Дисперсиялық талдаудың негізгі мақсаты таңдамалы дисперсияны екі құрамдас бөлікке бөлу:
біріншісі – бұл орташа мәндердің өзгеруіне әсерін тігізетін факторге сәйкес келетін факторлық дисперсия;
екіншісі – бұл кездейсоқ себептер әсерінен пайда болатын, орташалардың өзгергіштігіне әсерін тигізбейтін қалдық дисперсия.
Зерттелетін факторды сандық жағынан бағалау үшін осы құрамдас бөліктерді Фишер белгісімен салыстыру қолданылады.
Факторлық дисперсия (S2факт) – бұл фактордың әсерінен таңдаманың орташа шамаларының өзгеруіне сәйкес келетін дисперсия:
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мұндағы SSфакт - орташа квадраттық ауытқулардын факторлық қосындысы, k - фактор деңгейлерінің саны; r - әр топтағы мәндер саны; - жалпы орташа; хтоп - топтық орташа.
Қалдық дисперсия (S2қалд) – бұл орташа шамалардың өзгеруіне ықпал етпейтін, кездейсоқ себептер әсерінен ғана болатын дисперсия:
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мұндағы SS қалд – ауытқулар квадраттарының қалдық қосындысы.
Жалпы дисперсия – бұл факторлық және қалдық дисперсияның қосындысы:
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мұндағы ![](data:image/png;base64,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) 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) .
Бірфакторлық дисперсиялық талдау – белгіге тек бір фактордың тегізетін әсерін зерттеудің статистикалық әдістерінің жүйесі.
Бір факторлық дисперсиялық талдау әдісі, белгі нәтижесі шарттың өзгеру әсерінен немесе қандай да бір фактор дамуының өзгерулері зерттеліп отырған жағдайларда ғана қолданылады.
Бір факторлық дисперсиялық талдауды жүргізу ретті.
1) Нөлдік және баламалық болжамды тұжырымдау:
Но: топтық бас орташалар тең. Тандамалы орташалардың айырмашылығы кездейсоқ шыққан, фактор әсерін тигізбейді.
Н1: тандамалы орташалардың айырмашылығы кездейсоқ емес және фактор әсерінен болады.
2) «р» маңыздылық деңгейі (фармация, медицина және биологияда р=0,05) беріледі.
3) S2факт және S2қалд есептеледі.
Егер S2факт ≤ S2қалд болса, онда нөлдік болжам қабылданады.
Егер S2факт >S2қалд болса, Фишер-Снедекор үлестірумі бар белгі есептеледі:
4) f1=k-1 және f2=k(r-1) еркіндік дәріжелеріне сәйкес Фишер-Снедекор үлестірім кестесінен анықталады.
5) Fбақ және салыстырылады:
Егер Fбақ< болса, онда берілген маңыздалақ деңгейінде Н0 нөлдік болжам қабылданады және фактор орта мәндеріне елеулі әсерін тигізбейді деген қорытынды шығарылады.
Егер Fбақ > болса, онда нөлдік болжам қабылданбайды да, фактордың әсері елеулі деп танылады.
«F» белгінің сипатты таңдамалылар бойынша есептелген орташалар теңдігі туралы нөлдік болжамды қабылдаумен немесе қабылдамаумен тікелей байланысты.
«F» белгіні дисперсиялық қатынас деп атайды. Дисперсиялық талдау нәтижелері жинақталған кесте:
Нұсқалар, дисперсия көзі
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Ауытқулар квадраттарының қосындасы
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Еркіндік дәріжелер
саны
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MS орташа квадрат
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Fбақ
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Топаралық (А факторы)
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k-1
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S2факт
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Топішілік (қалдық)
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k(r-1)
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S2қалд
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Жалпы
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n-1
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Достарыңызбен бөлісу: |