SOCR EduMaterials FunctorActivities Bernoulli Distributions
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This is an activity to explore the Moment Generating Functions for the Bernoulli, Binomial, Geometric and Negative-Binomial Distributions.
- Description: You can access the applets for the above distributions at http://www.socr.ucla.edu/htmls/SOCR_DistributionFunctors.html .
- Exercise 1: Use SOCR to graph the MGF's and print the following distributions and answer the questions below. Also, comment on the shape of each one of these distributions:
- a.
- b.
- c.
- d.
Below you can see a snapshot of the MGF of the distribution of
Do you notice any similarities between the graphs of these MGF's between any of these distributions?
- Exercise 2: Use SOCR to graph and print the MGF of the distribution of a geometric random variable with p = 0.2,p = 0.7. What is the shape of this function? What happens when p is large? What happens when p is small?
- Exercise 3: You learned in class about the properties of MGF's If X_{1},...X_{n} are iid. and then .
- a. Show that the MGF of the sum of n independent Bernoulli Trials with success probability p is the same as the MGF of the Binomial Distribution using the corollary above.
- b. Show that the MGF of the sum of n independent Geometric Random Variables with success probability p is the same as the MGF of the Negative-Binomial Distribution using the corollary above.
- c. How does this relate to Exercise 1? Does having the same MGF mean they are distributed the same?
- Exercise 4: Graph the PDF and the MGF for the appropriate Distribution where . Be sure to include the correct parameters for this distribution, for example if be sure to include the numeric value for p
See also
- SOCR Home page: http://www.socr.ucla.edu
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