SOCR EduMaterials Activities ExpDist

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== This is an activity to explore the Exponential Distribution:  Learn how to compute probabilities, densities, and percentiles. ==
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== This is an activity to explore the Exponential Distribution:  Learn how to compute probabilities, densities, and percentiles==
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* '''Description'''You can access the applet for the [http://www.socr.ucla.edu/htmls/SOCR_Distributions.html Exponential Distributions]  
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=='''Description'''==
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You can access the applet for the [http://www.socr.ucla.edu/htmls/SOCR_Distributions.html Exponential Distributions]  
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\begin{itemize}
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<math>\begin{itemize}
\item[a.] Graph and print \\
\item[a.] Graph and print \\
$X \sim exp(0.2)$ \\
$X \sim exp(0.2)$ \\
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\item[1.] Find one percentile for each one of these distributions and locate them on the printouts.
\item[1.] Find one percentile for each one of these distributions and locate them on the printouts.
\item[2.] Find one cumulative probability for each one of these distributions and locate them on the printouts.
\item[2.] Find one cumulative probability for each one of these distributions and locate them on the printouts.
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\end{itemize}
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\end{itemize}</math>
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* '''Exercise 1''': Construct the joint probability distribution of X and Y.
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=='''Exercise 1'''==
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Construct the joint probability distribution of X and Y.
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* '''Exercise 2''': Find the conditional expected value of Y given X=5.
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=='''Exercise 2'''==
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Find the conditional expected value of Y given X=5.
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* '''Exercise 3''': Find the conditional variance of Y given X=5.
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=='''Exercise 3'''==
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Find the conditional variance of Y given X=5.
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* '''Exercise 4'''Find the expected value of Y.
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=='''Exercise 4'''==
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Find the expected value of Y.
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* '''Exercise 5''': Find the standard deviation of Y.
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=='''Exercise 5'''==
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Find the standard deviation of Y.
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* '''Exercise 6''': Graph the probability distribution of Y.
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=='''Exercise 6'''==
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Graph the probability distribution of Y.
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* '''Exercise 7''': Use SOCR [http://www.socr.ucla.edu/htmls/SOCR_Experiments.html Experiments] and choose "Die Coin Experiment" to graph and print the empirical distribution of Y when the experiment is performed:
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=='''Exercise 7'''==
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Use SOCR [http://www.socr.ucla.edu/htmls/SOCR_Experiments.html Experiments] and choose "Die Coin Experiment" to graph and print the empirical distribution of Y when the experiment is performed:
a. n = 1000 times.
a. n = 1000 times.
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<center>[[Image:SOCR_Activities_DieCoinExperiment_Christou_092206_Fig1.jpg |600px]]</center>
<center>[[Image:SOCR_Activities_DieCoinExperiment_Christou_092206_Fig1.jpg |600px]]</center>
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* '''Exercise 8''': Compare the theoretical mean and standard deviation of Y (exercise 4 and 5) with the empirical mean and standard deviation found in exercise 7.
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=='''Exercise 8'''==
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Compare the theoretical mean and standard deviation of Y (exercise 4 and 5) with the empirical mean and standard deviation found in exercise 7.
<hr>
<hr>
* SOCR Home page: http://www.socr.ucla.edu
* SOCR Home page: http://www.socr.ucla.edu
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{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_ConfidenceIntervals}}
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{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_ExpDist}}

Revision as of 17:10, 12 June 2007

Contents

This is an activity to explore the Exponential Distribution: Learn how to compute probabilities, densities, and percentiles

Description

You can access the applet for the Exponential Distributions


Failed to parse (unknown function\begin): \begin{itemize} \item[a.] Graph and print \\ $X \sim exp(0.2)$ \\ $X \sim exp(1)$ \\ $X \sim exp(10)$ \begin{itemize} \item[1.] Locate the maximum density for each one of these distributions. \item[2.] Find the height of the density at 3 values of $X$ (one near 0, one near the mean, and one towards the tail of the distribution). \item[3.] Find one percentile for each of these distributions and record them on the printouts. Verify these percentiles using the formula we discussed in class: \[ x_p=\frac{ln(1-\frac{p}{100})}{-\lambda} \] \item[4.] Compute one cumulative probability for each one of these distributions, show it on the graph, and verify it with the formula: \[ P(X \le x)=1-e^{-\lambda x} \] \end{itemize} \item[b.] Graph and print \\ $X \sim N(2,0.5)$ \\ $X \sim N(10,2)$ \\ $X \sim N(20,5$ \begin{itemize} \item[1.] Find one percentile for each one of these distributions and locate them on the printouts. \item[2.] Find one cumulative probability for each one of these distributions and locate them on the printouts. \end{itemize}





Exercise 1

Construct the joint probability distribution of X and Y.


Exercise 2

Find the conditional expected value of Y given X=5.


Exercise 3

Find the conditional variance of Y given X=5.


Exercise 4

Find the expected value of Y.


Exercise 5

Find the standard deviation of Y.


Exercise 6

Graph the probability distribution of Y.


Exercise 7

Use SOCR Experiments and choose "Die Coin Experiment" to graph and print the empirical distribution of Y when the experiment is performed:

a. n = 1000 times.

b. n= 10000 times

Exercise 8

Compare the theoretical mean and standard deviation of Y (exercise 4 and 5) with the empirical mean and standard deviation found in exercise 7.




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