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<li><math>\sum_{i=1}^n P(A_i)  < P(A_1 \cup \cdots \cup A_n)</math></li>
<li><math>\sum_{i=1}^n P(A_i)  = P(A_1 \cup \cdots \cup A_n)</math></li>
<li><math>\sum_{i=1}^n P(A_i)  = P(A_1 \cup \cdots \cup A_n)</math></li>
<li><math>\sum_{i=1}^n P(A_i)  < 1</math></li>
<li><math>\sum_{i=1}^n P(A_i)  < 1</math></li>
<li><math>\Omega</math> must have at least <math>2^n</math> points.</li>
<li><math>\Omega</math> must have at least <math>2^n</math> points.</li>
<li><math>\Omega</math> must have at least <math>2n</math> points.</li>
<li><math>\Omega</math> must have at least <math>2n</math> points.</li>
<li><math>\sum_{i=1}^j P(A_1 \cup \ldots \cup A_j)  = P(A_1 \cup \ldots \cup A_n)</math> for <math>j < n </math></li>
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Latest revision as of 14:15, 21 June 2024

Suppose you are given the following:

  1. [math]A_1, A_2, \ldots,A_n[/math] are independent events defined on a sample space [math]\Omega[/math]
  2. [math]0 \lt P(A_j) \lt 1[/math] for all [math]j[/math]

Which of the following statements is always true?

  • [math]\sum_{i=1}^n P(A_i) = P(A_1 \cup \cdots \cup A_n)[/math]
  • [math]\sum_{i=1}^n P(A_i) \lt 1[/math]
  • [math]\Omega[/math] must have at least [math]2^n[/math] points.
  • [math]\Omega[/math] must have at least [math]2n[/math] points.
  • [math]\sum_{i=1}^j P(A_1 \cup \ldots \cup A_j) = P(A_1 \cup \ldots \cup A_n)[/math] for [math]j \lt n [/math]

References

Doyle, Peter G. (2006). "Grinstead and Snell's Introduction to Probability" (PDF). Retrieved June 6, 2024.