Difference between revisions of "SOCR Courses 2011 2012 Stat13 1 Lab2"
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===Problem 1=== | ===Problem 1=== | ||
− | There are two random variables (X,Y), one parameter (p) for the coin, and the probability distribution that governs each die (green or red) involved in this experiment. Describe what each random variable represents. | + | There are two random variables (X=coin,Y=die), one parameter (p) for the coin, and the probability distribution that governs each die (green or red) involved in this experiment. Describe what each random variable represents. |
* Choose a fair coin (p = 0.5), and fair dice (green and red). | * Choose a fair coin (p = 0.5), and fair dice (green and red). | ||
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===Problem 4=== | ===Problem 4=== | ||
* Reset | * Reset | ||
− | * Choose p = 0.8, 1 | + | * Choose p = 0.8, 1 and 6 flat for the green die (0.25 0.125 0.125 0.125 0.125 0.25), and 3 and 4 flat for the red die (0.125 0.125 0.25 0.25 0.125 0.125) |
* Perform 100 runs and take a snapshot | * Perform 100 runs and take a snapshot | ||
− | Construct the probability distribution of Y | + | Construct the probability distribution of Y. |
===Problem 5=== | ===Problem 5=== | ||
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===Problem 6=== | ===Problem 6=== | ||
− | + | Find the theoretical standard deviation of Y | |
===Problem 7=== | ===Problem 7=== | ||
− | Verify that | + | Verify that the mean agrees with the one in the distribution column of the [http://socr.ucla.edu/htmls/exp/Coin_Die_Experiment.html applet]. |
===Problem 8=== | ===Problem 8=== | ||
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The Monte Hall Activity can be found here: [[SOCR EduMaterials Activities MontyHall]] and the [http://socr.ucla.edu/htmls/exp/Monty_Hall_Experiment.html applet is here]. | The Monte Hall Activity can be found here: [[SOCR EduMaterials Activities MontyHall]] and the [http://socr.ucla.edu/htmls/exp/Monty_Hall_Experiment.html applet is here]. | ||
+ | Click on the '''About''' button and read about the experiment. | ||
+ | * Perform 100 runs when p = 0 and p = 1. Take a snapshot of both results. | ||
+ | |||
+ | If you are playing this game only one time, should you switch doors? Why? | ||
<hr> | <hr> |
Latest revision as of 18:51, 24 January 2012
Contents
Stats 13.1 - Laboratory Activity 2: Coin Die Experiment
Go to SOCR Experiments and use the scroll bar to find the Coin Die Experiment. Once you find it, click on the About button and read about the experiment. Answer the following questions with references to graphs where appropriate.
Problem 1
There are two random variables (X=coin,Y=die), one parameter (p) for the coin, and the probability distribution that governs each die (green or red) involved in this experiment. Describe what each random variable represents.
- Choose a fair coin (p = 0.5), and fair dice (green and red).
- Perform 10 runs and take a snapshot
- Perform 100 runs and take a snapshot
Problem 2
Construct the probability distribution of Y
Problem 3
Comment on the empirical and theoretical distributions how the sample size affects them.
Problem 4
- Reset
- Choose p = 0.8, 1 and 6 flat for the green die (0.25 0.125 0.125 0.125 0.125 0.25), and 3 and 4 flat for the red die (0.125 0.125 0.25 0.25 0.125 0.125)
- Perform 100 runs and take a snapshot
Construct the probability distribution of Y.
Problem 5
Compute the theoretical mean of Y
Problem 6
Find the theoretical standard deviation of Y
Problem 7
Verify that the mean agrees with the one in the distribution column of the applet.
Problem 8
- Reset
- Choose p = 0.2, green fair die, 2-5 flat for red die
- Perform 100 runs and take a snapshot
Construct the probability distribution of Y
Problem 9
Comment on the empirical and theoretical distributions. Also, comment on how the coin's parameter (p) affects the theoretical distributions.
Monte Hall Activity (Let's Make a Deal)
The Monte Hall Activity can be found here: SOCR EduMaterials Activities MontyHall and the applet is here.
Click on the About button and read about the experiment.
- Perform 100 runs when p = 0 and p = 1. Take a snapshot of both results.
If you are playing this game only one time, should you switch doors? Why?
- SOCR Home page: http://www.socr.ucla.edu
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