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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
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 states that a radius drawn to the point of tangency of a circle is perpendicular to the tangent line at that point. This theorem is based on the fact that the radius of a circle is always perpendicular to the tangent line at the point where the tangent touches the circle. This relationship is crucial in geometry and helps in solving various problems related to circles and tangents.
What is the probability that a state does not begin with a vowel?
The answer depends on the state of which country!
How does quantum mechanics explain transition probability?
Quantum mechanics explains transition probability through the concept of wave functions, which describe the probability distribution of finding a particle in a given state. When a system undergoes a transition from one state to another, the transition probability is related to the overlap between the initial and final wave functions of the system. This overlap determines the likelihood of the transition occurring.
How do you state a probability?
lands heads up
If two events A and B are mutually exclusive what does the special rule of addition state?
If two events A and B are mutually exclusive, the special rule of addition states that the probability of one or the other event's occurring equals the sum of their probabilities. This rule is expressed in the following formula:Special Rule of Addition(5-2)Equation 5-2
