t heoretical p robability lesson 16. warm up name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x...

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THEORETICAL PROBABILITY Lesson 16

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Page 1: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

THEORETICAL PROBABILITYLesson 16

Page 2: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

WARM UP

Name the property illustrated. 3 + 0 = 3

2 + -2 = 0

2(x + 5) = 2x + 10

2 + (3 + 5) = (2 + 3) + 5

Page 3: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

WARM UP- SOLUTIONS

Name the property illustrated. 3 + 0 = 3

Identity 2 + -2 = 0

Inverse 2(x + 5) = 2x + 10

Distributive Property 2 + (3 + 5) = (2 + 3) + 5

Associative Property

Page 4: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

WHAT IS PROBABILITY?

The probability of an outcome is a ratio of

It is the likelihood of an event happening.

Examples The probability of rolling a 2 on a die is 1/6 The probability of a heads is ½ The probability of drawing a king from a standard deck

is 4/52 = 1/13

number of ways the desired outcome can occur the total number of possible outcomes.

Page 5: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 1

Kylee wrote the names of the months of the year on slips of paper and put them in a box. If she picks out one slip, find the following probabilities. P(picking a month that has exactly 4 letters)

P(picking a month that begins with a vowel)

P(picking a month that has at least 3 letters)

Page 6: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 1- SOLUTIONS P(picking a month that has exactly 4

letters)There are 2 months that have 4 letters:June, July

2/12 = 1/6 P(picking a month that begins with a

vowel)There are that 3 months that start with

a vowel: April, August, October3/12 = 1/4 P(picking a month that has at least 3

letters)All of the months have at least 3

letters 12/12 = 1

January February March April May June July August September October November December

Page 7: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 2

Patrick has a bag of m&ms. It contains 8 blue, 15 green, 3 orange and 12 red. Patrick will pick a candy out of the bag without looking. Find each probability. P(green)

P(brown)

P(orange or green)

Page 8: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 2- SOLUTIONS Patrick has a bag of m&ms. It contains 8

blue, 15 green, 3 orange and 12 red. Patrick will pick a candy out of the bag without looking. Find each probability. P(green)There are 38 total candies, 15 are green.P(green) = 15/38 P(brown)There are no brown candies. P(brown) = 0/38 = 0 P(orange or green) 3 + 15 = 18 18/38 = 9/19

Page 9: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 3

Patrick has a bag of m&ms. It contains 8 blue, 15 green, 3 orange and 12 red. Patrick will pick a candy out of the bag without looking.

Which color is he most likely to pick from the bag?

Which color is he least likely to pick from the bag?

Page 10: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 3- SOLUTIONS

Patrick has a bag of m&ms. It contains 8 blue, 15 green, 3 orange and 12 red. Patrick will pick a candy out of the bag without looking.

Which color is he most likely to pick from the bag?Since there are more green than any other color,

green is the most likely color to occur.

Which color is he least likely to pick from the bag? Since there are only 3 orange, and more of every

other color, orange is least likely to occur.

Page 11: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

INDEPENDENT VS DEPENDENT EVENTS

Independent events do not effect each other. Events “with replacement”, such as drawing a

card and placing it back in the deck. Rolling dice (a 3 on the first roll has no effect on

the second roll). Dependent events effect each other.

Events “without replacement”, such as dealing cards.

Choosing students to be on a team.

Page 12: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

COMBINED PROBABILITIES

When you want to find the probability of more than one event at a time, multiply each individual probability together. Examples:

Find the probability of rolling a 3 followed by a 2.Each of these events are independent. The probability of

rolling a 3 is 1/6, the probability of tolling a 2 is 1/6 so the probability of one followed by the next is:

(1/6)(1/6)= 1/36

Find the probability of drawing a king followed by an ace.These events are dependent. The probability of drawing a

king is 4/52. Once the king is drawn there are only 51 cards left, so the probability of an ace is 4/51. The probability of both is

(4/52)(4/51) = 16/2652 = 4/663

Page 13: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 4

Determine if the following events are independent or dependent.

Then find the probability There are 6 questions on a multiple choice test.

Each question has 4 answer choices. What is the probability of a person guessing all of them correctly?

There are 6 questions on a matching test with exactly one answer paired with each question. What is the probability that a person who guesses on all five questions will answer them all correctly?

Page 14: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 4- SOLUTIONS

Determine if the following events are independent or dependent.

Then find the probability There are 6 questions on a multiple choice test.

Each question has 4 answer choices. What is the probability of a person guessing all of them correctly?

Each guess is independent. Getting one right does not effect the chances of getting the next one right.

1

4

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Page 15: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 4- SOLUTIONS

Determine if the following events are independent or dependent.

Then find the probability There are 6 questions on a matching test with

exactly one answer paired with each question. What is the probability that a person who guesses on all five questions will answer them all correctly?

These events are not independent. Once you get the first question right there are only 5 more to choose from.

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720

Page 16: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 5

There are 25 students in a class. 12 of them are girls and 13 are boys. If all of their names are placed in a hat, what is the probability that a girl will be drawn first followed by a boy?

What is the probability that 2 boys names will be drawn?

Page 17: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 5- SOLUTION

There are 25 students in a class. 12 of them are girls and 13 are boys. If all of their names are placed in a hat, what is the probability that a girl will be drawn first followed by a boy?

These are dependent events.

What is the probability that 2 boys names will be drawn?

These are dependent events.€

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Page 18: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 6

The spinner is spun once. What is the probability that the

number spun is divisible by 3?

What is the probability that the number spun is less that 5?

What is the probability that the number spun is even or a 5?

Page 19: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 6- SOLUTIONS

The spinner is spun once. What is the probability that the

number spun is divisible by 3?

3 and 6 are divisible by 32/8 = 1/4

What is the probability that the number spun is less that 5?

1,2,3,4 are less than 54/8 = 1/2

What is the probability that the number spun is even or a 5?

2,4,6,8,5 5/8

There are 8 values on the spinner, each one is the same size so they each have the same probability of occurring: 1/8

Page 20: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

FUNDAMENTAL COUNTING PRINCIPLE

A pizza shop wants to see how many outcomes can be made with the following options.

Crust: pan, thin. Cheese: mozzarella, Parmesan; Toppings: Pepper, Ham, Sausage

How many different pizzas can be made choosing 1 crust, 1 cheese and 1 topping. 2 crust x 2 cheese x 3 toppings = 12 possible

outcomes

Tree diagrams can be used to show the outcome set of a situation.

Page 21: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 7

The first 3 questions on a history test are true/false. Make a tree diagram to show how many different ways the 3 questions can be answered. (use T for true and F for false )

Page 22: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 7- SOLUTION

The first 3 questions on a history test are true/false. Make a tree diagram to show how many different ways the 3 questions can be answered.

**Notice there are 2 x 2 x 2 = 8 ways that the 3 questions can be answered

Page 23: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 8

A coin is tossed up in the air 4 times. Makes a tree diagram to show how many different ways all 4 tosses can land. (Use H for heads and T for tails.)

Page 24: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 8- SOLUTION

A coin is tossed up in the air 4 times. Makes a tree diagram to show how many different ways all 4 tosses can land.

Page 25: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 9

Using the digits 0-9, how many different 4 digit numbers are possible? (Repetition of digits is allowed.)

Page 26: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 9- SOLUTION

Using the digits 0-9, how many different 4 digit numbers are possible? (Repetition of digits is allowed.)

(10)(10)(10)(10) = 10000

Page 27: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 10

Using the digits 0-9, how many different 4 digit numbers are possible if the first digit cannot be zero? (Repetition of digits is allowed.)

Page 28: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 10- SOLUTION

Using the digits 0-9, how many different 4 digit numbers are possible if the first digit cannot be zero? (Repetition of digits is allowed.)

(9)(10)(10)(10) = 9000

Page 29: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 11

The Math Club has 12 girls, 8 boys, and 4 adults chaperones going on a field trip. How many different groups of 1 girl, 1 boy, and 1 adult are there?

Page 30: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 11- SOLUTION

The Math Club has 12 girls, 8 boys, and 4 adults chaperones going on a field trip. How many different groups of 1 girl, 1 boy, and 1 adult are there?

(12)(8)(4) = 384

Page 31: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 12

Arizona license plates consist of 3 digits followed by 3 letters. How many different license are possible? (Repetition of digits and letters are allowed.) Set up, but do not multiply out.

Page 32: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 12- SOLUTION

Arizona license plates consist of 3 digits followed by 3 letters. How many different license are possible? (Repetition of digits and letters are allowed.) Set up, but do not multiply out.

(10)(10)(10)(26)(26)(26)

Page 33: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 13

A particular shirt comes in 2 colors, 2 styles, and 4 sizes. The following table shows all the choices.

How many different shirts are possible?

Color Style Size

Black Crew neck Small

Gold V-neck Medium

Large

X-Large

Page 34: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 13- SOLUTION A particular shirt comes in 2 colors, 2 styles, and 4 sizes. The following table shows all the choices.

How many different shirts are possible?

(2)(2)(4) = 16 different shirts

Color Style Size

Black Crew neck Small

Gold V-neck Medium

Large

X-Large

Page 35: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 14 A meal at a certain restaurant includes one type of meat, potato, and vegetable. The following table show all the choices.

How many meals are possible?

Main Side Vegetable

Beef Baked Potato Peas

Fish Scalloped Carrots

French Fries

Page 36: T HEORETICAL P ROBABILITY Lesson 16. WARM UP Name the property illustrated. 3 + 0 = 3 2 + -2 = 0 2(x + 5) = 2x + 10 2 + (3 + 5) = (2 + 3) + 5

EXAMPLE 14- SOLUTION A meal at a certain restaurant includes one type of meat, potato, and vegetable. The following table show all the choices.

How many meals are possible?

(2)(3)(2) = 12 different meals

Main Side Vegetable

Beef Baked Potato Peas

Fish Scalloped Carrots

French Fries