1. 6.3 – Additional Properties of the Binomial Distribution
Graphing a Binomial Distribution
How to graph a binomial distribution:
Place r values on the horizontal axis.
Place P(r) values on the vertical axis.
Construct a bar over each r value extending from r to r The height of the corresponding bar is P(r).

2. Example
Rachel enjoys playing basketball. She makes about 80% of her free throws each game. Make a histogram showing the probability that Rachel will make 0, 1, 2, 3, 4, 5 free throws out of 5 attempts in tonight's game.

3. Mean and Standard Deviation of a Binomial Distribution
How to compute µ and ơ for a binomial distribution.
µ = np is the expected number of successes for the random variable r
ơ = 𝒏𝒑𝒒 is the standard deviation for the random variable r
where:
r is a random variable representing the number of successes in a binomial distribution,
n is the number of trials,
p is the probability of success on a single trial,
q = 1 - p is the probability of failure on a single trial

4. Guided Exercise #7 As whole group, turn to page 233 Cover answers
Whole group clarification

5. Checkpoint Make a histogram for a Binomial Distribution
Compute mean and standard deviation for a Binomial Distribution.

6. Homework Read Pages 230-234 Do Problems Get Ready for Test
Take notes on what we have not covered
Do Problems
Page (1-10) odds
Check odds in back of book
Get Ready for Test
Chapter Review Problems
Notes/vocab