SOCR EduMaterials Activities Discrete Distributions
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(Difference between revisions)
(→This is an activity to explore the Binomial, Geometric, and Hypergeometric Probability Distributions.) |
(→This is an activity to explore the Binomial, Geometric, and Hypergeometric Probability Distributions.) |
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**a. <math> X \sim b(10,0.5) </math>, find <math> P(X=3) </math>, <math> E(X) </math>, <math> sd(X) </math>, and verify them with the formulas discussed in class. | **a. <math> X \sim b(10,0.5) </math>, find <math> P(X=3) </math>, <math> E(X) </math>, <math> sd(X) </math>, and verify them with the formulas discussed in class. | ||
**b. <math> X \sim b(10,0.1) </math>, find <math> P(1 \le X \le 3) </math>. | **b. <math> X \sim b(10,0.1) </math>, find <math> P(1 \le X \le 3) </math>. | ||
- | **c. <math> \sim b(10,0.9) </math>, find <math> P(5 < X < 8), P(X < 8), P(X \le 7), P(X \ge 9) </math>. | + | **c. <math> \sim b(10,0.9) </math>, find <math> P(5 < X < 8), \ P(X < 8), \ P(X \le 7), \ P(X \ge 9) </math>. |
**d. <math> X \sim b(30,0.1) </math>, find <math> P(X > 2) </math>. | **d. <math> X \sim b(30,0.1) </math>, find <math> P(X > 2) </math>. | ||
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* '''Exercise 5:''' Let <math> X </math> follow the hypergeometric probability distribution with <math> N=52 </math>, <math> n=10 </math>, and number of "hot" items 13. Use SOCR to graph and print this distribution. | * '''Exercise 5:''' Let <math> X </math> follow the hypergeometric probability distribution with <math> N=52 </math>, <math> n=10 </math>, and number of "hot" items 13. Use SOCR to graph and print this distribution. | ||
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Below you can see a snapshot of the distribution of <math> X \sim hypergeometric(N=100, n=15, r=30) </math> | Below you can see a snapshot of the distribution of <math> X \sim hypergeometric(N=100, n=15, r=30) </math> | ||
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* '''Exercise 6:''' Refer to exercise 5. Use SOCR to compute <math> P(X=5) </math> and write down the formula that gives this answer. | * '''Exercise 6:''' Refer to exercise 5. Use SOCR to compute <math> P(X=5) </math> and write down the formula that gives this answer. | ||
- | * '''Exericise 7:''' Binomial approximation to hypergeometric: Let <math> X </math> follow the hypergeometric probability distribution with <math> N=1000, n=10 </math> and number of "hot" items 50. Graph and print this distribution. | + | * '''Exericise 7:''' Binomial approximation to hypergeometric: Let <math> X </math> follow the hypergeometric probability distribution with <math> N=1000, \ n=10 </math> and number of "hot" items 50. Graph and print this distribution. |
* '''Exercise 8:''' Refer to exerciise 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 exerciise 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. | + | * '''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. |
Revision as of 03:29, 22 October 2006
This is an activity to explore the Binomial, Geometric, and Hypergeometric Probability Distributions.
- Description: You can access the applets for the above distributions at http://www.socr.ucla.edu/htmls/SOCR_Distributions.html .
- 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. , find P(X = 3), E(X), sd(X), and verify them with the formulas discussed in class.
- b. , find .
- c. , find .
- d. , find P(X > 2).
Below you can see a snapshot of the distribution of
- 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
- 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.
- d. P(X > 6)
- e.
- f.
- g. P(4 < X < 9)
- Exercise 4: Verify that your answers in exercise 3agree with the formulas discussed in class, for example, P(X = x) = (1 − p)x − 1p, 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
- Exercise 6: Refer to exercise 5. Use SOCR to compute P(X = 5) and write down the formula that gives this answer.
- Exericise 7: Binomial approximation to hypergeometric: Let X follow the hypergeometric probability distribution with and number of "hot" items 50. Graph and print this distribution.
- Exercise 8: Refer to exerciise 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 , and number of "hot" items 40 using the binomial probability distribution? Explain.
- SOCR Home page: http://www.socr.ucla.edu
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