# SOCR Courses 2012 2013 Stat13 1 Lab3

(Difference between revisions)
 Revision as of 14:38, 22 April 2013 (view source)IvoDinov (Talk | contribs) (→Problem 2)← Older edit Current revision as of 16:54, 22 April 2013 (view source)IvoDinov (Talk | contribs) (→Problem 2) Line 16: Line 16: For X ~ Binomial(250; 0.65), use [http://socr.ucla.edu/htmls/dist/Binomial_Distribution.html SOCR Distributions] to compute: 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 >=237) + * P(X >= 146) - * P(39 < X < 127) + * P(153 < X < 178) ==== Problem 3 ==== ==== Problem 3 ====

## 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)