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What is Probability? State the Axioms of Probability. Write shote notes on the following: i) Experiment ii) Sample Space iii) Event Space iv) Sample Point v) Trials. If a fair die is tossed once, what is the probability that a perfect square did not show up?

Mathematics

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I will solve question 1.a) and 1.b) for you.

1. a) What is Probability? State the Axioms of Probability

Probability is a measure of the likelihood that an event will occur. It is quantified as a number between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

The Axioms of Probability (Kolmogorov Axioms) are:

  1. Non-negativity

    The probability of any event AA is a non-negative real number.

    P(A)≥0P(A) \ge 0
  2. Normalization

    The probability of the sample space SS (the set of all possible outcomes) is 1.

    P(S)=1P(S) = 1
  3. Additivity (for mutually exclusive events)

    For any sequence of mutually exclusive events A1,A2,A3,…A_1, A_2, A_3, \dots, the probability of their union is the sum of their individual probabilities.

    P(A1∪A2∪A3∪… )=P(A1)+P(A2)+P(A3)+…P(A_1 \cup A_2 \cup A_3 \cup \dots) = P(A_1) + P(A_2) + P(A_3) + \dots

    1. b) Write short notes on the following:

    i) Experiment
    An experiment is any process that generates a set of well-defined outcomes. Examples include tossing a coin, rolling a die, or measuring a person's height.

    ii) Sample Space
    The sample space (SS) of an experiment is the set of all possible outcomes. For example, when rolling a standard six-sided die, the sample space is S={1,2,3,4,5,6}S = \{1, 2, 3, 4, 5, 6\}.

    iii) Event Space
    An event space (or simply an event) is a subset of the sample space. It represents a specific outcome or a collection of outcomes. For example, when rolling a die, the event "rolling an even number" is the subset {2,4,6}\{2, 4, 6\}.

    iv) Sample Point
    A sample point is an individual outcome in the sample space. It is a single element of the sample space. For example, when rolling a die, '3' is a sample point.

    v) Trials
    A trial is a single performance of an experiment. If an experiment is repeated multiple times, each repetition is considered a trial. For example, tossing a coin 10 times involves 10 trials.

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