Difference between revisions of "SOCR EduMaterials Activities Distributions"
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=== Example: Here we use Normal distribution (mean=5, sigma=4) as an example === | === Example: Here we use Normal distribution (mean=5, sigma=4) as an example === | ||
| − | + | === Step 1: Set up parameters! Select the Normal Distribution from the drop-down list on the top-left. Set Mean = 5 & Standard Deviation = 4. Now the density function of Normal(μ=5, σ=4) will show up in the top-right with red color. See following figure.=== | |
<center>[[Image:Dinov_SOCR_DistributionActivity_Fig1_091806.jpg|300px]]</center> | <center>[[Image:Dinov_SOCR_DistributionActivity_Fig1_091806.jpg|300px]]</center> | ||
| − | + | === Step 2: Compute P(X<7)! Move cursor from 21, the most right side, to the right until 7. Now the red area means X<7. And the probability of red area is always represented by the value of “Between”. Hence P(X<7)=0.691431. See figure below.=== | |
<center>[[Image:Dinov_SOCR_DistributionActivity_Fig2_091806.jpg|300px]]</center> | <center>[[Image:Dinov_SOCR_DistributionActivity_Fig2_091806.jpg|300px]]</center> | ||
| − | * To get a snapshot of this result, click on Snapshot. Then save the file with a filename and extension .jpg , for example, HW1_Image2.jpg. When done, you can open that new .jpeg file and go to edit→copy. Open separately a Word file and paste into that file. You can reduce the image, but make sure that it is big enough for us to see the numbers | + | * To get a snapshot of this result, click on Snapshot. Then save the file with a filename and extension .jpg , for example, HW1_Image2.jpg. When done, you can open that new .jpeg file and go to edit→copy. Open separately a Word file and paste into that file. You can reduce the image, but make sure that it is big enough for us to see the numbers. |
* Step 3: Compute P(X>3)! Move cursor from -11, the most right side, to the left until 3. Red area means X>3. And the probability of red area is always recorded in the value of “Between”. Therefore, P(X>3)=0.691431. See figure below. Is the result the same as in Step 2, by chance? Explain! | * Step 3: Compute P(X>3)! Move cursor from -11, the most right side, to the left until 3. Red area means X>3. And the probability of red area is always recorded in the value of “Between”. Therefore, P(X>3)=0.691431. See figure below. Is the result the same as in Step 2, by chance? Explain! | ||
<center>[[Image:Dinov_SOCR_DistributionActivity_Fig3_091806.jpg|300px]]</center> | <center>[[Image:Dinov_SOCR_DistributionActivity_Fig3_091806.jpg|300px]]</center> | ||
Revision as of 03:39, 19 September 2006
Contents
- 1 SOCR Educational Materials - Activities - SOCR Computing Probabilities Activity
- 2 Goal: Using SOCR to compute probabilities or critical values for different distribution
- 2.1 URL: http://www.SOCR.ucla.edu/htmls/SOCR_Distributions.html
- 2.2 Example: Here we use Normal distribution (mean=5, sigma=4) as an example
- 2.3 Step 1: Set up parameters! Select the Normal Distribution from the drop-down list on the top-left. Set Mean = 5 & Standard Deviation = 4. Now the density function of Normal(μ=5, σ=4) will show up in the top-right with red color. See following figure.
- 2.4 Step 2: Compute P(X<7)! Move cursor from 21, the most right side, to the right until 7. Now the red area means X<7. And the probability of red area is always represented by the value of “Between”. Hence P(X<7)=0.691431. See figure below.
SOCR Educational Materials - Activities - SOCR Computing Probabilities Activity
Goal: Using SOCR to compute probabilities or critical values for different distribution
URL: http://www.SOCR.ucla.edu/htmls/SOCR_Distributions.html
Example: Here we use Normal distribution (mean=5, sigma=4) as an example
Step 1: Set up parameters! Select the Normal Distribution from the drop-down list on the top-left. Set Mean = 5 & Standard Deviation = 4. Now the density function of Normal(μ=5, σ=4) will show up in the top-right with red color. See following figure.
Step 2: Compute P(X<7)! Move cursor from 21, the most right side, to the right until 7. Now the red area means X<7. And the probability of red area is always represented by the value of “Between”. Hence P(X<7)=0.691431. See figure below.
- To get a snapshot of this result, click on Snapshot. Then save the file with a filename and extension .jpg , for example, HW1_Image2.jpg. When done, you can open that new .jpeg file and go to edit→copy. Open separately a Word file and paste into that file. You can reduce the image, but make sure that it is big enough for us to see the numbers.
- Step 3: Compute P(X>3)! Move cursor from -11, the most right side, to the left until 3. Red area means X>3. And the probability of red area is always recorded in the value of “Between”. Therefore, P(X>3)=0.691431. See figure below. Is the result the same as in Step 2, by chance? Explain!
- Step 4: Compute P(2<X<6)! First, move cursor from -11, the most left side, to the right until 2. Then move cursor from 21, the most right side, to the left until 6. Find “Between” in the bottom-right widow, which is just the probability of red area. Then P(2<X<6)=0.372079. See attached figure.
- Similarly, we can use SOCR to compute the probability in other known distribution, such as uniform distribution, exponential distribution, beta distribution, etc.
- Step 5: Now find the critical value d, so that P(X<d)=0.456! Move the left vertical limit on the graph to the left (close to -11). Start the right limit from 11 and move it down until you reach 4.55849, monitor the “between” red area and it’s probability value (0.456). You may also experiment with setting the limits numerically using the Left and Right Cut-Off text-fields on the bottom-left of the applet. These allow more accurate vertical limit setting.
- SOCR Home page: http://www.socr.ucla.edu
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