1. Section 8.1.1 Binomial Distributions
AP Statistics

2. The Binomial Setting
Each observation falls into one of just two categories, which for convenience we call “success” or “failure”
There are a fixed number n of observations
The n observations are all independent.
The probability of success, call it p, is the same for each observation.
AP Statistics, Section 8.1.1

3. The Binomial Setting: Example
Each observation falls into one of just two categories, which for convenience we call “success” or “failure”: Basketball player at the free throw.
There are a fixed number n of observations: The player is given 5 tries.
The n observations are all independent: When the player makes (or misses) it does not change the probability of making the next shot.
The probability of success, call it p, is the same for each observation: The player has an 85% chance of making the shot; p=.85
AP Statistics, Section 8.1.1

4. Shorthand
Normal distributions can be described using the N(µ,σ) notation; for example, N(65.5,2.5) is a normal distribution with mean 65.5 and standard deviation 2.5.
Binomial distributions can be described using the B(n,p) notation; for example, B(5, .85) describes a binomial distribution with 5 trials and .85 probability of success for each trial.
AP Statistics, Section 8.1.1

5. Example
Blood type is inherited. If both parents carry genes for the O and A blood types, each child has probability 0.25 of getting two O genes and so of having blood type O. Different children inherit independently of each other. The number of O blood types among 5 children of these parents is the count X off successes in 5 independent observations.
How would you describe this with “B” notation?
X=B(5,.25)
AP Statistics, Section 8.1.1

6. Example
Deal 10 cards from a shuffled deck and count the number X of red cards. These 10 observations, and each gives either a red or a black card. A “success” is a red card.
How would you describe this using “B” notation?
This is not a Binomial distribution because once you pull one card out, the probabilities change.
AP Statistics, Section 8.1.1

7. Binomial Coefficient Sometimes referred to as “n choose k”
For example: “I have 10 students in a class. I need to choose 2 of them.”
In these examples, order is not important.
AP Statistics, Section 8.1.1

8. Binomial Coefficients on the Calculator
AP Statistics, Section 8.1.1

9. Binomial Probabilities
AP Statistics, Section 8.1.1

10. Binomial Mean
AP Statistics, Section 8.1.1

11. AP Statistics, Section 8.1.1

12. AP Statistics, Section 8.1.1

13. AP Statistics, Section 8.1.1

14. Binomial Distributions on the calculator
Binomial Probabilities
B(n,p) with k successes
binompdf(n,p,k)
Corinne makes 75% of her free throws.
What is the probability of making exactly 7 of 12 free throws.
binompdf(12,.75,7)=.1032
AP Statistics, Section 8.1.2

15. Binomial Distributions on the calculator
Binomial Probabilities
B(n,p) with k successes
binomcdf(n,p,k)
Corinne makes 75% of her free throws.
What is the probability of making at most 7 of 12 free throws.
binomcdf(12,.75,7)=.1576
AP Statistics, Section 8.1.2

16. Binomial Distributions on the calculator
Binomial Probabilities
B(n,p) with k successes
binomcdf(n,p,k)
Corinne makes 75% of her free throws.
What is the probability of making at least 7 of 12 free throws.
1-binomcdf(12,.75,6)=
AP Statistics, Section 8.1.2

17. Binomial Simulations Corinne makes 75% of her free throws.
Simulate shooting 12 free throws.
randBin(n,p) will do one simulation
randBin(n,p,t) will do t simulations
AP Statistics, Section 8.1.2

18. Normal Approximation of Binomial Distribution
Remember
AP Statistics, Section 8.1.2

19. Normal Approximation of Binomial Distribution
As the number of trials n gets larger, the binomial distribution gets close to a normal distribution.
Question: What value of n is big enough? The book does not say, so let’s see how the close two calculations are…
AP Statistics, Section 8.1.2

20. Example:
A recent survey asked a nationwide random sample of 2500 adults if they agreed or disagreed that “I like buying new clothes, but shopping is often frustrating and time-consuming.” Suppose that in fact 60% of all adults would “agree”. What is the probability that 1520 or more of the sample “agree”.
AP Statistics, Section 8.1.2

21. TI-83 calculator B(2500,.6) and P(X>1520) 1-binomcdf(2500,.6,1519)
AP Statistics, Section 8.1.2