Difference between revisions of "SOCR Courses 2012 2013 Stat13 1 Lab3"
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==== Problem 2 ==== | ==== Problem 2 ==== | ||
− | For X | + | For X ~ Binomial(250; 0.65), use [http://socr.ucla.edu/htmls/dist/Binomial_Distribution.html SOCR Distributions] to compute: |
* P(X = 146) | * P(X = 146) | ||
− | * P(X >= | + | * P(X >= 146) |
− | * P( | + | * P(153 < X < 178) |
==== Problem 3 ==== | ==== Problem 3 ==== | ||
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Plot the following distributions and take SNAPSHOTS of those denoted by (*): | Plot the following distributions and take SNAPSHOTS of those denoted by (*): | ||
:Group A | :Group A | ||
− | * | + | * X ~ Bin(8; 0.2) (*) |
− | * | + | * X ~ Bin(15; 0.2) |
− | + | *X~ Bin(25; 0.2) | |
− | + | *X~ Bin(55; 0.2) | |
− | + | *X~ Bin(95; 0.2) (*) | |
:Group B | :Group B | ||
− | * | + | *X~ Bin(30; 0.05) (*) |
− | + | *X~ Bin(30; 0.2) | |
− | + | *X~ Bin(30; 0.5) (*) | |
− | + | *X~ Bin(30; 0.9) (*) | |
− | + | *X~ Bin(95; 1) | |
==== Problem 5 ==== | ==== Problem 5 ==== | ||
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* Describe how the distribution changes as the number of trials increases. | * Describe how the distribution changes as the number of trials increases. | ||
* Describe how the distribution changes as the probability of success changes. | * Describe how the distribution changes as the probability of success changes. | ||
− | * Write a few 'rules of thumbs' to help you remember the | + | * Write a few 'rules of thumbs' to help you remember the effects of changing n and p. |
<hr> | <hr> |
Latest revision as of 12:00, 22 April 2013
Contents
Stats 13.1 - Laboratory Activity 3
The binomial distribution is a probability distribution which is used to model the probability of obtaining k successes out of n total trials when we have exactly two, disjoint, possible outcomes, trials are independent and the probability of the outcomes is stable/constant.
You can access the applet for any of the SOCR distributions and select the Binomial Distribution calculator.
Binomial Distribution Activity
Problem 1
Suppose X ~ Binomial(10, 0.5) compute by hand:
- P(X = 7)
- E(X)
- SD(X)
Problem 2
For X ~ Binomial(250; 0.65), use SOCR Distributions to compute:
- P(X = 146)
- P(X >= 146)
- P(153 < X < 178)
Problem 3
For X ~ Bin(32; 0.81), simplify the equations by hand and then use SOCR to compute.
- P(X >= 24 \(\cap \) X < 20)
- P(X >= 24 \(\cup \) X < 20)
- P(X > 23 \(\cup \) X < 30)
Problem 4
Plot the following distributions and take SNAPSHOTS of those denoted by (*):
- Group A
- X ~ Bin(8; 0.2) (*)
- X ~ Bin(15; 0.2)
- X~ Bin(25; 0.2)
- X~ Bin(55; 0.2)
- X~ Bin(95; 0.2) (*)
- Group B
- X~ Bin(30; 0.05) (*)
- X~ Bin(30; 0.2)
- X~ Bin(30; 0.5) (*)
- X~ Bin(30; 0.9) (*)
- X~ Bin(95; 1)
Problem 5
Use your snapshots from question 4 to answer the following questions:
- Describe how the distribution changes as the number of trials increases.
- Describe how the distribution changes as the probability of success changes.
- Write a few 'rules of thumbs' to help you remember the effects of changing n and p.
- SOCR Home page: http://www.socr.ucla.edu
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