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