{"id":"https://openalex.org/W4249244745","doi":"https://doi.org/10.1007/978-3-322-95670-5_7","title":"Die Chi-Quadrat-Verteilung","display_name":"Die Chi-Quadrat-Verteilung","publication_year":2002,"publication_date":"2002-01-01","ids":{"openalex":"https://openalex.org/W4249244745","doi":"https://doi.org/10.1007/978-3-322-95670-5_7"},"language":"de","primary_location":{"id":"doi:10.1007/978-3-322-95670-5_7","doi":"https://doi.org/10.1007/978-3-322-95670-5_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-322-95670-5_7","pdf_url":null,"source":{"id":"https://openalex.org/S4306464262","display_name":"VS Verlag f\u00fcr Sozialwissenschaften eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319986","host_organization_name":"Springer VS","host_organization_lineage":["https://openalex.org/P4310319986","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer VS","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Schlie\u00dfende Statistik","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4236550489","display_name":"Schlie\u00dfende Statistik"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026058037","display_name":"Heinz Sahner","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Heinz Sahner","raw_affiliation_strings":["Halle, Deutschland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Halle, Deutschland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5026058037"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66078117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13500","display_name":"Probability and Statistical Research","score":0.8568999767303467,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13500","display_name":"Probability and Statistical Research","score":0.8568999767303467,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.05979999899864197,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13141","display_name":"Statistical Methods and Applications","score":0.05310000106692314,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/chi-square-distribution","display_name":"chi-square distribution","score":0.9919999837875366},{"id":"https://openalex.org/keywords/significance-testing","display_name":"significance testing","score":0.902999997138977},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.7289999723434448},{"id":"https://openalex.org/keywords/goodness-of-fit-tests","display_name":"goodness-of-fit tests","score":0.5400000214576721},{"id":"https://openalex.org/keywords/independence-testing","display_name":"independence testing","score":0.6579999923706055},{"id":"https://openalex.org/keywords/categorical-data","display_name":"categorical data","score":0.796999990940094},{"id":"https://openalex.org/keywords/proportion","display_name":"proportion","score":0.4099999964237213},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"normal distribution","score":0.6129999756813049},{"id":"https://openalex.org/keywords/student-s-t-distribution","display_name":"t-distribution","score":0.9959999918937683}],"concepts":[{"id":"https://openalex.org/C29456083","wikidata":"https://www.wikidata.org/wiki/Q1221899","display_name":"Gynecology","level":1,"score":0.4351252615451813},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20754313468933105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-322-95670-5_7","doi":"https://doi.org/10.1007/978-3-322-95670-5_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-322-95670-5_7","pdf_url":null,"source":{"id":"https://openalex.org/S4306464262","display_name":"VS Verlag f\u00fcr Sozialwissenschaften eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319986","host_organization_name":"Springer VS","host_organization_lineage":["https://openalex.org/P4310319986","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer VS","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Schlie\u00dfende Statistik","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2049533288","https://openalex.org/W1608536533","https://openalex.org/W2314281283","https://openalex.org/W1529346669","https://openalex.org/W175112394","https://openalex.org/W1956289930","https://openalex.org/W2020981529","https://openalex.org/W2883081861","https://openalex.org/W2238152496","https://openalex.org/W1489793539"],"abstract_inverted_index":{"In":[0],"den":[1,19,39,76],"vorangegangenen":[2],"Ausf\u00fchrungen":[3],"haben":[4,33,48],"wir":[5,12,32,49,88,135],"M\u00f6glichkeiten":[6],"dargelegt,":[7],"Signifikanzpr\u00fcfungen":[8],"durchzuf\u00fchren.":[9],"So":[10],"konnten":[11],"z.B.":[13],"\u00fcberpr\u00fcfen,":[14],"ob":[15,35,65],"die":[16,66,80,104,130],"Differenz":[17,37,52,105],"zwischen":[18,94],"Mittelwerten":[20],"zweier":[21],"Stichproben":[22,82],"signifikant":[23],"ist":[24],"oder":[25,64,125],"nicht":[26,91],"(vgl.":[27,108],"S.":[28,57,112],"73f).":[29],"Das":[30],"hei\u00dft,":[31],"gepr\u00fcft,":[34],"diese":[36],"von":[38,53,106],"Differenzen":[40],"in":[41,75],"der":[42,46,62,68,92,132,137,143],"Grundgesamtheit":[43],"(im":[44],"Falle":[45],"Nullhypothese":[47],"hypothetisch":[50],"eine":[51],"Null":[54],"angenommen,":[55],"vgl.":[56],"73ff)":[58],"zuf\u00e4llig":[59],"abweicht":[60],"(Best\u00e4tigung":[61],"Nullhypothese)":[63],"Abweichung":[67],"beiden":[69,81],"Mittelwerte":[70],"voneinander":[71],"auf":[72,98],"tats\u00e4chliche":[73],"Unterschiede":[74],"Grundgesamtheiten,":[77],"aus":[78],"denen":[79],"stammen,":[83],"zur\u00fcckzuf\u00fchren":[84],"ist.":[85],"\u00c4hnlich":[86],"sind":[87],"verfahren,":[89],"wenn":[90],"Unterschied":[93],"einem":[95],"quantitativen":[96],"Merkmal":[97],"Signifikanz":[99,133],"zu":[100],"pr\u00fcfen":[101],"war,":[102],"sondern":[103],"Proportionen":[107],"hier":[109],"vor":[110],"allem":[111],"57ff).":[113],"Hier":[114],"ging":[115],"es":[116],"also":[117],"um":[118],"qualitative":[119],"Merkmale":[120],"mit":[121],"zwei":[122],"Auspr\u00e4gungen":[123],"(CDU-Pr\u00e4ferenz":[124],"nicht).":[126],"Als":[127],"Hilfsmittel":[128],"f\u00fcr":[129],"\u00dcberpr\u00fcfung":[131],"bedienten":[134],"uns":[136],"Normalverteilung":[138],"(bei":[139,145],"umfangreichen":[140],"Stichproben)":[141],"bzw.":[142],"t-Verteilung":[144],"kleineren":[146],"Stichproben,":[147],"n":[148],"<":[149],"30).":[150]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2025-10-10T00:00:00"}