- | --- |\n|  | Accurate  \u003Cbr>Takes into account  \u003Cbr>entire populafiоп   | Expensive  \u003Cbr>Lots of data to manoge  \u003Cbr>ОННсиН то епзиге  \u003Cbr>whole populationis  \u003Cbr>used   |\n|  |  |  |\n|  |  |  |\n| Sample   | Спеарег  \u003Cbr>Оискег  \u003Cbr>Less data to  \u003Cbr>consider   | Мау Ье Ыюбеа  \u003Cbr>Not completely  \u003Cbr>representative   |\n\n:Probsbility ofof ing caught is eqully iely forallinividuals.  \n\n|  | Sample size S arge епоидh   |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | Method   | Deseription   | Example二   | Advantages二   | Ыкойкол!одез   |\n|  |  |  | Randem Sampling   | Ечегу тетЬегоЁЧле роршаНоп паз  \u003Cbr>an equal chance of being selected.   | Pulling names frem a hat,using  \u003Cbr>randem number tables or  \u003Cbr>делелa\"ons ona cacuaior.   | Sample is more likely to be  \u003Cbr>representative of the  \u003Cbr>populatien,provided it is  \u003Cbr>large.  \u003Cbr>Chaice of members of sample  \u003Cbr>is","cbCaim1Ez8ycJBbh","https://ap.wps.com/l/cbCaim1Ez8ycJBbh","pdf",3054318,1,2,"English","en",105,"# Types of Data\n# Collecting Data\n## Questionnaires\n## Hypothesis and Experimental Design\n# Sampling\n## Population, Census, Sample\n# Advantages and Disadvantages\n# Sampling Methods","[{\"question\":\"What are the main types of data used in GCSE Statistics?\",\"answer\":\"The notes cover quantitative and qualitative data, continuous and discrete data, categorical and ordinal data, plus bivariate and multivariate data involving pairs or sets of related values.\"},{\"question\":\"What makes a good questionnaire?\",\"answer\":\"A good questionnaire uses short questions and simple language, avoids leading questions, uses non-overlapping response boxes, includes an appropriate time frame, and supports clear answering.\"},{\"question\":\"How do control groups and random selection help when comparing treatments?\",\"answer\":\"A control group receives no treatment and is used to test effectiveness. Random selection helps form comparable groups so results from the test group and control group can be compared fairly.\"}]","GCSE Statistics Revision Notes | PDF",1788603525,5,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":28},"gcse-statistics-revision-notes","",{"@graph":36,"@context":83},[37,52,66],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,47,50],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":21},"https://docshare.wps.com/document/","Document",{"item":48,"name":12,"@type":43,"position":49},"https://docshare.wps.com/document/exam/",3,{"item":51,"name":13,"@type":43,"position":11},"https://docshare.wps.com/document/gcse-statistics-revision-notes/208333/",{"url":51,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"inLanguage":23,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":41,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-09-05",true,{"@type":63,"interactionType":64,"userInteractionCount":4},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"What are the main types of data used in GCSE Statistics?","Question",{"text":73,"@type":74},"The notes cover quantitative and qualitative data, continuous and discrete data, categorical and ordinal data, plus bivariate and multivariate data involving pairs or sets of related values.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"What makes a good questionnaire?",{"text":78,"@type":74},"A good questionnaire uses short questions and simple language, avoids leading questions, uses non-overlapping response boxes, includes an appropriate time frame, and supports clear answering.",{"name":80,"@type":71,"acceptedAnswer":81},"How do control groups and random selection help when comparing treatments?",{"text":82,"@type":74},"A control group receives no treatment and is used to test effectiveness. 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