O‘ZBEKISTON RESPUBLIKASI AXBOROT TEXNOLOGIYALARI VA KOMMUNIKATSIYALARINI RIVOJLANTIRISH VAZIRLIGI MUHAMMAD ALXORAZMIY NOMIDAGI TOSHKENT AXBOROT TEXNOLOGIYALARI UNIVERSITETI “Ehtimollar va statistika” fanidan 5-amaliy ishi Bajardi: 810-21 guruh Talabasi: Danaboyev A Tekshirdi: Nosirova N Toshkent – 2023 5-SHAXSIY TOPSHIRIQ. ORALIQ BAHO. ISHONCHLILIK EHTIMOLI VA ISHONCHLILIK ORALIGสปI 2-variant 5.1-masala. C tanlanmaning ikkinchi X, Y, Z ustunlari boสปyicha bosh toสปplam parametrlarining siljimagan baholari ๐ฅฬ ; ๐ 2 ; ๐ topamiz. ๐ฅ๐ 6 5 10 10 13 15 6 11 10 14 8 14 6 16 8 6 8 8 7 8 10 12 ฦฉ ๐ฅ๐ − ๐ -2 -3 2 2 5 7 -2 3 2 6 0 6 -2 8 0 -2 0 0 -1 0 2 4 35 (๐ฅ๐ − ๐)2 4 9 4 4 25 49 4 9 4 36 0 36 4 64 0 4 0 0 1 0 4 16 277 ๐ฆ๐ 19 18 31 31 43 49 26 42 31 45 28 49 23 57 29 23 25 32 25 29 36 39 ฦฉ ๐ฆ๐ − ๐ -12 -13 0 0 12 18 -5 11 0 14 -3 18 -8 26 -2 -8 -6 1 -6 -2 5 8 48 (๐ฆ๐ − ๐) 144 169 0 0 144 324 25 121 0 196 9 324 64 676 4 64 36 1 36 4 25 64 2457 2 ๐ง๐ 28 27 56 55 74 84 31 58 54 78 47 79 35 95 39 33 41 40 39 38 59 69 ฦฉ ๐ง๐ − ๐ -11 -12 17 16 35 45 -8 19 15 39 8 40 -4 56 0 -6 2 1 0 -1 20 30 301 ( ๐ง ๐ − ๐) 2 121 144 289 256 1225 2025 64 361 225 1521 64 1600 16 3136 0 36 4 1 0 1 400 900 12589 X ustun uchun hisoblashlarni amalga oshiramiz: ๐ฅ๐๐๐ = 5; ๐ฅ๐๐๐ฅ = 16; ๐ = 8; ๐ = 22 ∑๐๐=1(๐ฅ๐ − ๐) 35 ๐ฅฬ = +๐ = + 8 = 9,5909; ๐ 22 ๐๐ฬ 2 ∑๐๐=1(๐ฅ๐ − ๐)2 277 = − (๐ฅฬ − ๐)2 = − (9,5909 − 8)2 = 10,06 ๐ 22 ๐๐2 = ๐ 22 โ ๐๐ฬ 2 = โ 10,06 = 10,539; ๐−1 22 − 1 ๐๐ = √10,539 = 3,246 Y ustun uchun hisoblashlarni amalga oshiramiz: ๐ฆ๐๐๐ = 18; ๐ฆ๐๐๐ฅ = 49; ๐ = 31; ๐ = 22 ∑๐๐=1(๐ฆ๐ − ๐) 48 ๐ฆฬ = +๐ = + 31 = 33,18; ๐ 22 ∑๐๐=1(๐ฆ๐ − ๐)2 2457 − (๐ฆฬ − ๐)2 = − (33,18 − 31)2 = 106,92 ๐ 22 ๐ 22 ๐๐2 = โ ๐๐ฬ 2 = โ (106,92) = 112,021; ๐๐ = √112,021 = 10,583 ๐−1 22 − 1 ๐๐ฬ 2 = Z ustun uchun hisoblashlarni amalga oshiramiz: ๐ง๐๐๐ = 27; ๐ง๐๐๐ฅ = 95; ๐ = 39; ๐ = 22 ∑๐๐=1(๐ง๐ − ๐) 301 ๐งฬ = +๐ = + 39 = 52,6818; ๐ 22 ∑๐๐=1(๐ง๐ − ๐)2 12589 − (๐งฬ − ๐)2 = − (52,6818 − 39)2 = 385,035 ๐ 22 ๐ 22 ๐๐2 = โ ๐๐ฬ 2 = โ 385,035 = 403,37; ๐๐ = √403,37 = 20,08 ๐−1 22 − 1 ๐๐ฬ 2 = Yuqorida keltirilgan maสผlumotlarni Excelda quyidagicha buyruqlar ketma-ketligi orqali toppish mumkin boสปlardi: Excel → ะะฐะฝะฝัะต → ะะฝะฐะปะธะท ะดะฐะฝะฝัั → ะะฟะธัะฐัะตะปัะฝะฐั ััะฐัะธััะธะบะฐ → quyida hosil boสปlgan oynada kerakli maสผlumotlarni kiritamiz: 5.2-masala. A va B tanlanmalar boสปyicha uchinchi va toสปrtinchi shaxsiy topshiriqlarda olingan maสผlumotlarga asoslanib, siljimagan baholarni topamiz: A tanlanma uchun: ๐ฅฬ = 3.8023; ๐ฬ 2 = 3.8795; kvadratik chetlanish uchun siljimagan baholar: u holda dispersiya va oสปrtacha 86 โ 3.8795 = 3.925; ๐ = √3.925 = 1.981 86 − 1 B tanlanma uchun: ๐ฅฬ = 132.9; ๐ฬ 2 = 48.04; u holda dispersiya va oสปrtacha kvadratik chetlanish uchun siljimagan baholar: ๐2 = ๐2 = 190 โ 48.04 = 48.2941; 190 − 1 ๐ = √48.2941 = 6.9493 5.3-masala. 0.8; ๐๐๐๐ ๐ ≤ 8 ๐พ = {0.9; ๐๐๐๐ 8 < ๐ ≤ 16 0.95; ๐๐๐๐ ๐ > 16 2-variant uchun ishonchlilik ehtimoli ๐พ = 0.90.9สปlganligi uchun, bosh toสปplamning oสปrta qiymati ๐, dispersiyasi ๐ 2 , standart chetlanishi ๐ lar uchun ishonchlilik oraliqlari topishda kerak boสปladigan ๐ก๐พ ; ๐ข1 ; ๐ข2 koeffitsiyentlarni quyidagicha aniqlaymiz: ๐ก๐พ → Excel → ๐๐ฅ → ะกัะฐัะธััะธัะตัะบะธะต → ะกะขะฌะฎะะะะข.ะะะ .2ะฅ → “ะฒะตัะพััะฝะพััั” = 1-๐พ = 1 − 0.9 = 0.11-0.9=0.1ni; “ััะตะฟะตะฝั ัะฒะพะฑะพะดั”=n-1=22-1=21 maสผlumotlarni kiritamiz: Natijada ๐ก๐พ = 1.72074 ekanligini aniqlaymiz. ๐ข1 ; ๐ข2 → Excel → ๐๐ฅ → ะกัะฐัะธััะธัะตัะบะธะต → ะฅะ2.ะะะ .ะะฅ → ๐ข1 ni topish uchun “ะะตัะพััะฝะพััั” degan joyga 1+๐พ 2 = 1+0.9 2 = 0.95 ni kiritamiz, ๐ข2 ni topish uchun esa 1−๐พ 2 = 1−0.9 2 = 0.05 ni kiritib, har ikkala holda ham “ะกัะตะฟะตะฝั ัะฒะพะฑะพะดั” – degan qatorga k=n-1=22-1=21 tanlanma hajmidan bitta kamini kiritib topamiz: Shunday qilib, X, Y, Z lar uchun tanlanma hajmlari bir xil boสปlgani uchun va jadvallardan ๐ก๐พ = 1.72074; ๐ข1 = 11.5913; ๐ข2 = 32.6705 X ustun uchun ishonchlilik oraliqlari quyidagicha boสปladi: ๐ฬ − 9.5909 − 1.72074โ3.246 √22 ๐ก๐พ โ ๐ √๐ ≤ ๐ ≤ 9.5909 + ≤ ๐ ≤ ๐ฬ + ๐ก๐พ โ ๐ √๐ 1.72074โ3.246 √22 5909- 1.72074โ3.246/&22≤μ≤9.5909+1.72074โ3.246/&22 8.400 ≤ ๐ ≤ 10.7817400 (๐ − 1)๐ 2 (๐ − 1)๐ 2 2 ≤๐ ≤ ๐ข1 ๐ข2 (22 − 1) โ 10.539 (22 − 1) โ 10.539 ≤ ๐2 ≤ 11.5913 32.6705 19.0935 ≤ ๐ 2 ≤ 6.77427.0935≤σ^2≤6.77427 4.369 ≤ ๐ ≤ 2.602369≤σ≤2.602 ustun uchun ishonchlilik oraliqlari quyidagicha boสปladi: ๐ฬ − 33.18 − 1.72074โ10.583 √22 ๐ก๐พ โ ๐ √๐ ≤ ๐ ≤ 33.18 + ≤ ๐ ≤ ๐ฬ + 1.72074โ10.583 √22 ๐ก๐พ โ ๐ √๐ .18- 1.72074โ10.583/&22≤μ≤33.18+1.72074โ10.583/&22 29.2974 ≤ ๐ ≤ 37.0625.2974 (๐ − 1)๐ 2 (๐ − 1)๐ 2 2 ≤๐ ≤ ๐ข1 ๐ข2 (22 − 1) โ 112.021 (22 − 1) โ 112.021 ≤ ๐2 ≤ 11.5913 32.6705 202.948 ≤ ๐ 2 ≤ 72.0052.948≤σ^2≤72.005 14.245 ≤ ๐ ≤ 8.485.245≤σ≤8.485 ustun uchun ishonchlilik oraliqlari quyidagicha boสปladi: ๐งฬ − 52.6818 − 1.72074โ20.08 √22 ๐ก๐พ โ ๐ √๐ ≤ ๐ ≤ ๐งฬ + ≤ ๐ ≤ 52.6818 + ๐ก๐พ โ ๐ √๐ 1.72074โ20.08 √22 .6818- 1.72074โ20.08/&22≤μ≤52.6818+1.72074โ20.08/&22 45.315 ≤ ๐ ≤ 60.048.315 (22 − 1) โ 403.37 (22 − 1) โ 403.37 ≤ ๐2 ≤ 11.5913 32.6705 730.786 ≤ ๐ 2 ≤ 259.2780.786≤σ^2≤259.278 27.033 ≤ ๐ ≤ 16.102.033≤σ≤16.102 tanlanma uchun ishonchlilik oraliqlari quyidagicha boสปladi: ๐ก๐พ = 1.6629; ๐ข1 = 64.7493; ๐ข2 = 107.521 ๐ฅฬ − ๐ก๐พ โ ๐ √๐ ≤ ๐ ≤ ๐ฅฬ + ๐ก๐พ โ ๐ √๐ 3.8023 − 1.66729โ1.981 √86 ≤ ๐ ≤ 3.8023 + 1.66729โ1.981 √86 8023- 1.66729โ1.981/&86≤μ≤3.8023+1.66729โ1.981/&86 3.446 ≤ ๐ ≤ 4.158446≤μ≤4.158 (86-1)โ3.925/64.7493≤σ^2≤(86-1)โ3.925/107.521 5.152 ≤ ๐ 2 ≤ 3.102152≤σ^2≤3.102 2.269 ≤ ๐ ≤ 1.761269≤σ≤1.761 tanlanma uchun ishonchlilik oraliqlari quyidagicha boสปladi: ๐ก๐พ = 1.6529; ๐ข1 = 158.197; ๐ข2 = 222.075 ๐ฅฬ − 132.9 − 1.6529โ6.9493 √190 ๐ก๐พ โ ๐ √๐ ≤ ๐ ≤ 132.9 + ≤ ๐ ≤ ๐ฅฬ + 1.6529โ6.9493 √190 ๐ก๐พ โ ๐ √๐ 2.9- 1.6529โ6.9493/&190≤μ≤132.9+1.6529โ6.9493/&190 132.066 ≤ ๐ ≤ 133.7332.066≤μ≤133.733 (190-1)โ48.2941/158.197≤σ^2≤(190-1)โ48.2941/222.075 57.697 ≤ ๐ 2 ≤ 41.101.697≤σ^2≤41.101 7.595 ≤ ๐ ≤ 6.411595≤σ≤6.411