Ehtimollar nazariyasi fanidan yakuniy nazorat test savollari

EHTIMOLLAR NAZARIYASI FANIDAN YAKUNIY NAZORAT TEST SAVOLLARI

1. 
   Kunning bulutsiz bo’lish ehtimolligi p=0.8 ga teng. Kunning yog’imgarchilik bo’lish ehtimolligini toping.
   

1. 
   0,2 B) 0,5 C) 0 D) 1
   

2. 
   Ikki kub tashlandi. Chiqqan ochkolar yig’indisi 3 ga karrali bolish ehtimolligini toping.
   

1. 
   1/18 B) 1/12 C) 1/3 D) 1/36
   

3. 
   Ikki kub tashlandi. Chiqqan ochkolar yig’indisi 4 ka karrali bo’lish ehtimolligini toping.
   

1. 
   1 B) 1/4 C) 1/2 D) 1/9
   

4. 
   Quyidagi tengliklardan qaysi biri bog’liq hodisalarning ehtimolliklarini kopaytirish teoremasini ifodalaydi?
   

1. 
   P(AB)=P(A)P(B)
   
2. 
   P(AB)=0
   
3. 
   P(AB)=P(VA)
   
4. 
   P(AB)=P(A)P(B/A)
   

1. 
   1 B) 2 C) 3 D) 4
   

5. 
   Quyida tengliklardan qay biri bog’liq bolmagan hodisalarning ehtimolliklarini qoshish teoremasini ifodalaydi?
   

1. 
   P(A+B)=P(A)+P(B)
   
2. 
   P(A+B)=0
   
3. 
   P(A+B)=P(A)+P(B)-P(AB)
   
4. 
   P(A+B)=1
   
5. 
   P(A+B)=P(B)
   

1. 
   1 B ) 2 C) 3 D)4
   

6. 
   Muqarrar hodisaning ehtimolligi nechaga teng
   

1. 
   0 ga B) 1ga C) 2 ga D) har hil bolishi mumkin
   

7. 
   Mumkin bolmagan hodisaning ehtimolligi nechaga teng
   

1. 
   0 ga B) 1ga C) 2 ga D) har hil bolishi mumkin
   

8. 
   Tasodifiy hodisaning ehtimolligi qaysi oraliqqa tegishli?
   

1. 
   (0,1) B) (-1,0) C) (-1,1) D) barcha musbat sonlar bolishi mumkin
   

9. 
   A hodisaning B hodisa roy berganligi shartli ehtimolligi formulasi qaysi javobda tog’ri ko’rsatilgan
   

1. 
   P(A+B)=P(A)+P(B)
   
2. 
   P(AB)=P(A/B)P(B)
   
3. 
   F(b)-F(a)=
   
4. 
   P(A/B)=P(AB)/P(B)
   

10. 
    Ikkita birgalikta bo’lmagan hodisalar yig’indisining ehtimolligi nimaga teng?
    

1. 
   P(A+B)=P(A)+P(B)
   
2. 
   P(AB)=P(A/B)P(B)
   
3. 
   P(A+B)=P(A)+P(B)-P(AB)
   
4. 
   0 ga teng
   

11. 
    Ikkita birgalikta bo’lgan hodisalar yig’indisi ehtimolligi nimaga teng?
    

1. 
   P(A+B)=P(A)+P(B)
   
2. 
   P(AB)=P(A/B)P(B)
   
3. 
   P(A+B)=P(A)+P(B)-P(AB)
   
4. 
   0 ga teng
   

12. 
    Bernulli formulasini korsating
    

1. 
   P(A+B)=P(A)+P(B)
   
2. 
   P(AB)=P(A/B)P(B)
   
3. 
   P(A+B)=P(A)+P(B)-P(AB)
   
4. 
   P_n(k)=
   

13. 
    Tajribalar soni etarlicha katta bolganda hodisaning n ta tajribada roppa rosa k marta roy berishi ehtimolligini taqribiy hisoblash uchun qaysi teorema qollaniladi?
    

1. 
   Bernulli
   
2. 
   Laplasning lokal teoremasi
   
3. 
   Laplasning integral teoremasi
   
4. 
   Puasson teoremasi
   

14. 
    Laplas lokal funksiyasi qanday funksiya?
    

1. 
   Toq
   
2. 
   Juft
   
3. 
   Toqta emas, juftta emas
   
4. 
   Toq bolisji ha’m , juft bolishi ham mumkin
   

15. 
    Ehtimolliklarning binomial taqsimoti dep nimaga aytiladi?
    

1. 
   Bernulli formulasi bilan aniqlanadigan ehtimolliklar taqsimotiga aytiladi.
   
2. 
   Laplasning lokal formulasi bilan aniqlanadigan ehtimolliklar taqsimotiga aytiladi
   
3. 
   Laplasning integral formulasi bilan aniqlanadigan ehtimolliklar taqsimotiga aytiladi
   
4. 
   Puasson formulasi bilan aniqlanadigan ehtimolliklar taqsimotiga aytiladi
   

16. 
    Sinov natijasida roy berishi mumkin bolgan har qanday fakt bu .....
    

1. 
   Ehtimollik B) hodisa C) tajriba D) elementar hodisa
   

17. 
    Sinovning har qanday natijasi ...... ?
    

1. 
   Muqarrar hodisa
   
2. 
   B) mumkin bolmagan
   
3. 
   Qarama-qarshi hodisa
   
4. 
   Elementar hodisa
   

18. 
    Agar sinov natiyjasida bir nechta hodisalardan faqat bittasi roy bersa ular ........ deyiladi
    

1. 
   Qarama-qarshi hodisalar
   
2. 
   Hodisalar tola guruhi tashkil etiladi
   
3. 
   Teng imkoniyatli hodisalar
   
4. 
   Muqarrar hodisalar
   

19. 
    Agar A va B hodisalardan birining roy berishi ikkinchisining roy berish yoki roy bermasligiga tasir etmasa u hodisalar .......... deyiladi
    

1. 
   Bog’liq bolmagan
   
2. 
   Bog’liq
   
3. 
   Birgalikta
   
4. 
   Birgalikta bolmagan
   

20. 
    Tavakkaliga 20 dan katta bolmagan natural son tanlanganda uning 5 ka karrali bolishi ehtimolligini toping
    

1. 
   0.1 B) 0.2 C) 0.3 D) 0.4
   

21. 
    Tavakkaliga 20 dan katta bolmagan natural son tanlanganda uning 3 ka karrali bolishi ehtimolligini toping
    

1. 
   0.1 B) 0.2 C) 0.3 D) 0.4
   

22. 
    Tavakkaliga 20 dan katta bolmagan natural son tanlanganda uning 4 ka karrali bolishi ehtimolligini toping
    

A) 0.5 B) 0.2 C) 0.3 D) 0.4

23. 
    Ikkita oyin soqqasi barabar tashlanganda tushgan ochkolar yig’indisi 8 ga ten’ bolishi ehtimolligini toping
    

1. 
   6/36 B) 5/36 C) 7/36 D) 5/18
   

24. 
    Ikkita oyin soqqasi barabar tashlanganda tushgan ochkolar kopaytmasi 8 ga ten bolishi ehtimolligini toping
    

A) 1/36 B) 7/18 C) 1/18 D) 5/18

25. 
    Tavakkaliga 20 dan katta bolmagan natural son tanlanganda uning 20 ning boluvchisi bo’lish ehtimolligin toping.
    

A) 0.1 B) 0.2 C) 0.3 D) 0.4

26. 
    Bayes formulasini korsating
    

1. 
   P_A(B_k) ₌
   
2. 
   P(A+B)=P(A)+P(B)
   
3. 
   P_A(B_k) ₌
   

D)P_A(B_k) ₌

27. 
    Har birida hodisaning roy berishi ehtimolligi p ga teng n ta bogliqmas sinovlarda hodisaning rossa m marta roy berish ehtimolligi
    

1. 
   Bernulli formulasi
   
2. 
   Laplasning lokal teoremasi
   
3. 
   Laplasning integral teoremasi
   
4. 
   Puasson teoremasi
   

28. 
    Har birida hodisaning roy berishi ehtimolligi p ga teng n(katta n larda) ta bogliqmas sinovlarda hodisaning kamida m1 marta kopi bilan m2 marta roy berish ehtimolligi
    

1. 
   Bernulli formulasi
   
2. 
   Laplasning lokal teoremasi
   
3. 
   Laplasning integral teoremasi
   
4. 
   Puasson teoremasi
   

29. 
    Katta n lar va kichik p larda qaysi teorema orinli?
    

1. 
   Bernulli formulasi
   
2. 
   Laplasning lokal teoremasi
   
3. 
   Laplasning integral teoremasi
   
4. 
   Puasson teoremasi
   

30. 
    Qaysi shartda Laplasning formulasi qullash mumkin?
    

1. 
   npq>20
   
2. 
   npq=20
   
3. 
   npq<10
   
4. 
   npq>10
   

31. 
    Sinov natijasida oldindan malum bo’lgan qiymatlardan birini qabul qiladigan miqdor ………. deyiladi.
    

1. 
   Aniq miqdor
   
2. 
   Tasodifiy miqdor
   
3. 
   Taqribiy miqdor
   
4. 
   Aniq emas miqdor
   

32. 
    Chekli yoki cheksiz sonli ketma-ketkliklardan iborat miqdorga .............. tasodifiy miqdor deyiladi.
    

1. 
   Diskret
   
2. 
   uzluksiz
   
3. 
   Aniq
   
4. 
   Toliq
   

33. 
    X diskret tasodifiy miqdor nechta turda berilishi mumkin?
    

1. 
   3
   
2. 
   4
   
3. 
   2
   
4. 
   5
   

34. 
    X diskret tasodifiy miqdorning taqsimot qonuni qanday usullarda beriladi?
    

1. 
   Rasm , grafik, formula
   
2. 
   Jadval, analitik, rasm
   
3. 
   Jadval, analitik, grafik
   
4. 
   Jadval, analitik, formula
   

35. 
    X diskret tasodifiy miqdorning [a,b] oraliqdagi qiymatlarini qabul qilish ehtimolligi taqsimot funksiyasining bu oraliqdagi orttirmasi qaysi formula orqali ifodalanadi?
    

1. 
   F(x)=F(a)+F(b)
   
2. 
   F(x)=F(a-b)+F(a+b)
   
3. 
   F(x)=F(a+b)-F(a-b)
   
4. 
   F(x)=F(b)-F(a)
   

36. 
    Binomial taqsimotini aniqlash uchun qaysi formuladan foydalanamiz?
    

1. 
   Bernulli formulasi
   
2. 
   Laplasning lokal teoremasi
   
3. 
   Laplasning integral teoremasi
   
4. 
   Puasson teoremasi
   

37. 
    Puasson taqsimotini aniqlash uchun qaysi formuladan foydalanamiz?
    

1. 
   Bernulli formulasi
   
2. 
   Laplasning lokal teoremasi
   
3. 
   Laplasning integral teoremasi
   
4. 
   Puasson teoremasi
   

38. 
    Birorta chekli yoki cheksiz oraliqdagi barcha qiymatlarni qabul qilishi mumkin bolgan tasodifiy miqdor ............. tasodifiy miqdor deyiladi
    

1. 
   Diskret
   
2. 
   Uzlikli
   
3. 
   Uzliksiz
   
4. 
   Toliq
   

39. 
    Uzliksiz tasodifiy miqdorlar kop hollarda qanday funksiyalar ko’rinishida beriladi?
    

1. 
   Integral, chiziqli
   
2. 
   Hosilaviy, egrichiziq
   
3. 
   Integral, differentsial
   
4. 
   Chiziqli, differentsial
   

40. 
    X uzliksiz tasodifiy miqdor ehtimolliklarining ............... dep taqsimot funksiyasi F(x) ning birinchi tartibli hosilasi f(x) funksiyaga aytiladi.
    

1. 
   Taqsimot zichligi
   
2. 
   Taqsimot funksiyasi
   
3. 
   Integral funksiyasi
   
4. 
   Lokal funksiyasi
   

41. 
    X uzliksiz tasodifiy miqdorning (a,b) oraliqqa tegishli qiymatni qabul qilishi ehtimolligi formulasini ko’rsating
    

1. 
   P(a
2. 
   P(b
3. 
   P(a
4. 
   P(a

42. 
    Zichlik funksiyasi f(x) ning hossalaridan birini korsating
    

1. 
   f(x)<0
   
2. 
   f(x) 0
   
3. 
   f(x)=0
   
4. 
   f(x)<-1
   

43. 
    Zichlik funksiyasi - dan + gacha oraliqda olingan hosmas integral ...... teng
    

1. 
   -1
   
2. 
   0
   
3. 
   1
   
4. 
   -2
   

44. 
    X diskret tasodifiy miqdorning ................ dep uning mumkin bolgan barcha qiymatlarini ularning ehtimolliklariga kopaytmalari yig’indisiga teng songa aytiladi.
    

1. 
   Analitik funksiyasi
   
2. 
   Grafigi
   
3. 
   Matematik kutilishi
   
4. 
   Geometrik sathi
   

45. 
    Matematik kutilish qaysi kurinishda ifodalanadi?
    

1. 
   M(X)
   
2. 
   D(X)
   
3. 
   A(X)
   
4. 
   C(X)
   

46. 
    O’zgarmas miqdorning matematik kutilishi nimaga teng ?
    

1. 
   M(C)=1
   
2. 
   M(C)=C
   
3. 
   M(C)=-1
   
4. 
   M(C)=0
   

47. 
    Tasodifiy miqdorlar yig’indisining matematik kutilishini ko’rsating
    

1. 
   M(X+Y)=M(X)+M(Y)-M(XY)
   
2. 
   M(X+Y)=M(X)+M(Y)
   
3. 
   M(X+Y)=M(X-Y)+M(Y)
   
4. 
   M(XY)=M(X)M(Y)
   

48. 
    Tasodifiy miqdorlar kopaytmasining matematik kutilishini ko’rsating
    

A)M(X+Y)=M(X)+M(Y)-M(XY)
B)M(X+Y)=M(X)M(Y)
C)M(X+Y)=M(X-Y)M(Y)

4. 
   M(XY)=M(X)M(Y)
   

49. 
    X tasodifiy miqdorning ............... deb tasodifiy miqdorning uzining matematik kutilishidan chetlanishi kvadratining matematik kutilishiga aytiladi.
    

1. 
   Kvadrati
   
2. 
   Ikkilangani
   
3. 
   Dispersiyasi
   
4. 
   Qiymati
   

50. 
    Dispersiya miqdorini qaysi formula boyicha aniqlaymiz?
    

1. 
   D(X)=M(X²) – (M(X))²
   
2. 
   D(X)=M(X) – (M(X))²
   
3. 
   D(X)=M(X²) – M(X)
   
4. 
   D(X)=M(X²) + (M(X))²
   

51. 
    O’zgarmasning dispersiyasi ....... teng.
    

1. 
   1 ga
   
2. 
   -1 ga
   
3. 
   0 ga
   
4. 
   2 ga
   

52. 
    Bog’liqmas tasodifiy miqdorlar yig’indisining dispersiyasi qanday aniqlanadi?
    

1. 
   D(X+Y)=D(X)D(Y)+D(X)
   
2. 
   D(X+Y)=D(X)+D(Y)
   
3. 
   D(X)=M(X²) – (M(X))²
   
4. 
   D(X+Y)=D(X)-D(Y)
   

53. 
    Diskret tasodifiy miqdorning binomial taqsimotining matematik kutilishini korsating
    

1. 
   M(X)=np
   
2. 
   M(X)=nq
   
3. 
   M(X)=pq
   
4. 
   M(X)=npq
   

54. 
    Diskret tasodifiy miqdorning binomial taqsimotining dispersiyasini korsating
    

1. 
   D(X)=np
   
2. 
   D(X)=nq
   
3. 
   D(X)=pq
   
4. 
   D(X)=npq
   

55. 
    Uzliksiz tasodifiy miqdorning matematik kutilishi formulasini korsating
    

1. 
   M(X)=
   
2. 
   M(X)=
   
3. 
   M(X)=
   
4. 
   M(X)=
   

56. 
    Dispersiyaning diskret tasodifiy miqdorlar uchun hossalari uzliksiz tasodifiy miqdorlar uchun ham orinlimi?
    

1. 
   Ha orinli
   
2. 
   Yoq orinli emas
   
3. 
   Kop hollarda orinli , bazi hollarda orinli emas
   
4. 
   Togri javob yoq
   

57. 
    Tasodifiy miqdorning ............. deb dispersiyadan olingan kvadrat ildizga aytiladi.
    

1. 
   Ortacha qiymati
   
2. 
   Matematik ortachasi
   
3. 
   Matematik funksiyasi
   
4. 
   Orta kvadratik chetlanishi
   

58. 
    Ortacha kvadratik chetlanishini hisoblash formulasini korsating
    

1. 
   
   
2. 
   
   
3. 
   
   
4. 
   
   

59. 
    Ehtimollar nazaryasi
    

1. 
   har qanday hodisalarning qonuniyatlarini
   
2. 
   ommaviy bir jinsli tasodifiy hodisalarning qonuniyatlarini
   
3. 
   muqarrar va mumkin bo’lmagan hodisalarning qonuniyatlarini
   
4. 
   har qanday tasodifiy hodisalarning qonuniyatlarini
   

60. 
    Ehtimollik klassik ta’rifidagi n:
    

1. 
   imkon tug’diruvchi hollar soni
   
2. 
   elementar hodisalarming barcha soni
   
3. 
   m dan katta bo’lgan ixtiyoriy son
   
4. 
   har doim n=m
   

61. 
    Qarama-qarshi hodisalar yig’indisi nimaga teng ?
    

1. 
   1
   
2. 
   2
   
3. 
   0
   
4. 
   -1
   

62. 
    Klassik ehtimollik formulasini ko’rsating
    

1. 
   P=m/n
   
2. 
   P=mn
   
3. 
   P=n/m
   
4. 
   P=n²/m
   

63. 
    P(U)=1 bu qanday hodisa ?
    

1. 
   Tasodifiy
   
2. 
   Aniq
   
3. 
   Muqarrar hodisa
   
4. 
   Aniq emas hodisa
   

64. 
    0 bu qanday ehtimollik ?
    

1. 
   Tasodifiy
   
2. 
   Aniq
   
3. 
   Muqarrar ehtimollik
   
4. 
   Aniq emas ehtimollik
   

65. 
    P(A)=0 bu qanday ehtimollik ?
    

1. 
   Tasodifiy
   
2. 
   Aniq
   
3. 
   Muqarrar ehtimollik
   
4. 
   Mumkin bolmagan ehtimollik
   

66. 
    Geometrik ehtimollik formulasini korsating
    

1. 
   P=S1/S2
   
2. 
   P=m1/m2
   
3. 
   P(A)=mesD1/mesD2
   
4. 
   P(A)=mesD1mesD2
   

67. 
    Agar sinovlar natijalarining har qanday kombinatsiyasi bog’liqmas hodisalar toplamidan iborat bolsa, bu sinovlar .......... deyiladi.
    

1. 
   Muqarrar
   
2. 
   Bog’liqmas
   
3. 
   Uzliksiz
   
4. 
   Diskret
   

68. 
    Chekli sondagi n ta ketma-ket bog’liqmas sinovlar natijasida bir hodisa roy berishi mumkin bolsa bunday ketma-ketlik ....... deyiladi
    

1. 
   Laplas lokal teoremasi
   
2. 
   Bernulli sxemasi
   
3. 
   Puasson teoremasi
   
4. 
   Laplas integral teoremasi
   

69. 
    Qutida 3 ta oq 2 ta qora shar bor. Qutidan olinga 3 ta sharning qora bolish ehtimolligini toping?
    

1. 
   1
   
2. 
   0.5
   
3. 
   0.37
   
4. 
   0
   

70. 
    Qutida 3 ta oq shar bor . Olingan 3 ta sharning oq bolish ehtimolligi qancha ?
    

1. 
   0
   
2. 
   1
   
3. 
   0.3
   
4. 
   0.5
   

71. 
    30 dan katta bolmagan son oylanganda 3 ga karrali bolish ehtimolligini toping
    

1. 
   1/3
   
2. 
   1/5
   
3. 
   1/7
   
4. 
   0.1
   

72. 
    30 dan katta bolmagan son oylanganda 6 ga karrali bolish ehtimolligini toping
    

A) 1/4
B) 1/5
C) 1/6
D) 1/7

73. 
    30 dan katta bolmagan son oylanganda 9 ga karrali bolish ehtimolligini toping
    

A) 0.33 B) 0.5 C) 0.1 D) 0.01

74. 
    30 dan katta bolmagan son oylanganda 5 ga karrali bolish ehtimolligini toping
    

A)0.33 B) 0.5 C) 0.7 D) 0.2

75. 
    30 dan katta bolmagan son oylanganda 7 ga karrali bolish ehtimolligini toping
    

A)2/15 B) 2/5 C) 1/17 D) 0.01

76. 
    30 dan katta bolmagan son oylanganda 8 ga karrali bolish ehtimolligini toping
    

A)0.33 B) 0.5 C) 0.7 D) 0.1

77. 
    30 dan katta bolmagan son oylanganda 10 ga karrali bolish ehtimolligini toping
    

A)0.1 B) 0.5 C) 0.7 D) 0.01

78. 
    30 dan katta bolmagan son oylanganda juft bolish ehtimolligini toping
    

A)0.33 B) 0.5 C) 0.7 D) 0.01

79. 
    30 dan katta bolmagan son oylanganda 3 ga karrali bolish ehtimolligini toping
    

A)1/3 B) 1/5 C) 0.7 D) 0.01

80. 
    30 dan katta bolmagan son oylanganda toq son bolish ehtimolligini toping
    

A)0.5 B) 0.56 C) 0.7 D) 0.01

81. 
    40 dan katta bolmagan son oylanganda juft son bolish ehtimolligini toping
    

A)0.33 B) 0.5 C) 0.7 D) 0.65

82. 
    40 dan katta bolmagan son oylanganda toq son bolish ehtimolligini toping
    

A)0.33 B) 0.77 C) 0.5 D) 0.65

83. 
    40 dan katta bolmagan son oylanganda 3 ga karrali bolish ehtimolligini toping
    

A)13/20 B) 15 /40 C) 13/40 D) 0.01

84. 
    40 dan katta bolmagan son oylanganda 5 ga karrali bolish ehtimolligini toping
    

A)0.1 B) 0.5 C) 0.7 D) 0.2

85. 
    40 dan katta bolmagan son oylanganda 6 ga karrali bolish ehtimolligini toping
    

A)3/40 B) 3/20 C) 0.7 D) 0.01

86. 
    40 dan katta bolmagan son oylanganda 7 ga karrali bolish ehtimolligini toping
    

A)0.12 B) 0.25 C) 0.7 D) 0.125

87. 
    40 dan katta bolmagan son oylanganda 8 ga karrali bolish ehtimolligini toping
    

A)0.125 B) 0.5 C) 0.7 D) 0.01

88. 
    40 dan katta bolmagan son oylanganda 4 ga karrali bolish ehtimolligini toping
    

A)0.1 B) 0.25 C) 0.7 D) 0.01

89. 
    40 dan katta bolmagan son oylanganda 9 ga karrali bolish ehtimolligini toping
    

A)0.1 B) 0.5 C) 0.7 D) 0.01

90. 
    40 dan katta bolmagan son oylanganda 10 ga karrali bolish ehtimolligini toping
    

A)0.1 B) 0.5 C) 0.7 D) 0.01

91. 
    40 dan katta bolmagan son oylanganda 12 ga karrali bolish ehtimolligini toping
    

A)0.15 B) 12/40 C) 0.075 D) 3/40

92. 
    40 dan katta bolmagan son oylanganda 13 ga karrali bolish ehtimolligini toping
    

A)3/40 B) 5/40 C) 3/20 D) 12/40

93. 
    40 dan katta bolmagan son oylanganda 15 ga karrali bolish ehtimolligini toping
    

A)0.1 B) 0.05 C) 0.7 D) 0.01

94. 
    1 dan 100 gacha sonlar ichidan son tanlanganda 1 raqami bo’lishi ehtimolini toping ?
    

1. 
   0.5 B) 0.3 C) 0.2 D) 0.25
   

95. 
    1 dan 100 gacha sonlar ichidan son tanlanganda 2 raqami bo’lishi ehtimolini toping ?
    

1. 
   0.2 B) 0.3 C) 0.7 D) 0.25
   

96. 
    1 dan 100 gacha sonlar ichidan son tanlanganda 3 raqami bo’lishi ehtimolini toping ?
    

A) 0.5 B) 0.3 C) 0.6 D) 0.2

97. 
    1 dan 100 gacha sonlar ichidan son tanlanganda 4 raqami bo’lishi ehtimolini toping ?
    

A)0.5 B) 0.3 C) 0.2 D) 0.25

98. 
    1 dan 100 gacha sonlar ichidan son tanlanganda 5 raqami bo’lishi ehtimolini toping ?
    

A)0.2 B) 0.3 C) 0.22 D) 0.25

99. 
    1 dan 100 gacha sonlar ichidan son tanlanganda 6 raqami bo’lishi ehtimolini toping ?
    

A)0.5 B) 0.3 C) 0.2 D) 0.25

100. 
     1 dan 100 gacha sonlar ichidan son tanlanganda 8 raqami bo’lishi ehtimolini toping ?
     

A)0.5 B) 0.3 C) 0.2 D) 0.25

101. 
     1 dan 100 gacha sonlar ichidan son tanlanganda 9 raqami bo’lishi ehtimolini toping ?
     

1. 
   0.5 B) 0.2 C) 0.4 D) 0.25
   

102. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.5 va 0.4. Ikkitasi ham tekkizish ehtimolligini toping
     

1. 
   0.2
   
2. 
   0.9
   
3. 
   0.1
   
4. 
   0.4
   

103. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.6 va 0.4. Ikkitasi ham tekkizish ehtimolligini toping
     

A) 0.2

2. 
   0.9
   
3. 
   0.24
   
4. 
   0.4
   

104. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.8 va 0.9. Ikkitasi ham tekkizish ehtimolligini toping
     

A) 0.2

2. 
   0.9
   
3. 
   0.1
   
4. 
   0.72
   

105. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.2 va 0.7. Ikkitasi ham tekkizish ehtimolligini toping
     

A)0.2

2. 
   0.9
   
3. 
   0.14
   
4. 
   0.4
   

106. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.1 va 0.9. Ikkitasi ham tekkizish ehtimolligini toping
     

1. 
   0.2
   
2. 
   0.7
   
3. 
   0.09
   
4. 
   0.4.
   

107. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.1 va 0.9. Ikkitasi ham tekkiza olmaslik ehtimolligini toping
     

1. 
   0.2
   
2. 
   0.7
   
3. 
   0.09
   
4. 
   0.4
   

108. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.8 va 0.5. Ikkitasi ham tekkiza olmaslik ehtimolligini toping
     

1. 
   0.2
   
2. 
   0.01
   
3. 
   0.02
   
4. 
   0.4
   

109. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.5 va 0.5. Ikkitasi ham tekkiza olmaslik ehtimolligini toping
     

1. 
   0.2
   
2. 
   0.7
   
3. 
   0.25
   
4. 
   0.4
   

110. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.7 va 0.4. Ikkitasi ham tekkiza olmaslik ehtimolligini toping
     

1. 
   0.2
   
2. 
   0.7
   
3. 
   0.09
   
4. 
   0.18
   

111. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.4 va 0.2. Ikkitasi ham tekkiza olmaslik ehtimolligini toping
     

1. 
   0.48
   
2. 
   0.7
   
3. 
   0.09
   
4. 
   0.4
   

112. 
     Ikkita merganning nishonga tekkizish ehtimolligi mos ravishda 0.3 va 0.5. Ikkitasi ham tekkiza olmaslik ehtimolligini toping
     

1. 
   0.2
   
2. 
   0.7
   
3. 
   0.35
   
4. 
   0.4
   

113. 
     Gol urish ehtimolligi p=0.25 bolsa . Gol urmaslik ehtimolligini toping ?
     

1. 
   0.75 B) 0.85 C) 0.45 D)0.1
   

114. 
     Gol urish ehtimolligi p=0.6 bolsa . Gol urmaslik ehtimolligini toping ?
     

A) 0.7 B) 0.85 C) 0.4 D)0.1

115. 
     Quyidagi mulohozalardan tog’risini toping
     

1.Qarama qarshi ehtimolliklar yigindisi 0 ga teng
2. Tanganing bir tomoni chiqish ehtimoli 1 ga teng
3. Klassik ehtimollik formulasi P(A)=m/n
A) 1,2 B) 1,2,3 C) 3 D) togri javob yoq

116. 
     Ikki basketbolchining savatga top tushirish ehtimolligi mos ravishda 0.6 va 0.5 ga teng ularning faqat 1 chisi tushirish ehtimolligini toping.
     

1. 
   0.4
   
2. 
   0.3
   
3. 
   0.25
   
4. 
   0.5
   

117. 
     Ikki basketbolchining savatga top tushirish ehtimolligi mos ravishda 0.4 va 0.7 ga teng ularning faqat 1 chisi tushirish ehtimolligini toping.
     

1. 
   0.12
   
2. 
   0.2
   
3. 
   0.25
   
4. 
   0.5
   

118. 
     Ikki basketbolchining savatga top tushirish ehtimolligi mos ravishda 0.2 va 0.8 ga teng ularning faqat 1 chisi tushirish ehtimolligini toping.
     

1. 
   0.4
   
2. 
   0.2
   
3. 
   0.25
   
4. 
   0.04
   

119. 
     Ikki basketbolchining savatga top tushirish ehtimolligi mos ravishda 0.1 va 0.6 ga teng ularning faqat 1 chisi tushirish ehtimolligini toping.
     

1. 
   0.4
   
2. 
   0.2
   
3. 
   0.04
   
4. 
   0.5
   

120. 
     Ikkita uyin soqqasi birgalikta tashlanganda ikkalasi ham bir xil bolish ehtimolligini toping.
     

A) 2/36 B) 1/7 C)1/9 D) 1/6