Journal: 1)Suppose you guessed on a multiple choice question (4 answers). What was the chance that you marked the correct answer? Explain. 2)What is the.

Slides:

Advertisements

Similar presentations

AP STATISTICS Simulation “Statistics means never having to say you're certain.”

Advertisements

Chapter 5.3: Simulation. Random  We call a phenomenon RANDOM if individual outcomes are uncertain but there is nonetheless a regular distribution of.

AP STATISTICS Simulating Experiments. Steps for simulation Simulation: The imitation of chance behavior, based on a model that accurately reflects the.

COUNTING AND PROBABILITY

AP Statistics Section 6.2 A Probability Models

1 Review What is probability Use Models How are Punnett squares used to predict the outcomes of genetic crosses 2 Review What is independent assortment.

3.6: Probabilities Through Simulations Objective: To simulate probabilities using random number tables and random number generators CHS Statistics.

Probability and Sampling: Part I. What are the odds? What are the odds of finding a newspaper at the news stand? New York times Village Voice Jerusalem.

Section 6.2 ~ Basics of Probability Introduction to Probability and Statistics Ms. Young.

Probability Objectives When you have competed it you should * know what a ‘sample space’ is * know the difference between an ‘outcome’ and an ‘event’.

A multiple-choice test consists of 8 questions

An outcome is a possible result An event is a specific outcome Random means all outcomes are equally likely to occur or happen. random = fair A favorable.

Chapter 4 Probability See.

3.1 & 3.2: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.

CONFIDENTIAL 1 Algebra1 Experimental Probability.

Theoretical and Experimental Probability Today you will learn to: calculate the theoretical and experimental probabilities of an event. M07.D-S.3.1.1:

© 2010 Pearson Education, Inc. All rights reserved Chapter 9 9 Probability.

Probability True or False? Answers.

Binomial Probability Distribution

AP STATISTICS LESSON SIMULATING EXPERIMENTS.

Chapter 9 Review. 1. Give the probability of each outcome.

1.4 Equally Likely Outcomes. The outcomes of a sample space are called equally likely if all of them have the same chance of occurrence. It is very difficult.

EXAMPLE 1 Independent and Dependent Events Tell whether the events are independent or dependent. SOLUTION You randomly draw a number from a bag. Then you.

FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG FORM : 4 DEDIKASI PRESENTED BY : GROUP 11 KOSM, GOLDCOURSE HOTEL, KLANG.

Probability and Punnett Squares Genetics and Probability The likelihood that a particular event will occur is called probability.probability As.

Probability and Punnett Squares. Tossing Coins If you toss a coin, what is the probability of getting heads? Tails? If you toss a coin 10 times, how many.

Mendel Carefully Accumulated Data And Realized That The Principles Of Probability Could Be Used To Explain The Results.

POSC 202A: Lecture 4 Probability. We begin with the basics of probability and then move on to expected value. Understanding probability is important because.

4.3a Simulating Experiments Target Goal: I can use simulation to represent an experiment. In class FR.

Sec. 5.3: SIMULATING EXPERIMENTS C HAPTER 5: P RODUCING D ATA.

Simulation. Simulation  Simulation imitation of chance behavior based on a model that accurately reflects the phenomenon under consideration  By observing.

Simulation. Simulation is a way to model random events, such that simulated outcomes closely match real-world outcomes. By observing simulated outcomes,

What is the probability of two or more independent events occurring?

Probability Distributions and Expected Value

Section 5.3 Independence and the Multiplication Rule.

A Family A had five children – Patricia – Mary – Susan – Helen – Kathleen – What were the chances of the next baby being a boy?

Probability. Probability… is the likelihood (chance) that an event will happen. percentagefraction is expressed as a percentage or fraction. Everyday.

Unit 6 Probability & Simulation: the Study of randomness Simulation Probability Models General Probability Rules.

Segregation of gametes Genes are on chromosomes.

Mean, Median, Mode, & Range Mean- the sum of the data divided by the number of data items Median-the middle value when the data are arranged in NUMERICAL.

Section 6.3 Day 1 Binomial Distributions. A Gaggle of Girls Let’s use simulation to find the probability that a couple who has three children has all.

Probability Test Review (What are your chances of passing?)

PROBABILITY bability/basicprobability/preview.we ml.

AP STATISTICS LESSON AP STATISTICS LESSON PROBABILITY MODELS.

Gregor Mendel.  Inheritance  An individual’s characteristics are determined by factors that are passed from one parental generation to the next.  The.

Probability What do you think probability means? ◦Write down a definition based on what you already know ◦Use the word probability in a sentence.

Foothill High School Science Department Intro To Genetics Probability & Punnett Squares.

Copyright © 2009 Pearson Education, Inc.

Today is Tuesday.

II. Probability and Punnett Squares

11.2 Applying Mendel’s Principles

Probability & Heredity

A ratio that measures the chance that an event will happen

Minds on! If you choose an answer to this question at random, what is the probability you will be correct? A) 25% B) 50% C) 100% D) 25%

4.5 – Finding Probability Using Tree Diagrams and Outcome Tables

9. Relative frequency and probability

Probability Today you will need …… Orange Books Calculator Pen Ruler

Experimental probability

PROBABILITY The probability of an event is a value that describes the chance or likelihood that the event will happen or that the event will end with.

Chapter 17 Thinking about Chance.

1.) 3/4 = x/96 2.) x/(x + 4) = 2/x Bellwork 4/11

Chapter 11: Intro to Genetics

Probability Probability measures the likelihood of an event occurring.

Segregation of gametes

Probability By Mya Vaughan.

CAHSEE PREP. Week 2 Statistics, Data Analysis, Probability

I flip a coin two times. What is the sample space?

11-2 Probability and Punnett Squares

11-2 Probability & Punnett Squares

Presentation transcript:

Journal: 1)Suppose you guessed on a multiple choice question (4 answers). What was the chance that you marked the correct answer? Explain. 2)What is the chance (in %) to randomly choose a student in this class that would be a girl? A boy? Explain

We study genetics in order to: A. Understand how existing individuals developed. B. To make predictions regarding the next, yet unborn generations. For this we need to understand Principles of Probability and Ratio

Principles of Probability Probability – the likelihood that a particular event will occur, expressed in percentage. It predicts the estimated, average number, not the exact number of occurrences.

Ratio: The proportion between specific outcomes. Divide the probabilities by the smallest one: Consider two possible occurrences: * If there is a 75% chance for one, and 25% for the other, then the ratio between them is:75:25 = 3:1 ratio * If there is 50% chance for both: 50:50 = 1:1 ratio.

1) Probability = Number of selected events Number of all possible events For example: The chances for a coin to fall on heads is: No. of selected events No. of all possible events = 1 2 = 50%

The chances for a dice to fall on an even number is: = 3 6 = 50%

The chances for two coins to land on heads: = 1 4 =25%

2) Probability of two (or more) independent events is the product of their individual probabilities: The chances for two coins to land on heads: ==25% 1 4 X= X Three coins to land on heads: ?

A. Calculate the chances to get the following occurrences: 1) Coin lands on heads twice in a row (HH). 2) Two coins landing on same side (T or H) twice. 3) At least one of the two coins lands on heads. 4) First coin-heads, second coin- any.

C. Compare: Calculated vs. Measured H: HH: Same side twice: At least one H: Calc. Measured 50% 20 = 50 =

B. Try it with coins! Copy the following data table: HT Tally (20 throws): HHTTHTTH Tally (50 throws): One coin: Two Coins: Throw the coins and count!

D. In Conclusion: 1) Did you get the exact numbers you predicted by calculations? Describe. 2) Were the calculations any close to the actual result? 3) What can be done in an experiment to get closer to the predicted probability?