Advanced Precalculus Advanced Precalculus Notes 12.3

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Transcript Advanced Precalculus Advanced Precalculus Notes 12.3

Advanced Precalculus Advanced Precalculus Notes 12.3 Probability

Probability model: 1. Sample space: set whose elements represent all the possible outcomes of an experiment.

2. The measure of how likely it is that some event will occur; a number expressing the ratio of favorable cases to the whole number of cases possible.

i n

  1

P

(

event i

) 

P

(

event

1 ) 

P

(

event

2 ) 

P

(

event

3 )    

P

(

event n

)  1

In a bag of M&Ms, the candies are red, green, blue, brown, yellow, and orange. Therefore, the sample space is: { red, green, blue, brown, yellow, orange} Which of the following are probability models:

Outcome

Red Green Blue Brown Yellow orange

Probability

.3

.15

0 .15

.2

.2

Outcome

Red Green Blue Brown Yellow orange .4

.2

.3

Probability

.1

.1

.1

Outcome

Red Green Blue Brown Yellow orange .4

.2

.2

Probability

.3

-.3

.2

Outcome

Red Green Blue Brown Yellow orange 0 1 0 0 0

Probability

0

An experiment consists of a rolling a fair die once. Construct a probability model for this experiment. a) List the sample space.

b) List the probability of each outcome.

c) Find the probability of each outcome if only 3 or 4 could occur and 4 is twice as likely as 3.

An experiment consists of tossing a coin. The coin is weighted so that heads (H) is three times as likely to occur as tails (T). Construct a probability model for this experiment.

a) List the sample space.

b) List the probability of each outcome.

P(E) = Number of ways that E can occur Number of all logical possibilities

P

(

E

) 

n

(

E

)

n

(

S

)

Calculate the probability that in a 3-child family there are 2 boys and 1 girl. Assume equally likely outcomes.

Consider the experiment of rolling a single fair die. Let E represent the event “roll an odd number,” and let F represent the event “roll a 1 or 2.” a) Write the even E and F.

c) Compute P(E) and P(F).

e) Compute

P

(

E

F

) b) Write the event E or F.

d) Compute

P

(

E

F

)

Addition Rule: =

P

(

E

F

) 

P

(

E

) 

P

(

F

) 

P

(

E

F

) If P(E) = 0.2, P(F) = 0.3, and = 0.1, find the probability of E or B. ie:

P

(

E

F

)

Mutually Exclusive Events:

P

(

E

F

) 

P

(

E

) 

P

(

F

) If P(E) = 0.4, and P(F) = 0.25, and E and F are mutually exclusive, find

P

(

E

F

)

Computing Probabilities of Complementary Events:

P

(

E

)  1 

P

(

E

) On the local news the weather reporter stated that the probability of rain tomorrow is 40%. What is the probability that it will not rain?

What is the probability that in a group of 10 people at least 2 people have the same birthday? Assume that there are 365 days in a year.

Assignment: page 901: 1 – 7, 9, 11, 13, 17, 19, 23, 27, 31, 37, 41, 45, 51, 57, 66, 69