Difference between revisions of "SOCR EduMaterials Activities Exponential Distribution"

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* '''Description''':  You can access the applet for the [http://www.socr.ucla.edu/htmls/SOCR_Distributions.html Exponential Distributions]  
 
* '''Description''':  You can access the applet for the [http://www.socr.ucla.edu/htmls/SOCR_Distributions.html Exponential Distributions]  
  
 +
* Here is the shape of the exponential distribution (this is a snpashot from the SOCR website):
  
\begin{itemize}
+
<center>[[Image:SOCR_Activities_ExponentialDistribution_Christou_092206_Fig1.jpg |600px]]</center>
\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:''' Graph and print:
 +
**a. exp(0.2)
 +
**b. exp(1)
 +
**c. exp(10)
  
 +
* '''Exercise 2:''' Locate the maximum density for each one of these distributions. 
  
 +
* '''Exercise 3:''' 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).
  
 +
* '''Exercise 4:''' Find one percentile for each of these distributions and record them on the printouts.  Verify these  percentiles using the formula we discussed in class:
  
  
* '''Exercise 1''': Construct the joint probability distribution of X and Y.
+
<math>
 +
x_p=\frac{ln(1-\frac{p}{100})}{-\lambda}
 +
</math>
  
 +
* '''Exercise 5:''' Compute one cumulative probability for each one of these distributions, show it on the graph, and verify it with the formula:
 +
<math>
 +
P(X \le x)=1-e^{-\lambda x}
 +
</math>
  
* '''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 [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.
 
 
b. n= 10000 times
 
 
<center>[[Image:SOCR_Activities_DieCoinExperiment_Christou_092206_Fig1.jpg |600px]]</center>
 
  
* '''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.
 
  
 
<hr>
 
<hr>
 
* SOCR Home page: http://www.socr.ucla.edu
 
* SOCR Home page: http://www.socr.ucla.edu
  
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_ConfidenceIntervals}}
+
{{translate|pageName=http://wiki.stat.ucla.edu/socr/index.php?title=SOCR_EduMaterials_Activities_Exponential_Distribution}}

Latest revision as of 14:01, 8 July 2007

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

  • Here is the shape of the exponential distribution (this is a snpashot from the SOCR website):
SOCR Activities ExponentialDistribution Christou 092206 Fig1.jpg


  • Exercise 1: Graph and print:
    • a. exp(0.2)
    • b. exp(1)
    • c. exp(10)
  • Exercise 2: Locate the maximum density for each one of these distributions.
  • Exercise 3: 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).
  • Exercise 4: Find one percentile for each of these distributions and record them on the printouts. Verify these percentiles using the formula we discussed in class\[ x_p=\frac{ln(1-\frac{p}{100})}{-\lambda} \]
  • Exercise 5: Compute one cumulative probability for each one of these distributions, show it on the graph, and verify it with the formula\[ P(X \le x)=1-e^{-\lambda x} \]





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