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Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

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Example: P(rolling an even number) Event: Rolling an even number on a number cube. Sample Space (possible outcomes): 1, 2, 3, 4, 5, 6 Favorable Outcome: 2, 4, 6

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Page 1: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Section 4 – 5Applying Ratios to

Probability

Objectives:To find theoretical probabilityTo find experimental probability

Page 2: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Probability of an Event: P(event)

Tells you how likely it is that something will occur

Event:Any outcome or group of outcomes

Outcome:The result of a single trial, like one roll of a number cube

Same Space:All of the possible outcomes

Page 3: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Example: P(rolling an even number)

Event: Rolling an even number on a number cube.

Sample Space (possible outcomes): 1, 2, 3, 4, 5, 6

Favorable Outcome: 2, 4, 6

Page 4: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Theoretical Probability:

P(event) =

When all possible outcomes are equally likely to occur, you can find the theoretical probability using the following formula:

Page 5: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

The probability of an event can be written as a fraction, decimal

or percent.

Page 6: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Example 1 Finding Theoretical Probability

A) What is the probability of flipping a coin and getting a tail.

B) What is the probability of rolling a 1 or 6 on a die?

Page 7: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

C) What is the probability of spinning purple?

D) What is the probability of spinning white or green?

Page 8: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

E) A bowl contains 12 slips of paper, each with a different name of a month. Find the theoretical probability that a slip selected from the bowl has a name of a month that starts with the letter J.

F) Suppose you write the names of days of the week on identical pieces of paper. Find the theoretical probability of picking a piece of paper at random that has the name of a day that starts with the letter T.

Page 9: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Complement of an event:

All of the outcomes NOT in the event.

The probability of an event and its complement add up to 1!

Page 10: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

C) What is the probability of spinning purple?

D) What is the probability of spinning white or green?D) What is the probability of NOT spinning purple?

Page 11: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Example 2 Finding the Complement of an EventA) Find the probability of NOT flipping a coin and getting a tail.

B) What is the probability of NOT rolling a 1 or 6 on a die?

Page 12: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

C) On a popular television game show, a contestant must choose one of five envelopes. One envelope contains the grand prize, a car. Find the probability of NOT choosing the car.

D) You decide to buy 50/50 tickets at the football game on Saturday. If 50 people buy 10 tickets each, what is the probability that they will not pick your ticket?

What happens to the P(not picking your ticket) if the number of tickets bought

increases?

Page 13: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Experimental Probability:

Probability based on data collected from repeated trials.

Experimental Probability:

P(event) =

Page 14: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

How Does Experimental Probability & Theoretical

Probability Compare?

The more times an experiment is done, the closer the experimental probability gets to the theoretical probability. We call this the

Law of Large Numbers.

Page 15: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

A) After receiving complaints, a skateboard manufacturer inspected 1000 skateboarders at random. The manufacturer found no defects in 992 skateboards. What is the probability that a skateboard selected at random had no defect?

Example 3 Finding Experimental Probability

Page 16: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

B) The skateboard manufacturer decides to inspect 2500 skateboards. There are 2450 skateboards that have no defects. Find the probability that a skateboard selected at random has no defects.

Page 17: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

Example 4 Using Experimental Probability A) A manufacturer has 8976 skateboards in its warehouse. If the probability that a skateboard has no defect is 99.2%, predict how many skateboards are likely to have no defect.

Page 18: Section 4 – 5 Applying Ratios to Probability Objectives: To find theoretical probability To find experimental probability

B) A manufacturer has 8976 skateboards in its warehouse. If the probability that a skateboard has no defect is 81%, predict how many skateboards are likely to have defects.