This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.

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x) & 1/8 & 3/8 & 3/8 & 1/8 \
Here's a summary of the concepts from your notes:
• Sample Space: In a statistical experiment, the set of all possible outcomes is called the Sample Space. • Example: For rolling a die, the sample space is .
• Random Variable: A random variable, often denoted by , is a function that assigns a real number to each outcome in the sample space. • A random variable is discrete if it takes on a finite or countably infinite number of integer values. • Example: If a fair coin is tossed twice, let denote the number of heads. The possible values for are .
• Probability Mass Function (PMF): For a discrete random variable with possible values , the probability mass function is written as , which gives the probability that the random variable takes on a specific value . • Example: For tossing three coins, the sample space is . If is the number of heads, the PMF is:
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Here's a summary of the concepts from your notes: • Sample Space: In a statistical experiment, the set of all possible outcomes is called the Sample Space.
This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.