This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: O blood. 2. Binomial Distribution Suppose X ~ B(n,p). The possible values can be taken by X is 0, 1, 2, …, n. Then what is P(X=k), k=0, 1, …, n ? Two methods to find P(X=k), k=0,1,…,n. (1). Using Minitab. (2). Using Table (for 2 ≤ n ≤ 20). (3)Using formula Example 2: Rolling a fair die 10 times. Let X = # of 6. Then X ~ B(10, 1/6). Find P(X=k), k=0,1,2,3,4,5,6,7,8,9,10, and P(X≤ 4) Example 3 ( Example 5.2 continued, p.336 ): Consider (c). Find P(X=k),k=0,1,2,3,4,5, and P(X>3). Example4(example5.5) 3. Mean and Standard Deviation of the Binomial Distribution Proof: Example 4: Rolling a fair die 10 times. Let X = # of 6. Compute the mean and the standard deviation. Example 5 (Example 5.2 continued, p.336) : Consider (c). Compute the mean and the standard deviation. If time? Do Exercise 5.2, 5.12. HW:5.1, 5.3, 5.5, 5.6, 5.13,...
View
Full
Document
This note was uploaded on 07/25/2008 for the course STT 421 taught by Professor Nane during the Summer '08 term at Michigan State University.
 Summer '08
 NANE

Click to edit the document details