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19.X.2.2. Additive Property

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  1. 1.

    If X∼Poisson(2)X \sim Poisson(2) and Y∼Poisson(3)Y \sim Poisson(3), what is the distribution of X+YX + Y?

    Hint

    Add the means.

  2. 2.

    Is the sum of two independent Poisson distributions Normal?

    Hint

    Think about the independence and definition.

  3. 3.

    If X1X_1 and X2X_2 are independent Poisson variables, what type is X1+X2X_1 + X_2?

    • Normal
    • Poisson
    • Uniform
    Hint

    Reflect on the key properties of Poisson distributions.

  4. 4.

    The means of two independent Poisson distributions combine to a different type of distribution.

    • True
    • False
    Hint

    Think about how additive properties work.

  5. 5.

    In a service station, cars arrive following Poisson distributions: A∼Poisson(5)A \sim Poisson(5), B∼Poisson(7)B \sim Poisson(7), and C∼Poisson(4)C \sim Poisson(4). What is the mean of total cars arriving?

    Hint

    Just sum all individual means.

  6. 6.

    A factory has three machinery lines producing defects with averages 2, 3, and 1: X∼Poisson(2)X \sim Poisson(2), Y∼Poisson(3)Y \sim Poisson(3), Z∼Poisson(1)Z \sim Poisson(1). What is the distribution of total defects?

    Hint

    Remember to treat each defect source independently.

Exercises

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting

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Quiz

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting

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Challenge Problems

Total Questions

2

Estimated Time

4 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting