Difference between revisions of "SOCR EduMaterials Activities Binomial Distributions"

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(This is an activity to explore the Binomial, Geometric, and Hypergeometric Probability Distributions.)
 
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* '''Exercise 8:''' Refer to exercise 7.  Use SOCR to compute the exact probability: <math> P(X=2) </math>.  Approximate <math> P(X=2) </math> using the binomial distribution.  Is the approximation good?  Why?
 
* '''Exercise 8:''' Refer to exercise 7.  Use SOCR to compute the exact probability: <math> P(X=2) </math>.  Approximate <math> P(X=2) </math> using the binomial distribution.  Is the approximation good?  Why?
  
* '''Exercise 9:''' Do you think you can approximate well the hypergeometric probability distribution with <math> N=50, \ n=10 </math>, and number of "hot" items 40 using the binomial probability distribution?  Explain.
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* '''Exercise 9:''' Do you think you can approximate well the hypergeometric probability distribution with <math> N=50, \ n=20 </math>, and number of "hot" items 40 using the binomial probability distribution?  Graph and print the exact (hypergeometric) and the approximate (binomial) distributions and compare.
  
  

Latest revision as of 00:26, 15 October 2009

This is an activity to explore the Binomial, Geometric, and Hypergeometric Probability Distributions.

  • Exercise 1: Use SOCR to graph and print the following distributions and answer the questions below. Also, comment on the shape of each one of these distributions:
    • a. \( X \sim b(10,0.5) \), find \( P(X=3) \), \( E(X) \), \( sd(X) \), and verify them with the formulas discussed in class.
    • b. \( X \sim b(10,0.1) \), find \( P(1 \le X \le 3) \).
    • c. \( X \sim b(10,0.9) \), find \( P(5 < X < 8), \ P(X < 8), \ P(X \le 7), \ P(X \ge 9) \).
    • d. \( X \sim b(30,0.1) \), find \( P(X > 2) \).

Below you can see a snapshot of the distribution of \( X \sim b(20,0.3) \)


SOCR Activities Binomial Christou binomial.jpg


  • Exercise 2: Use SOCR to graph and print the distribution of a geometric random variable with \( p=0.2, p=0.7 \). What is the shape of these distributions? What happens when \( p \) is large? What happens when \( p \) is small?

Below you can see a snapshot of the distribution of \( X \sim geometric(0.4) \)


SOCR Activities Christou geometric.jpg


  • Exercise 3: Select the geometric probability distribution with \( p=0.2 \). Use SOCR to compute the following:
    • a. \( P(X=5) \)
    • b. \( P(X > 3) \)
    • c. \( P(X \le 5) \)
    • d. \( P(X > 6) \)
    • e. \( P(X \ge 8) \)
    • f. \( P(4 \le X \le 9) \)
    • g. \( P(4 < X < 9) \)
  • Exercise 4: Verify that your answers in exercise 3 agree with the formulas discussed in class, for example, \( P(X=x)=(1-p)^{x-1}p \), \( P(X > k)=(1-p)^k \), etc. Write all your answers in detail using those formulas.
  • Exercise 5: Let \( X \) follow the hypergeometric probability distribution with \( N=52 \), \( n=10 \), and number of "hot" items 13. Use SOCR to graph and print this distribution.

Below you can see a snapshot of the distribution of \( X \sim hypergeometric(N=100, n=15, r=30) \)


SOCR Activities Christou hypergeometric.jpg


  • Exercise 6: Refer to exercise 5. Use SOCR to compute \( P(X=5) \) and write down the formula that gives this answer.
  • Exercise 7: Binomial approximation to hypergeometric: Let \( X \) follow the hypergeometric probability distribution with \( N=1000, \ n=10 \) and number of "hot" items 50. Graph and print this distribution.
  • Exercise 8: Refer to exercise 7. Use SOCR to compute the exact probability\[ P(X=2) \]. Approximate \( P(X=2) \) using the binomial distribution. Is the approximation good? Why?
  • Exercise 9: Do you think you can approximate well the hypergeometric probability distribution with \( N=50, \ n=20 \), and number of "hot" items 40 using the binomial probability distribution? Graph and print the exact (hypergeometric) and the approximate (binomial) distributions and compare.





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