Answer:

Experimental or Empirical Probability for an event P(E):-

\boxed{\sf P(E) \: = \: \dfrac{Number \: of \: trails \: in \: which \: the \: event \: happened}{Total \: number \: of \: trails}}

P(E)=

Totalnumberoftrails

Numberoftrailsinwhichtheeventhappened

\GREEN{\textsf{\underline{\underline{Theoretical or Classical Probability for an event P(T):-}}}}

Theoretical or Classical Probability for an event P(T):-

\boxed{\sf P(T) \: = \: \dfrac{Number \: of \: OUTCOMES \: favourable \: to \: T}{Number \: of \: all \: possible \: outcomes \: of \: the \: experiment}}

P(T)=

Numberofallpossibleoutcomesoftheexperiment

NumberofoutcomesfavourabletoT

\PURPLE{\textsf{\underline{\underline{Complementary EVENTS:-}}}}

Complementary Events:-

\boxed{\sf P(E) \: + \: P(not \: E) \: = \: 1.}

P(E)+P(notE)=1.

\pink{\textsf{\underline{\underline{Probability of an event LIES between:-}}}}

Probability of an event lies between:-

\boxed{\sf 0\: ≤\: P(E) \: ≤ \: 1.}

0≤P(E)≤1.

\red{\textsf{\underline{\underline{Probability of a sure event = 1.}}}}

Probability of a sure event = 1.

\green{\textsf{\underline{\underline{Probability of a impossible event = 0.}}}}

Probability of a impossible event = 0.