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Chapter 17 Part 2
Binomial Model
Combinations
The number of ways we can have k successes in
n trials is called a combination.
𝑛
𝑛!
π‘œπ‘Ÿ 𝑛 πΆπ‘˜ =
π‘˜
π‘˜! 𝑛 βˆ’ π‘˜ !
Combinations
Example: How many ways can I choose two
students from a class of 30 to be class
representatives?
30
π‘œπ‘Ÿ
2
30!
= 435
30 𝐢2 =
2! 30 βˆ’ 2 !
Combinations
On the calculator:
Type 30, MATH, PRB, nCr, 2, ENTER
30 β†’ 𝑀𝐴𝑇𝐻 β†’ 𝑃𝑅𝐡 β†’ π‘›πΆπ‘Ÿ β†’ 2
= 435
Binomial Model
If we want to know the probability of exactly k successes in n
Bernoulli trials, we use the Binomial Model:
p = probability of success
q = probability of failure
𝑛 π‘˜ π‘›βˆ’π‘˜
𝑝 π‘ž
π‘˜
Binomial Model
π‘šπ‘’π‘Žπ‘› πœ‡ = 𝑛𝑝
π‘ π‘‘π‘Žπ‘›π‘‘π‘Žπ‘Ÿπ‘‘ π‘‘π‘’π‘£π‘–π‘Žπ‘‘π‘–π‘œπ‘› 𝜎 =
π‘›π‘π‘ž
Example:
Suppose 20 donors come to a blood drive and that 6% of
people are universal donors (type O-negative). What is the
probability that there are 2 universal donors present?
20
2
18
𝑃 𝑋=2 =
(.06) (.94) = 0.2246
2
Example:
Suppose 20 donors come to a blood drive and that 6%
of people are universal donors (type O-negative).
What is the mean and standard deviation of number
of universal donors?
πœ‡ = 𝑛𝑝 = 20 .06 = 1.2
𝜎 = π‘›π‘π‘ž =
20 .06 (.94) = 1.06
Normal Model
When the numbers are just too big, we can use
the Normal model.
Example: What is the probability of getting at
least 1850 units of O-negative blood from 32,000
donors?
It is extremely difficult to find P(X=1850) +
P(X=1851) + P(X=1852) + … to infinity.
Normal Model
Example: What is the probability of getting at
least 1850 units of O-negative blood from 32,000
donors?
Recall that p = 0.06
πœ‡ = 32000 .06 = 1920
𝜎=
32000 .06 (.94) = 42.28
Normal Model
Example: What is the probability of getting at
least 1850 units of O-negative blood from 32,000
donors?
Now find the z-score
1850 βˆ’ 1920
𝑧=
= βˆ’1.65
42.28
Normal Model
Example: What is the probability of getting at
least 1850 units of O-negative blood from 32,000
donors?
Now use z-table to find P(z > -1.65)
𝑃 𝑧 > βˆ’1.65 = 1 βˆ’ 0.05 = 0.95
Normal Model
Success/Failure Condition
In order to use the Normal model for a
binomial distribution, we must check that
two things are true:
npβ‰₯ 10 and nqβ‰₯ 10
Normal Model
Success/Failure Condition
From the last example, p=0.06, q=0.94,
and n=32,000
32000(.06) β‰₯ 10 and 32000(.94) β‰₯ 10
Tip:
Use the Normal model to answer questions
asking for β€œat least” if numbers are large.
Use the complement rule to answer
questions asking for β€œat least” if numbers
are small.
TI Shortcut:
2nd β†’ 𝐷𝐼𝑆𝑇𝑅 β†’ π‘π‘–π‘›π‘œπ‘šπ‘π‘‘π‘“ 𝑛, 𝑝, 𝑋
2𝑛𝑑 β†’ 𝐷𝐼𝑆𝑇𝑅 β†’ π‘”π‘’π‘œπ‘šπ‘’π‘‘π‘π‘‘π‘“(𝑝, 𝑋)
Example:
What is the probability of finding at least
7360 cars in the state that are a Saturn?
Use Normal model
What is the probability of getting at least 3
blue M&M’s in a bag?
Use 1-P(X=1 or 2)
Assume that 13% of people are left-handed. If
we select 5 people at random, find the
probability that:
a) There are at least 3 lefties in the group
b) There are no more than 3 lefties in the group
Assume that 13% of people are left-handed. If
we select 5 people at random, find the
probability that:
a) P(X=3)+P(X=4)+P(X=5) =0.0179
or 1-[P(X=1)+P(X=2)]
b) P(X=0)+P(X=1)+P(X=2)+P(X=3) =0.9987
or 1-[P(X=4)+P(X=5)]
Assume that 13% of people are left-handed.
Suppose we choose 12 at random.
a)Find the mean and standard deviation of the
number of right-handers in the group.
b)What’s the probability that there are exactly 6
lefties and 6 righties?
c)What’s the probability that the majority is
right-handed?
Assume that 13% of people are left-handed.
Suppose we choose 12 at random.
a) np=12(0.87) = 10.44; SD= 12 .87 (.13) = 1.16
b)P(X=6)=0.00193
c)P(X>6)=P(7)+P(8)+…+P(12) = 0.998
Today’s Assignment:
 All Chapter 17 Homework due
Friday
 Unit 4 test Tuesday