# SOCR Courses 2012 2013 Stat13 1 Lab3

### From Socr

(→Problem 4) |
(→Problem 2) |
||

(3 intermediate revisions not shown) | |||

Line 14: | Line 14: | ||

==== 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 ==== | ||

Line 28: | Line 28: | ||

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 | + | * X ~ Bin(8; 0.2) (*) |

- | * X ~ Bin(15; 0 | + | * X ~ Bin(15; 0.2) |

- | *X~ Bin(25; 0 | + | *X~ Bin(25; 0.2) |

- | *X~ Bin(55; 0 | + | *X~ Bin(55; 0.2) |

- | *X~ Bin(95; 0 | + | *X~ Bin(95; 0.2) (*) |

:Group B | :Group B | ||

- | *X~ Bin(30; 0 | + | *X~ Bin(30; 0.05) (*) |

- | *X~ Bin(30; 0 | + | *X~ Bin(30; 0.2) |

- | *X~ Bin(30; 0 | + | *X~ Bin(30; 0.5) (*) |

- | *X~ Bin(30; 0 | + | *X~ Bin(30; 0.9) (*) |

*X~ Bin(95; 1) | *X~ Bin(95; 1) | ||

Line 44: | Line 44: | ||

* 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> |

## Current revision as of 16:54, 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

Translate this page: