\(A\) and \(B\) are mutually exclusive.
\(P(A'B')=[1–P(A)] [1–P(B)]\)
\(P(A)=P(B)\)
\(P(A)+P(B)=1\)
A circular coil of diameter 15 mm having 300 turns is placed in a magnetic field of 30 mT such that the plane of the coil is perpendicular to the direction of the magnetic field. The magnetic field is reduced uniformly to zero in 20 ms and again increased uniformly to 30 mT in 40 ms. If the EMFs induced in the two time intervals are \( e_1 \) and \( e_2 \) respectively, then the value of \( e_1 / e_2 \) is:
Independent Events are those events that are not dependent on the occurrence or happening of any other event. For instance, if we flip a dice and get 2 as the outcome, and if we flip it again and then get 6 as the outcome. In Both cases, the events have different results and are not dependent on each other.
All the events that are not dependent on the occurrence and nonoccurrence are denominated as independent events. If Event 1 does not depend on the occurrence of Event 2, then both Events 1 and 2 are independent Events.
Two Events: Event 1 and Event 2 are independent if,
P(2|1) = P (2) given P (1) ≠ 0
and
P (1|2) = P (1) given P (2) ≠ 0
Two events 1 and 2 are further independent if,
P(1 ∩ 2) = P(1) . P (2)