1. The Binomial Distribution
Bernoulli Process
Repeated, independent trials
Two outcomes: “Success” and “Failure”
Invariant probability of success: 
The random variable is the number of successes in n trials

2. The binomial formula for the probability of x successes in n trials:
EXAMPLE: Find the probability of 4 successes in 12 trials if  = 0.32.

3. Example: 12% of the switches in a large shipment are defective
Example: 12% of the switches in a large shipment are defective. In a sample of 15 switches, what is the probability that
Exactly three are defective
At least two are defective
Example: 20% of the memory chips in a production run are defective. In a sample of 16 chips, what is the probability that
Exactly four are defective
Five or more are defective

4. The Binomial Tables Page 887 and ff. Table A1: individual values
Table A2: cumulative values, P(x  k)