Empirical Probability. The accuracy of empirical probability depends on the number of trials. The Law of Large Numbers says that the more times an experiment.

Slides:



Advertisements
Similar presentations
Chapter 2 Probability. 2.1 Sample Spaces and Events.
Advertisements

Randomness and Probability
Probability Chapter 11 1.
Questions, comments, concerns? Ok to move on? Vocab  Trial- number of times an experiment is repeated  Outcomes- different results possible  Frequency-
Probability Sample Space Diagrams.
8.7 Probability. Ex 1 Find the sample space for each of the following. One coin is tossed. Two coins are tossed. Three coins are tossed.
Section 5.1 Constructing Models of Random Behavior.
1.When rolling two dice, what is probability that your sum will be 4 or 5? 2.When rolling two dice, what is the probability that your sum will be an even.
Thinking Mathematically
Section 16.1: Basic Principles of Probability
Bell Work A card is drawn at random from the cards shown and not replaced. Then, a second card is drawn at random. Find each probability. 1. P(two even.
Experimental Probability of Simple Events
Chapter 4 Probability See.
Statistical Reasoning for everyday life Intro to Probability and Statistics Mr. Spering – Room 113.
5.1 Basic Probability Ideas
Probability: Simple and Compound Independent and Dependent Experimental and Theoretical.
AP STATISTICS Section 6.2 Probability Models. Objective: To be able to understand and apply the rules for probability. Random: refers to the type of order.
Warm-Up 1. What is Benford’s Law?
Notes on PROBABILITY What is Probability? Probability is a number from 0 to 1 that tells you how likely something is to happen. Probability can be either.
Each time an experiment such as one toss of a coin, one roll of a dice, one spin on a spinner etc. is performed, the result is called an ___________.
Algebra 2 Mr. Gallo 11-2:Probability. Terms to Know Probability – is the ratio of the number of _______________________ to the ___________ number of possible.
Chapter 7 Probability. 7.1 The Nature of Probability.
Probability Introduction Examples Key words Practice questions Venn diagrams.
PROBABILITY.
7th Probability You can do this! .
Probability – the likelihood that an event will occur. Probability is usually expressed as a real number from 0 to 1. The probability of an impossible.
The Addition Rule TUTORIAL Summary To find the probability of event A or B, we must first determine whether the events are mutually exclusive.
Adding Probabilites 0.5. Probability: the likelihood the event will occur. must be a # between 0 and 1 Certain to occur: probability of 1 Cannot occur:
Definitions Probability is the mathematics of chance. It tells us the relative frequency with which we can expect an event to occur The greater the probability.
Review Homework pages Example: Counting the number of heads in 10 coin tosses. 2.2/
Math I.  Probability is the chance that something will happen.  Probability is most often expressed as a fraction, a decimal, a percent, or can also.
Math I.  Probability is the chance that something will happen.  Probability is most often expressed as a fraction, a decimal, a percent, or can also.
Probability Basics Section Starter Roll two dice and record the sum shown. Repeat until you have done 20 rolls. Write a list of all the possible.
Probability Trash-ball
MULTIPLICATION RULES FOR PROBABILITY INDEPENDENT AND DEPENDENT EVENTS.
Probability Rules.  P and 44  P ,48,51  P ,57,60.
Claim 1 Smarter Balanced Sample Items Grade 7 - Target I
Chapter 12 Section 1 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Unit 7: Probability Prof. Carolyn Dupee July 3, 2012.
Probability Unit Sample Spaces Means Extremes Probability Independent or Dependent? All Together Now!
Independent Events The occurrence (or non- occurrence) of one event does not change the probability that the other event will occur.
Conditional Probability and the Multiplication Rule NOTES Coach Bridges.
§2 Frequency and probability 2.1The definitions and properties of frequency and properties.
MTH 232 Section 14.1 The Basics of Probability. Overview Probability is the mathematics of uncertainty, in which the likelihood that a chance event occurs.
STATISTICS 6.0 Conditional Probabilities “Conditional Probabilities”
250 trials 350 trials Probability: Relative Frequency An estimate of the probability of an event happening can be obtained by looking back at experimental.
Independent and Dependent Events Lesson 6.6. Getting Started… You roll one die and then flip one coin. What is the probability of : P(3, tails) = 2. P(less.
1. A sample space consists of 18 separate events that are equally likely. What is the probability of each? A) 0 C) 1 B) 1 D)
Probability. Definitions Probability: The chance of an event occurring. Probability Experiments: A process that leads to well- defined results called.
Chapter 10 PROBABILITY. Probability Terminology  Experiment: take a measurement Like flipping a coin  Outcome: one possible result of an experiment.
Conditional Probability 423/what-is-your-favorite-data-analysis-cartoon 1.
11-2 Basic Probability.
Copyright © 2016, 2013, and 2010, Pearson Education, Inc.
C.3 Section WHAT IS PROBABILITY?
= Basic Probability Notes Basics of Probability Probability
Probability of Multiple Events
Definitions: Random Phenomenon:
True False True False True False Starter – True or False
= 4.802−1.3= 2.09(2.8)= Bell Work 8.84÷3.4= − 3 4 = Cronnelly.
Register.
Section 6.2 Probability Models
11-2 Basic Probability.
Bell Work Cronnelly.
Unit 6: Application of Probability
Section 3.3: The Addition Rule
Claim 1 Smarter Balanced Sample Items Grade 7 - Target I
Mutually Exclusive Events
An Introduction To Probability
Thursday 05/16 Warm Up 200 people were surveyed about ice cream preferences. 78 people said they prefer chocolate. 65 people said they prefer strawberry.
Presentation transcript:

Empirical Probability

The accuracy of empirical probability depends on the number of trials. The Law of Large Numbers says that the more times an experiment is performed, the more accurately the probability can be used as a predictor.

2004 9th Grade 32) A spinner was spun 20 times. The results are shown in the table below. Which color on the spinner has the same experimental probability as theoretical probability? A Red BWhite C Blue DYellow The answer is B

Circular Model Find the empirical probability of hitting the shaded area of the circle.

Circular Model, cont. Use the given measurements on the circle to mathematically calculate the area of the whole circle. …the area of the shaded sector of the circle.

Find the ratio of the area of the shaded sector of the circle to the area of the whole circle. Which type of probability does this represent, empirical or theoretical?

2006 Summer Exit 16) A total of 550 students from the Fairfield High School junior class voted on their choice for their senior class gift to the school. The table below shows the results of the vote. Which graph best represents the results of the survey? Answer is F

2004 Summer Exit 28) Marcos has a spinner with 12 equal sections colored either blue or red. If the spinner lands on blue on 33 out of 50 spins, which is most likely the number of blue sections on the spinner? A4 B 6 C8 D 10 The answer is C

MedcoMeds tested a new cholesterol medicine that was meant to lower levels of bad cholesterol. The medication was given to 500 individuals with the following results: Cholesterol lowered Cholesterol increased Cholesterol stayed the same a. Why is this considered empirical probability? b. Find P (lowered cholesterol levels). c. Find P (increased cholesterol levels). d. Find P (cholesterol levels stayed the same). e. How could the approximation of the probability be improved? Why would this be important in this situation?

Mind map

JAW BREAKERS VENN DIAGRAM The following represents a bin that contains 75 jaw breakers in the colors red, blue, and green. Consider one jaw breaker selected from the bin. Mutually exclusive events.

SOMETHING SMELLS A LITTLE FISHY VENN DIAGRAM Certain species of fish in the coastal areas can be found only in salt water, others only in fresh water, and others in both or brackish water. A total of 100 fish was taken as a sample representation for a coastal area. Fish were taken from the Nueces River (fresh water), Nueces Bay (brackish water), and Corpus Christi Bay (salt water). Consider one random fish from a coastal area. Not mutually exclusive

Mutually Exclusive for Events Addition Rule P(A or B) = P(A) + P(B)

For Events That Are Not Mutually Exclusive Addition Rule P(A or B) = P(A) + P(B) – P(A and B) Example :

Multiplication Rule P(A and B) = P(A) ● P(B) P(5 on the die and heads on a coin)

Conditional Probability P(A|B) Probability that A will occur given that B has already occurred P(of drawing a two then a three from the deck of cards)

Study a deck of 52 playing cards. Find the probability of drawing a card that is a queen given each of the following conditions. Cards will not be replaced after the first draw. a. P(Queen) b. P(Queen |the card is a face card) c. P(Queen |Queen was not drawn on first draw) d. P(Queen |Queen was drawn on first draw)