MAT 1000 Mathematics in Today's World. Last Time We talked about computing probabilities when all of the outcomes of a random phenomenon are “equally.

Slides:



Advertisements
Similar presentations
Probability Topic 5: Probabilities Using Counting Methods.
Advertisements

CS1022 Computer Programming & Principles
Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen, but we don’t know which particular outcome.
Probability Three basic types of probability: Probability as counting
Probability and Statistics
Activity 1 Activity 2 Index Student Activity 1: Tossing a coin Student Activity 2: Tossing two coins.
Mathematics in Today's World
The Geometric Distributions Section Starter Fred Funk hits his tee shots straight most of the time. In fact, last year he put 78% of his.
Horse race © Horse race: rules 1.Each player chooses a horse and puts it into a stall. Write your name next to the.
CISC 1100 Counting and Probability. Counting is Based on Straightforward Rules Are countable items combined using the terms such as AND or OR? Are countable.
Probability And Expected Value ————————————
Basics of Probability. Trial or Experiment Experiment - a process that results in a particular outcome or “event”. Simple event (or sample point), E i.
Warm-Up Complete in notes.
Mathematics in Today's World
6-7 Permutations & Combinations M11.E.3.2.1: Determine the number of permutations and/or combinations or apply the fundamental counting principle.
4. Counting 4.1 The Basic of Counting Basic Counting Principles Example 1 suppose that either a member of the faculty or a student in the department is.
EXIT NEXT Click one of the buttons below or press the enter key BACKTOPICSProbability Mayeen Uddin Khandaker Mayeen Uddin Khandaker Ph.D. Student Ph.D.
3.1 & 3.2: Fundamentals of Probability Objective: To understand and apply the basic probability rules and theorems CHS Statistics.
Chapter 8: Probability: The Mathematics of Chance Lesson Plan Probability Models and Rules Discrete Probability Models Equally Likely Outcomes Continuous.
The Practice of Statistics
Understanding Randomness
Sec 4.4 Counting Rules Bluman, Chapter 4 A Question to Ponder:  A box contains 3 red chips, 2 blue chips and 5 green chips. A chip is selected, replaced.
Warm Up If Babe Ruth has a 57% chance of hitting a home run every time he is at bat, run a simulation to find out his chances of hitting a homerun at least.
Warm Up Which of the following are combinations?
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.
MAT 1000 Mathematics in Today's World. Last Time.
Chapter 8: Probability: The Mathematics of Chance Lesson Plan Probability Models and Rules Discrete Probability Models Equally Likely Outcomes Continuous.
Spring 2016 COMP 2300 Discrete Structures for Computation Donghyun (David) Kim Department of Mathematics and Physics North Carolina Central University.
HAWKES LEARNING Students Count. Success Matters. Copyright © 2015 by Hawkes Learning/Quant Systems, Inc. All rights reserved. Section 7.2 Counting Our.
Probability What are the chances of that happening?
Chapter 8: Probability: The Mathematics of Chance Lesson Plan Probability Models and Rules Discrete Probability Models Equally Likely Outcomes Continuous.
Special Topics. Calculating Outcomes for Equally Likely Events If a random phenomenon has equally likely outcomes, then the probability of event A is:
EXIT NEXT Click one of the buttons below or press the enter key BACKTOPICSEXIT NEXT Click one of the buttons below or press the enter key BACKTOPICS.
Add 2 three digit numbers Balance addition equations Add 3 numbers of 3,2, 1 digits Add 4 digit numbers Complete addition equations.
PROBABILITY bability/basicprobability/preview.we ml.
SECTION 5.4 COUNTING. Objectives 1. Count the number of ways a sequence of operations can be performed 2. Count the number of permutations 3. Count the.
Holt Geometry 3-1 Lines and Angles S-CP.B.9Use permutations and combinations to compute probabilities of compound events and solve problems.
13 Lesson 1 Let Me Count the Ways Fundamental Counting Principle, Permutations & Combinations CP Probability and Statistics FA 2014 S-ID.1S-CP.3S-CP.5.
Who can win more gold medals?
Warm Up Which of the following are combinations?
This weeks.
Bring a penny to class tomorrow
How much should I invest?
Apply the Counting Principle and Permutations
Probability ·  fraction that tells how likely something is to happen ·   the relative frequency that an event will occur.
Who can win more gold medals?
Who can win more gold medals?
Who can win more gold medals?
The Counting Principle
Mutually Exclusive and Inclusive Events
Apply the Counting Principle and Permutations
Who can win more gold medals?
Who can win more gold medals?
Probability And Expected Value ————————————
Who can win more gold medals?
Who can win more gold medals?
Who can win more gold medals?
Warm Up Which of the following are combinations?
Who can win more gold medals?
Who can win more gold medals?
Probability. ·. fraction that tells. how likely something. `
Probability And Expected Value ————————————
Eleanor M. Savko 2/24/2019 Probability Review.
Who can win more gold medals?
Investigation 3 Making decisions with Probability
Mathematics Unit 35: Reaction Time
Who can win more gold medals?
Who can win more gold medals?
Who can win more gold medals?
Who can win more gold medals?
Presentation transcript:

MAT 1000 Mathematics in Today's World

Last Time We talked about computing probabilities when all of the outcomes of a random phenomenon are “equally likely” We also looked at a way to experimentally determine probabilities using “simulations”

Today When all outcomes are equally likely, finding probabilities only requires counting. We will learn methods to count even when there are more outcomes then we could write down in a list.

Counting

Equally likely outcomes All that these formulas require is counting. For example, if I want to know the probability of any of the outcomes from rolling two dice, it’s enough to know that there are 36. I don’t need to list them all. This is especially useful when there are too many outcomes to list.

Formulas for counting

In this case the number turns out to be small enough to count without a formula. Our “event” is getting a PIN all of whose digits are the same. For example 1111, or How many such four- digit PINs are there? There are ten. The digits could all be any one of the ten digits 0, 1, …, 9.

Formulas for counting

Formulas for counting Here’s a different counting problem: how many four-digit PINs are there if we are not allowed to repeat digits? In other words a PIN like 1234 is allowed, but not a PIN like 2452 or 7674, where a digit is repeated. We already know that the number of such PINs must be less than 10,000, but how many are there? We can use the fundamental principle of counting.

Formulas for counting We are “choosing” four digits. How many choices are there for the first? There are 10 choices. What about the second? Now, we don’t have 10 choices—we can’t repeat the first digit. Suppose the first digit was 7. If we pick 7 for the second digit, we’ve repeated ourselves. So the second digit can be any number except 7. Then how many choice are there? There are 9 choices—anything except our first digit.

Formulas for counting So we have 10 choices for the first digit and 9 for the second. How many choices are there for the third? We have already picked two digits, and we can’t reuse either of those. So we only have 8 choices. We want a four-digit PIN, so we need to pick one more number. Since it can’t be the same as the first, second, or third choice we’ve made, we’ve only got 7 options.

Formulas for counting

Counting

How many outcomes are in the event? In other words, how many PINs are there where no digits are repeated and the first digit is 1? We have to count. Unlike earlier, we don’t have four spaces to fill. ___ ___ because we know what goes in the first space…

Counting How many outcomes are in the event? In other words, how many PINs are there where no digits are repeated and the first digit is 1? We have to count. Unlike earlier, we don’t have four spaces to fill. _1_ ___ ___ ___ because we know what goes in the first space… … a 1.

Counting So we only have three spaces to fill. How many choices do we have for the first space? Even though there are 10 digits, remember that the first digit must be a 1, and we aren’t allowed to repeat. So we only have 9 choices. How about for the second digit? There are 8 choices.

Counting

Suppose 10 runners are competing in a race. The winner gets a gold medal, second place gets a silver medal, and third place gets a bronze medal. How many different arrangements of gold, silver, bronze are possible? Here we are “filling” three “spaces” ______ ______ _______ gold silver bronze How many possible gold medal winners are there? 10. Once we know who wins the gold, we’ve only got 9 choices for silver, and then 8 for the bronze.

Counting

If I was one of the runners, I might like to try and find the probability of getting a medal. This is really three “events” 1.I get the gold medal 2.I get the silver medal 3.I get the bronze medal These events are disjoint (I can’t win more than one medal), so to find the probability of any one of these three events occurring, I can add the probabilities of each.

Counting Let’s count the number of possible arrangements in which I am the gold medal winner. __Me___ ______ _______ gold silver bronze There are 9 runners other than me, and we can put any one of them in the silver medal spot. That leaves 8 choices for the bronze medal spot. So there are 72 arrangements in which I am the gold medal winner

Counting

Summary