In his writings, Alexander Hamilton used the word 'upon' an average of 3.24 times per thousand words. Let X = the number of times 'upon' is used in a randomly selected 1000 words of Alexander HamiltonOs writings. X may be modeled as a Poisson random variable with parameter A = 3.24. Let Y equal the number of times 'upon' is used in a randomly selected 3000 words of Alexander HamiltonOs writings. a. For our model, what is expected value of X? b. What is the probability that X = 3? c. What is the probability that X < 6?

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**Understanding Poisson Distributions in Hamilton's Writings**

In his writings, Alexander Hamilton used the word "upon" an average of 3.24 times per thousand words. Let \( X \) be the number of times "upon" is used in a randomly selected 1000 words of Alexander Hamilton's writings. \( X \) may be modeled as a Poisson random variable with a parameter \( \lambda = 3.24 \). Let \( Y \) equal the number of times "upon" is used in a randomly selected 3000 words of Alexander Hamilton's writings.

### Questions:

a. **For our model, what is the expected value of \( X \)?**

b. **What is the probability that \( X = 3 \)?**

c. **What is the probability that \( X < 6 \)?**

d. **What is the probability that \( X > 5 \)?**

e. **What is the probability that \( X = 0 \)?**

f. **\( Y \) also has a Poisson distribution. What is the parameter \( \lambda \) for \( Y \)?**

g. **What is the variance of \( Y \)?**

h. **What is the standard deviation of \( Y \)?**

i. **What is the probability that \( Y = 9 \)?**

j. **What is the probability that \( Y > 9 \)?**

*Add any comments below.*

---

This exercise provides an application of Poisson distributions, which are used to model the number of times an event occurs in a fixed interval of time or space. By understanding this model, one can analyze and predict linguistic patterns in historical texts.
Transcribed Image Text:**Understanding Poisson Distributions in Hamilton's Writings** In his writings, Alexander Hamilton used the word "upon" an average of 3.24 times per thousand words. Let \( X \) be the number of times "upon" is used in a randomly selected 1000 words of Alexander Hamilton's writings. \( X \) may be modeled as a Poisson random variable with a parameter \( \lambda = 3.24 \). Let \( Y \) equal the number of times "upon" is used in a randomly selected 3000 words of Alexander Hamilton's writings. ### Questions: a. **For our model, what is the expected value of \( X \)?** b. **What is the probability that \( X = 3 \)?** c. **What is the probability that \( X < 6 \)?** d. **What is the probability that \( X > 5 \)?** e. **What is the probability that \( X = 0 \)?** f. **\( Y \) also has a Poisson distribution. What is the parameter \( \lambda \) for \( Y \)?** g. **What is the variance of \( Y \)?** h. **What is the standard deviation of \( Y \)?** i. **What is the probability that \( Y = 9 \)?** j. **What is the probability that \( Y > 9 \)?** *Add any comments below.* --- This exercise provides an application of Poisson distributions, which are used to model the number of times an event occurs in a fixed interval of time or space. By understanding this model, one can analyze and predict linguistic patterns in historical texts.
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Given information-

We have given the problem of Poisson distribution.

Mean, λ = 3.24

X = Poisson random variable

PMF of this distribution is-

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