Ch 17 Summary

You should know what a Bernoulli Trial is, and when doing a problem check for these  conditions (that means write out how you know it meets these conditions)

• There are two possible outcomes 
• The probability of success is constant
• The trials are independent (you can use the 10% condition if they are not truly independent)

You should know when to use a Geometric Probability model, geom(p).

• For a random variable that counts the number of Bernoulli Trials until the first success

You should know when to use a Binomial model, binom(n,p)

• For a random variable that counts the number of success in a fixed number of Bernoulli Trials. 

You should know about the success failure Condition

• For a Normal model to be a good approximation of a Binomial model, we must expect at least 10 success, and at least 10 failures. np>=10, and nq>= 10

Calculator skills

• geometpdf(p,x) returns the probability of an individual outcome
• geometcdf(p,x) returns the cumulative probability from 0 to x. Use for at least or at most problems.
• binompdf(n,p,X) returns the probability of an individual outcome
• binomcdf(n,p,X) returns the cumulative probability from 0 to X. Use this in At least situations, or at most situations.