Statistic

Page 8

‫ﺃﺳﺎﻟﻴﺐ ﺍﻛﺘﺸﺎﻑ ﺍﳌﺸﺎﻫﺪﺍﺕ ﺍﻟﺸﺎﺫﺓ ﻭﺍﳌﺆﺛﺮﺓ ﻋﻠﻰ ﺍﻻﳓﺪﺍﺭ ﺍﳋﻄﻲ‪.‬‬

‫ﻭﺣﻴﺚ ﺃﻥ‬

‫‪Xi‬‬

‫ﲣﺺ ﻓﻘﻂ ﺍﳌﺸﺎﻫﺪﺓ ‪: i‬‬ ‫‪ 1 ‬‬ ‫‪ X ‬‬ ‫‪ i ,1 ‬‬ ‫‪Xi = . ‬‬ ‫‪‬‬ ‫‪‬‬ ‫‪ . ‬‬ ‫‪ X i , p −1 ‬‬ ‫‪‬‬ ‫‪‬‬

‫ﻛﺬﻟﻚ ﻣﻦ ﺧﻮﺍﺹ ﺍﻟﻌﻨﺼﺮ ﺍﻟﻘﻄﺮﻱ ﺃﻥ ﻗﻴﻤﺘﻬﺎ ﺗﻘﻊ ﺑﲔ ﺍﻟﺼﻔﺮ ﻭﺍﻟﻮﺍﺣﺪ ﻭﺍﻥ ﳎﻤﻮﻋﻬﺎ ﻳﺴﺎﻭﻱ ‪:p‬‬ ‫‪=p‬‬

‫‪n‬‬

‫‪∑h‬‬

‫‪0 ≤ hii ≤ 1 ,‬‬

‫‪ii‬‬

‫‪i =1‬‬

‫ﺣﻴﺚ ‪ p‬ﺗﺴﺎﻭﻱ ﻋﺪﺩ ﻣﻌﺎﱂ ﰲ ﳕﻮﺫﺝ ﺍﻻﳓﺪﺍﺭ ﺍﳋﻄﻲ‪.‬‬ ‫ ﻃﺮﻳﻘﺔ ﻛﺸﻒ ﺍﻟﻘﻴﻢ ﺍﻟﻘﺎﺻﻴﺔ ﰲ ﺍﳌﺘﻐﲑﺍﺕ ﺍﳌﺴﺘﻘﻠﺔ ﺑﺎﺳﺘﺨﺪﺍﻡ ﻗﻴﻢ ﺍﻟﺮﺍﻓﻌﺔ ‪: hii‬‬‫ﺗﻌﺘﱪ ﻗﻴﻢ ﺍﻟﺮﺍﻓﻌﺔ‬ ‫ﻭﻓﻘﹰﺎ ﻟﻠﻌﻼﻗﺔ‪.‬‬

‫‪hii‬‬

‫ﻛﺒﲑﺓ ﺇﺫﺍ ﲡﺎﻭﺯﺕ ﺿﻌﻒ ﻣﺘﻮﺳﻂ ﻗﻴﻢ ﺍﻟﺮﺍﻓﻌﺔ ﻭﻧﺮﻣﺰ ﳍﺎ ﺑـ‬

‫_‬

‫‪h‬‬

‫ﻭﻫﻲ ﺗـﺴﺎﻭﻱ‬ ‫‪n‬‬

‫‪p‬‬ ‫‪n‬‬

‫ﺑﺎﻟﺘﺎﱄ ﻓﺄﻥ ﻗﻴﻢ ﺍﻟﺮﺍﻓﻌﺔ ﺍﻷﻛﱪ ﻣﻦ ﺿﻌﻒ ﻣﺘﻮﺳﻂ ﻗﻴﻢ ﺍﻟﺮﺍﻓﻌﺔ‬

‫‪2p‬‬ ‫‪n‬‬

‫‪∑h‬‬

‫‪ii‬‬

‫=‬

‫‪i =1‬‬

‫‪n‬‬

‫_‬

‫=‪h‬‬

‫ﺗﻌﺘﱪ ﻗﻴﻢ ﻗﺎﺻﻴﺔ ﻭﻓﻘﹰﺎ ﳍﺬﻩ‬

‫ﺍﻟﻘﺎﻋﺪﺓ‪ ،‬ﻭﻫﻲ ﻣﺆﺷﺮ ﺟﻴﺪ ﻟﻮﺟﻮﺩ ﻣﺸﺎﻫﺪﺍﺕ ﻗﺎﺻﻴﺔ‪ .‬ﺃﻱ ﺇﺫﺍ ﻛﺎﻥ‪:‬‬ ‫‪2p‬‬ ‫‪n‬‬

‫> ‪hii‬‬

‫ ﺗﻄﺒﻴﻖ )‪:(1-1‬‬‫ﰲ ﺑﻴﺎﻧﺎﺕ ﻃﺒﻴﺔ ﺳﺤﺒﺖ ﻣﻦ ﻣﺴﺘﺸﻔﻰ ﺃ‪‬ﺎ ﻟﻠﻨﺴﺎﺀ ﻭﺍﻟﻮﻻﺩﺓ ﻟﻘﻴﺎﺱ ﺍﻟﻌﻼﻗﺔ ﺑﲔ ﻭﺯﻥ ﺍﻟﻄﻔﻞ‬ ‫)ﺑﺎﻟﻜﻴﻠﻮ ﺟﺮﺍﻡ( ﻭﺗﺄﺛﺮﻩ ﺑﺰﻳﺎﺩﺓ ﺍﻟﻌﻤﺮ)ﺳﻨﺔ( ﻭﺍﻟﻄﻮﻝ)ﺳﻢ( ﻟﻌﻴﻨﺔ ﻣﻦ ‪ 50‬ﻃﻔﻞ ﻛﺎﻧﺖ ﺍﻟﺒﻴﺎﻧﺎﺕ ﻛﺎﻟﺘﺎﱄ‪:‬‬ ‫الطول = ‪X2‬‬

‫العمر = ‪X1‬‬

‫الوزن = ‪Y‬‬

‫المشاھدات‬

‫الطول = ‪X2‬‬

‫العمر = ‪X1‬‬

‫الوزن = ‪Y‬‬

‫المشاھدات‬

‫‪57‬‬ ‫‪63‬‬ ‫‪92‬‬ ‫‪53‬‬ ‫‪98‬‬ ‫‪102‬‬

‫‪0.33‬‬ ‫‪0.75‬‬ ‫‪3.83‬‬ ‫‪0.25‬‬ ‫‪4.75‬‬ ‫‪4.67‬‬

‫‪5.3‬‬ ‫‪6.5‬‬ ‫‪13.5‬‬ ‫‪4.5‬‬ ‫‪15.5‬‬ ‫‪16.5‬‬

‫‪26‬‬ ‫‪27‬‬ ‫‪28‬‬ ‫‪29‬‬ ‫‪30‬‬ ‫‪31‬‬

‫‪84‬‬ ‫‪95‬‬ ‫‪65‬‬ ‫‪100‬‬ ‫‪70‬‬ ‫‪70‬‬

‫‪3‬‬ ‫‪5‬‬ ‫‪0.5‬‬ ‫‪4‬‬ ‫‪1.33‬‬ ‫‪1‬‬

‫‪11.5‬‬ ‫‪16‬‬ ‫‪6.5‬‬ ‫‪17‬‬ ‫‪8.5‬‬ ‫‪8.8‬‬

‫‪1‬‬ ‫‪2‬‬ ‫‪3‬‬ ‫‪4‬‬ ‫‪5‬‬ ‫‪6‬‬

‫‪2‬‬


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