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If p is any statement then (p vee ~p) i...

If p is any statement then `(p vee ~p)` is a

A

Contingency

B

Contradiction

C

Tautology

D

None of these

Text Solution

AI Generated Solution

The correct Answer is:
To determine the nature of the statement \( p \vee \neg p \) (where \( \vee \) represents logical OR and \( \neg \) represents negation), we can use a truth table. Here’s a step-by-step solution: ### Step 1: Define the Variables Let \( p \) be any statement. The two possible truth values for \( p \) are: - True (T) - False (F) ### Step 2: Determine the Negation The negation of \( p \), denoted as \( \neg p \), will have the following values: - If \( p \) is True (T), then \( \neg p \) is False (F). - If \( p \) is False (F), then \( \neg p \) is True (T). ### Step 3: Create the Truth Table Now we can create the truth table for \( p \) and \( \neg p \): | \( p \) | \( \neg p \) | \( p \vee \neg p \) | |---------|---------------|---------------------| | T | F | T | | F | T | T | ### Step 4: Analyze the Results In the truth table, the column for \( p \vee \neg p \) shows that: - When \( p \) is True, \( p \vee \neg p \) is True. - When \( p \) is False, \( p \vee \neg p \) is also True. ### Step 5: Conclusion Since \( p \vee \neg p \) is always True regardless of the truth value of \( p \), we conclude that the statement \( p \vee \neg p \) is a **tautology**. ### Final Answer Thus, \( p \vee \neg p \) is a tautology. ---
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NAVNEET PUBLICATION - MAHARASHTRA BOARD-QUESTION BANK 2021-BINOMIAL DISTRIBUTION
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  3. Given that X ~ B (n, P). If n = 10, P = 0.4 then E(X) = .................

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  4. For X ~ B (n, P), If v(x) = 2.4 and P = 0.4 then n = ..............

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  5. Given that X ~ B( n=10, p) .If E (x) = 8, find the value of p .

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  6. Bernoulli distribution is a particular case of binomial distribution i...

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  7. For X ~ B (n,p) and E (X) = 12, Var (X) = 4, then the value of n is

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  8. For Bernoulli Distribution , state formula for E(X) and V(X)

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  9. For X ~ B(n , P) and P(X=x) = ""^(8)C(x) (1//2)^(x) (1//2)^(8-x) then ...

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  10. BERNOULLI TRIAL AND BINOMIAL DISTRIBUTION

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  11. A die is rolled .IF X denotes the number of positive divisors ...

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  12. A r.v. X~B (n, p). If values of mean and variance of X are 18 and 12 r...

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  13. Given X~B(n,p) if E(X) = 6, Var (X) = 4.2 , find the value of n and p...

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  14. If X ~ B (n,p) with n=10 , p = 0.4 the E (X^(2 ))=?

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  15. If X ~ B (6,p) and 2. P (x =3) =P(X= 3) =P (X- 2) then find the valu...

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  16. Let the p,m f. of r.v X be d p(x)+((4) ,(x))(5/9)^x(4/9)^(4-x) , ...

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  17. A Fair coin is tossed 5 times , find the probability that a) coin show...

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  19. Find the probability of guessing correctly at least nine out of ten an...

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