11th Standard Syllabus & Materials
11th Standard
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TN 11th Tamil பீடு பெற நில் - துணைப்பாடம் - வாடிவாசல் Important Questions And Answers Study Material - QB365 Set A
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Published on: 11/11/2020
11th Standard Maths Introduction To Probability Theory English Medium Free Online Test One Mark Questions 2020 - 2021
Download Tamil Nadu 11th Standard Maths question papers, model tests, one-mark questions, important questions, and public exam papers in PDF format. Free study materials and answer keys for TN State Board students.
Questions + Answers key
Take MCQ Maths Test1.
If P(B)=\(\frac { 3 }{ 5 } \)P(A/B) = \(\frac { 1 }{ 2 } \) and \(P(A\cup B)=\frac { 4 }{ 5 } \), then P(A) is
\(\frac { 3 }{ 10 } \)
\(\frac { 1 }{ 2 } \)
\(\frac { 1 }{ 10 } \)
\(\frac { 3 }{ 5 } \)
2.
If A and B are two events such that P(A) = \(\frac { 4 }{ 5 } \) and \(P(A\cap B)=\frac { 7 }{ 10 } \) then P(B/A) =
\(\frac { 1 }{ 10 } \)
\(\frac { 1 }{ 8 } \)
\(\frac { 7 }{ 8 } \)
\(\frac { 17 }{ 20 } \)
3.
If S is the sample space, P(A) = \(\frac { 1 }{ 3 } \) P(B) and S = A\(\cup \)B, where A and B are mutually exclusive events then P(A) =
\(\frac { 1 }{ 4 } \)
\(\frac { 1 }{ 2 } \)
\(\frac { 3 }{ 4 } \)
\(\frac { 3 }{ 8 } \)
4.
A coin is tossed three times. If events A and B are defined as A = Two heads occurs B = Last should be head. Then A and B are
Independent
dependent
both
mutually exclusive
5.
It is given that the events A and B are such that \(P(A)={1\over4},P(A/B)={1\over2}\) and \(P(B/A)={2\over3}.\) Then P(B) is
\({1\over 6}\)
\({1\over 3}\)
\({2\over 3}\)
\({1\over 2}\)
6.
If two events A and B are such that \(P(\overline{A})={3\over10}\) and \(P(A \cap \overline{B})={1\over2},\) then \(P(A\cap B)\) is
\({1\over2}\)
\({1\over3}\)
\({1\over4}\)
\({1\over5}\)
7.
If X and Y be two events such that P(X/Y) = \({1\over2},P(Y/X)={1\over3}\) and \(P(X\cap Y)={1\over6}\), then P(X\(\cup\)Y) is
\({1\over3}\)
\({2\over5}\)
\({1\over6}\)
\({2\over3}\)
8.
If A and B are two events such that A ⊂ B and P(B)\(\neq o\), then which of the following is correct?
\(P(A/B)={P(A)\over P(B)}\)
P(A/B)
P(A/B)\(\ge\)P(A)
P(A/B)>P(B)
9.
A man has 3 fifty rupee notes, 4 hundred rupees notes, and 6 five hundred rupees notes in his pocket. If 2 notes are taken at random, what are the odds in favour of both notes being of hundred rupee denomination?
1:12
12:1
13:1
1:13
10.
Let A and B be two events such that \(P(\overline{A\cup B})={1\over6}, P(A\cap B)={1\over4}\) and \({P(\overline{A})}={1\over4}\). Then the events A and B are
Equally likely but not independent
Independent but not equally likely
Independent and equally likely
Mutually inclusive and dependent
1.
(b)
\(\frac { 1 }{ 2 } \)
2.
(c)
\(\frac { 7 }{ 8 } \)
3.
(a)
\(\frac { 1 }{ 4 } \)
4.
(b)
dependent
5.
(b)
\({1\over 3}\)
6.
\(P(A \cap \bar{B})=P(A)-P(A \cap B) \)
\(\frac{1}{2} =\frac{7}{10}-P(A \cap B) \)
\(P(A \cap B) =\frac{7}{10}-\frac{1}{2}=\frac{1}{5} \)
7.
\(P(X / Y)=\frac{1}{2} \Rightarrow \frac{P(X \cap Y)}{P(Y)}=\frac{1}{2} \)
\(P(Y / X)=\frac{1}{3} \Rightarrow \frac{P(X \cap Y)}{P(X)}=\frac{1}{3} \)
\(\text {But } P(X \cap Y)=\frac{1}{6} \Rightarrow \frac{\frac{1}{6}}{P(Y)}=\frac{1}{2}\)
\(P(Y)=\frac{\frac{1}{6}}{\frac{1}{2}}=\frac{1}{3}\)
\(\text {and } P(X)=\frac{\frac{1}{6}}{\frac{1}{3}}=\frac{1}{2}\)
\(P(X \cup Y)=P(X)+P(Y)-P(X \cap Y)\)
\(=\frac{1}{2}+\frac{1}{3}-\frac{1}{6}=\frac{3+2-1}{6} =\frac{2}{3} \)
8.
\(P(A / B)=\frac{P(A \cap B)}{P(B)}=\frac{P(A)}{P(B)}[\because A \subset B \Rightarrow A \cap B=A]\)
9.
Fifty rupee note = 3
Hundred rupee note = 4
500 rupee note = 6
Totsl = 13
\(\mathrm{n}(\mathrm{S})=13 \mathrm{C}_{2}=78\)
\(\text {No. of ways the event to occur }=4\)
\(n(A)=4 C_{2}=6\)
\(\text {No. of ways the event not to occur }=72\)
The odds of event are a:b
\(6: 72 \Rightarrow 1: 12\)
10.
\(P(\bar{A})=\frac{1}{4}, P(A) =\frac{3}{4}, P(A \cap B)=\frac{1}{4} \)
\(P(A \cup B) =\frac{3}{4}+P(B)-\frac{1}{4} \)
\(=\frac{1}{2}+P(B) \)
\(\frac{5}{6} =\frac{1}{2}+P(B) \)
\(P(B) =\frac{5}{6}-\frac{1}{2}=\frac{2}{6}=\frac{1}{3} \)
\(P(\bar{A})=\frac{1}{4}, P(A)=\frac{3}{4}, P(A \cap B)=\frac{1}{4} \)
\(P(A \cap B)=P(A) \cdot P(B)=\frac{3}{4} \times \frac{1}{3}=\frac{1}{4}=P(\text { Any }) \)
A and B are independent but not equally likely.
11th Standard Syllabus & Materials
11th Standard
TN 11th Tamil பீடு பெற நில் - செய்யுள் - காவடிச்சிந்து Important Questions And Answers Study Material - QB365 Set A
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Tamilnadu Stateboard 11th Standard Subjects

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Accountancy

Computer Science

Physics

Chemistry

Maths

Biology

Economics

Physics

Chemistry

History

Business Maths and Statistics

Computer Science

Accountancy

Computer Applications

History

Computer Technology

Commerce

Computer Applications

Computer Technology

Tamil

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