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State and explain Theorem of transmissibility of forces?
states that the external effect of force are independent of the point of application of the force along its line of action.
What is a good conclusion on a paper about probability?
Explain what the differences are in the results you have found. Include the quesion you have been trying to find the anwsers too and relate the results. Explain your prediction and state what you have found
How can you state and illustrate the addition multiplication Theorem of Probability?
Addition Theorem The addition rule is a result used to determine the probability that event A or event B occurs or both occur. ; The result is often written as follows, using set notation: : ; where: : P(A) = probability that event A occurs : P(B) = probability that event B occurs : = probability that event A or event B occurs : = probability that event A and event B both occur ; For mutually exclusive events, that is events which cannot occur together: : = 0 ; The addition rule therefore reduces to : = P(A) + P(B) ; For independent events, that is events which have no influence on each other: : ; The addition rule therefore reduces to : ; Example ; Suppose we wish to find the probability of drawing either a king or a spade in a single draw from a pack of 52 playing cards. ; We define the events A = 'draw a king' and B = 'draw a spade' ; Since there are 4 kings in the pack and 13 spades, but 1 card is both a king and a spade, we have: : = 4/52 + 13/52 - 1/52 = 16/52 ; So, the probability of drawing either a king or a spade is 16/52 (= 4/13).MultiplicationTheorem The multiplication rule is a result used to determine the probability that two events, A and B, both occur. The multiplication rule follows from the definition of conditional probability. ; The result is often written as follows, using set notation: : ; where: : P(A) = probability that event A occurs : P(B) = probability that event B occurs : = probability that event A and event B occur : P(A | B) = the conditional probability that event A occurs given that event B has occurred already : P(B | A) = the conditional probability that event B occurs given that event A has occurred already ; For independent events, that is events which have no influence on one another, the rule simplifies to: : ; That is, the probability of the joint events A and B is equal to the product of the individual probabilities for the two events.
State and prove Arzela Ascoli theorem?
I will give a link that explains and proves the theorem.
Definition of kleene's theorem plus example?
kleene's theorem state that those who defined fa
What does the impulse momentum theorem state?
Impulse-momentum theorem
State and prove fundamental theorem of cyclic groups?
..?
What does each theorem state?
what is mid point theoram?
What does the radius-tangent theorem state?
The radius-tangent theorem is math involving a circle. The radius-tangent theorem states that a line is tangent to a circle if it is perpendicular to the radius of a circle.
What is the probability that a state does not begin with a vowel?
The answer depends on the state of which country!
How do you state a probability?
lands heads up
How does quantum mechanics explain transition probability?
The transition probability, l, is also called the decay probability and is related to the mean lifetime t of the state by l = 1/t. The general form of Fermi's golden rule can apply to atomic transitions, nuclear decay, or scattering. For more information go to: http://hyperphysics.phy-astr.gsu.edu/hbase/quantum/fermi.html
