WorkSHEET 13.3 Probability III Name:
|
|
- Darlene Lewis
- 5 years ago
- Views:
Transcription
1 WorkSHEET 3.3 Probability III Name: In the Lotto draw there are numbered balls. Find the probability that the first number drawn is: (a) a (b) a (d) even odd (e) greater than 40. Using: (a) P() = (b) P() = 22 P(even) = P = WO PO (d) 23 P(odd) = (e) 5 P(greater than 40) = = 9 2 A bag contains 3 white balls, 4 red balls, 5 black balls, 6 green balls and 7 yellow balls. A single ball is drawn from the bag. What is the probability that it is neither white nor black? Total number of marbles = = 25 Number of white or black = = P(white or black) = 25 7 Therefore, P(neither white nor black) = 25 3 Consider the following table, showing the number of cars repaired by 5 different mechanics during a day. Mechanic Cars fixed A customer returns his car because it was not repaired properly. Without knowing which mechanic worked on it, determine the probability that it was mechanic. Total number of cars repaired = = 73 Mechanic repaired cars. P(car repaired by mechanic ) = 73 John Wiley & Sons Australia, Ltd 202 Page
2 4 Consider the following table showing voter preferences in all 6 Australian states. Labor Liberal Greens QLD NSW VIC TAS SA WA Total number in the survey = 76 Greens supporters = 9 9 Relative frequency = = 354» 0.67 (about in 6 voters) Determine the relative frequency of Greens supporters. 5 Using the table in question 4, if a voter who participated in the survey is chosen at random, find the probability (as a decimal correct to 2 decimal places) that: (a) they supported the Labor party (b) they supported the Liberal party they are a Greens supporter from Victoria. 305 (a) P(Labor) = 76 = (b) P(Liberal) = 76 = P(Greens) = 76 = 0.03 John Wiley & Sons Australia, Ltd 202 Page 2
3 6 In a class of 40 students, 2 liked both fish and meat, and 6 liked neither. If there were a total of 25 who liked meat, construct a Venn Diagram of this situation. Put a 6 outside the two circles, and a 2 at the intersection. Since there were 25 who liked meat, there were 25 2 = 3 who liked meat but not fish. Put this 3 in the left circle. The remaining number is calculated from = 9 7 Two dice are rolled, and the outcome is a pair of numbers. Determine the probability that the sum of the two dice is given that their total is greater than 6. There are 36 outcomes, 2 of which have a total greater than 6. There are 5 of these outcomes which have a total of. P(total of total greater than 6) = 5 2 From a standard deck of cards, determine the probability of drawing: a) 6 b) 7 c) 6 or 7 d) club e) diamond f) club or diamond Using P = %& a) P = ( = + )* +, b) P = ( = + )* +, Using P A B = P A + P(B) c) P = + +, + + +, = * +, d) P = +, )* = + ( e) P = +, )* = + ( f) P = + ( + + ( = * ( = + * John Wiley & Sons Australia, Ltd 202 Page 3
4 9 You have to roll a die and toss a coin. What is the probability that you roll an even number and toss a head? Using: P = %& P even = 3 6 = 2 P head = 2 Use: P A B = P(A) P(B) P even head = P(even) P(head) = 2 2 = 4 0 As per Question 9. But now you have to toss the coin twice. What is the probability that you roll an even number and toss two heads? Using: P = %& P even = 3 6 = 2 P head = 2 Use: P A B = P(A) P(B) P even head = P(e) P(h) P(h) = = There are 4 Red, 5 White and 3 Blue balls in a bag. You have to draw out a ball, replace it, and then select a second. Determine the probability that you pull out a red then a blue ball. Using P = %& And P A B = P(A) P(B) P Red Blue = = 2 For two mutually exclusive events, if P A = + Using:, and P B = + calculate P A B. ) P A B = P A + P B P A B = = 5 John Wiley & Sons Australia, Ltd 202 Page 4
5 3 You draw a card from a standard deck. What is the chance it is an Ace or an even numbered card? Using: P A B = P A + P B, where P Ace = 4 52 P even card = P Ace Even = = For two independent events, if P A = +, and Using: P B = + calculate P A B. ) 5 You flip a coin and throw a die. What is the probability you toss a Head and roll an even number? P A B = P A P B P A B = 3 5 = 5 Using: P A B = P A P B, where P Head = 2 P even = 3 6 P Head Even = = 4 John Wiley & Sons Australia, Ltd 202 Page 5
Section 8.1 Distributions of Random Variables
Section 8.1 Distributions of Random Variables Random Variable A random variable is a rule that assigns a number to each outcome of a chance experiment. There are three types of random variables: 1. Finite
More informationSection 3.1 Distributions of Random Variables
Section 3.1 Distributions of Random Variables Random Variable A random variable is a rule that assigns a number to each outcome of a chance experiment. There are three types of random variables: 1. Finite
More informationFall 2015 Math 141:505 Exam 3 Form A
Fall 205 Math 4:505 Exam 3 Form A Last Name: First Name: Exam Seat #: UIN: On my honor, as an Aggie, I have neither given nor received unauthorized aid on this academic work Signature: INSTRUCTIONS Part
More informationSHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Math 131-03 Practice Questions for Exam# 2 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 1) What is the effective rate that corresponds to a nominal
More informationLecture 6 Probability
Faculty of Medicine Epidemiology and Biostatistics الوبائيات واإلحصاء الحيوي (31505204) Lecture 6 Probability By Hatim Jaber MD MPH JBCM PhD 3+4-7-2018 1 Presentation outline 3+4-7-2018 Time Introduction-
More informationDetermine whether the given events are disjoint. 1) Drawing a face card from a deck of cards and drawing a deuce A) Yes B) No
Assignment 8.-8.6 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Determine whether the given events are disjoint. 1) Drawing a face card from
More informationTest - Sections 11-13
Test - Sections 11-13 version 1 You have just been offered a job with medical benefits. In talking with the insurance salesperson you learn that the insurer uses the following probability calculations:
More informationMATH 112 Section 7.3: Understanding Chance
MATH 112 Section 7.3: Understanding Chance Prof. Jonathan Duncan Walla Walla University Autumn Quarter, 2007 Outline 1 Introduction to Probability 2 Theoretical vs. Experimental Probability 3 Advanced
More informationProbability and Sample space
Probability and Sample space We call a phenomenon random if individual outcomes are uncertain but there is a regular distribution of outcomes in a large number of repetitions. The probability of any outcome
More informationTest 3 Review. 2. What is the effective rate of interest for money invested at 10% annual interest compounded monthly?
Test 3 Review For questions 1 6, state the type of problem and calculate the answer. 1. Parents of a college student wish to set up an account that will pay $350 per month to the student for four years.
More informationProbability Distributions
4.1 Probability Distributions Random Variables A random variable x represents a numerical value associated with each outcome of a probability distribution. A random variable is discrete if it has a finite
More informationMath 235 Final Exam Practice test. Name
Math 235 Final Exam Practice test Name Use the Gauss-Jordan method to solve the system of equations. 1) x + y + z = -1 x - y + 3z = -7 4x + y + z = -7 A) (-1, -2, 2) B) (-2, 2, -1) C)(-1, 2, -2) D) No
More informationEx 1) Suppose a license plate can have any three letters followed by any four digits.
AFM Notes, Unit 1 Probability Name 1-1 FPC and Permutations Date Period ------------------------------------------------------------------------------------------------------- The Fundamental Principle
More informationExperimental Probability - probability measured by performing an experiment for a number of n trials and recording the number of outcomes
MDM 4U Probability Review Properties of Probability Experimental Probability - probability measured by performing an experiment for a number of n trials and recording the number of outcomes Theoretical
More informationSHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Shade the Venn diagram to represent the set. 1) B A 1) 2) (A B C')' 2) Determine whether the given events
More informationMULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.
Midterm Review Name 1) As part of an economics class project, students were asked to randomly select 500 New York Stock Exchange (NYSE) stocks from the Wall Street Journal. As part of the project, students
More informationCh 9 SB answers.notebook. May 06, 2014 WARM UP
WARM UP 1 9.1 TOPICS Factorial Review Counting Principle Permutations Distinguishable permutations Combinations 2 FACTORIAL REVIEW 3 Question... How many sandwiches can you make if you have 3 types of
More informationProbability (10A) Young Won Lim 5/29/17
Probability (10A) Copyright (c) 2017 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later
More informationMANAGEMENT PRINCIPLES AND STATISTICS (252 BE)
MANAGEMENT PRINCIPLES AND STATISTICS (252 BE) Normal and Binomial Distribution Applied to Construction Management Sampling and Confidence Intervals Sr Tan Liat Choon Email: tanliatchoon@gmail.com Mobile:
More informationEvent p351 An event is an outcome or a set of outcomes of a random phenomenon. That is, an event is a subset of the sample space.
Chapter 12: From randomness to probability 350 Terminology Sample space p351 The sample space of a random phenomenon is the set of all possible outcomes. Example Toss a coin. Sample space: S = {H, T} Example:
More informationTheoretical Foundations
Theoretical Foundations Probabilities Monia Ranalli monia.ranalli@uniroma2.it Ranalli M. Theoretical Foundations - Probabilities 1 / 27 Objectives understand the probability basics quantify random phenomena
More information7.1: Sets. What is a set? What is the empty set? When are two sets equal? What is set builder notation? What is the universal set?
7.1: Sets What is a set? What is the empty set? When are two sets equal? What is set builder notation? What is the universal set? Example 1: Write the elements belonging to each set. a. {x x is a natural
More informationPart 1 In which we meet the law of averages. The Law of Averages. The Expected Value & The Standard Error. Where Are We Going?
1 The Law of Averages The Expected Value & The Standard Error Where Are We Going? Sums of random numbers The law of averages Box models for generating random numbers Sums of draws: the Expected Value Standard
More informationLesson 97 - Binomial Distributions IBHL2 - SANTOWSKI
Lesson 97 - Binomial Distributions IBHL2 - SANTOWSKI Opening Exercise: Example #: (a) Use a tree diagram to answer the following: You throwing a bent coin 3 times where P(H) = / (b) THUS, find the probability
More informationOpening Exercise: Lesson 91 - Binomial Distributions IBHL2 - SANTOWSKI
08-0- Lesson 9 - Binomial Distributions IBHL - SANTOWSKI Opening Exercise: Example #: (a) Use a tree diagram to answer the following: You throwing a bent coin times where P(H) = / (b) THUS, find the probability
More information(c) The probability that a randomly selected driver having a California drivers license
Statistics Test 2 Name: KEY 1 Classify each statement as an example of classical probability, empirical probability, or subjective probability (a An executive for the Krusty-O cereal factory makes an educated
More informationLecture 3. Sample spaces, events, probability
18.440: Lecture 3 s, events, probability Scott Sheffield MIT 1 Outline Formalizing probability 2 Outline Formalizing probability 3 What does I d say there s a thirty percent chance it will rain tomorrow
More informationMath 14 Lecture Notes Ch. 4.3
4.3 The Binomial Distribution Example 1: The former Sacramento King's DeMarcus Cousins makes 77% of his free throws. If he shoots 3 times, what is the probability that he will make exactly 0, 1, 2, or
More informationAssignment 2 (Solution) Probability and Statistics
Assignment 2 (Solution) Probability and Statistics Dr. Jitesh J. Thakkar Department of Industrial and Systems Engineering Indian Institute of Technology Kharagpur Instruction Total No. of Questions: 15.
More informationexpl 1: Consider rolling two distinguishable, six-sided dice. Here is the sample space. Answer the questions that follow.
General Education Statistics Class Notes Conditional Probability (Section 5.4) What is the probability you get a sum of 5 on two dice? Now assume one die is a 4. Does that affect the probability the sum
More informationChapter 4. Probability Lecture 1 Sections: Fundamentals of Probability
Chapter 4 Probability Lecture 1 Sections: 4.1 4.2 Fundamentals of Probability In discussing probabilities, we must take into consideration three things. Event: Any result or outcome from a procedure or
More informationChapter 2: Probability
Slide 2.1 Chapter 2: Probability Probability underlies statistical inference - the drawing of conclusions from a sample of data. If samples are drawn at random, their characteristics (such as the sample
More informationSHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
Chapter 7 and Practice The actual eam is different SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. The following circle graph displas Chris and Mar Smith's
More information6.1 Binomial Theorem
Unit 6 Probability AFM Valentine 6.1 Binomial Theorem Objective: I will be able to read and evaluate binomial coefficients. I will be able to expand binomials using binomial theorem. Vocabulary Binomial
More informationMATH 446/546 Homework 1:
MATH 446/546 Homework 1: Due September 28th, 216 Please answer the following questions. Students should type there work. 1. At time t, a company has I units of inventory in stock. Customers demand the
More informationChapter 14. From Randomness to Probability. Copyright 2010 Pearson Education, Inc.
Chapter 14 From Randomness to Probability Copyright 2010 Pearson Education, Inc. Dealing with Random Phenomena A random phenomenon is a situation in which we know what outcomes could happen, but we don
More informationChapter Six Probability
Chapter Six Probability Copyright 2005 Brooks/Cole, a division of Thomson Learning, Inc. 6.1 Random Experiment a random experiment is an action or process that leads to one of several possible outcomes.
More information11-4 The Binomial Distribution
Determine whether each experiment is a binomial experiment or can be reduced to a binomial experiment. If so, describe a trial, determine the random variable, and state n, p, and q. 1. A study finds that
More informationName: Show all your work! Mathematical Concepts Joysheet 1 MAT 117, Spring 2013 D. Ivanšić
Mathematical Concepts Joysheet 1 Use your calculator to compute each expression to 6 significant digits accuracy or six decimal places, whichever is more accurate. Write down the sequence of keys you entered
More informationChapter 3: Probability Distributions and Statistics
Chapter 3: Probability Distributions and Statistics Section 3.-3.3 3. Random Variables and Histograms A is a rule that assigns precisely one real number to each outcome of an experiment. We usually denote
More information4.1 Probability Distributions
Probability and Statistics Mrs. Leahy Chapter 4: Discrete Probability Distribution ALWAYS KEEP IN MIND: The Probability of an event is ALWAYS between: and!!!! 4.1 Probability Distributions Random Variables
More informationSection 8.1 Distributions of Random Variables
Section 8.1 Distributions of Random Variables Random Variable A random variable is a rule that assigns a number to each outcome of a chance experiment. There are three types of random variables: 1. Finite
More informationMathematical Concepts Joysheet 1 MAT 117, Spring 2011 D. Ivanšić. Name: Show all your work!
Mathematical Concepts Joysheet 1 Use your calculator to compute each expression to 6 significant digits accuracy. Write down thesequence of keys youentered inorder to compute each expression. Donot roundnumbers
More informationChapter 6: Probability: What are the Chances?
+ Chapter 6: Probability: What are the Chances? Section 6.1 Randomness and Probability The Practice of Statistics, 4 th edition For AP* STARNES, YATES, MOORE + Section 6.1 Randomness and Probability Learning
More informationShifting our focus. We were studying statistics (data, displays, sampling...) The next few lectures focus on probability (randomness) Why?
Probability Introduction Shifting our focus We were studying statistics (data, displays, sampling...) The next few lectures focus on probability (randomness) Why? What is Probability? Probability is used
More informationPRACTICE PROBLEMS CHAPTERS 14 & 15
PRACTICE PROBLEMS CHAPTERS 14 & 15 Chapter 14 1. Sample spaces. For each of the following, list the sample space and tell whether you think the events are equally likely: a) Toss 2 coins; record the order
More informationTopic review : Statistical inference
Topic review : Statistical inference Short answer 1. James has heard that 1 in 10 people have been to Alice Springs. He goes to the local supermarket and asks every 10th person if they have been to Alice
More information300 total 50 left handed right handed = 250
Probability Rules 1. There are 300 students at a certain school. All students indicated they were either right handed or left handed but not both. Fifty of the students are left handed. How many students
More informationThe following content is provided under a Creative Commons license. Your support
MITOCW Recitation 6 The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To make
More informationMath 1070 Sample Exam 2 Spring 2015
University of Connecticut Department of Mathematics Math 1070 Sample Exam 2 Spring 2015 Name: Instructor Name: Section: Exam 2 will cover Sections 4.6-4.7, 5.3-5.4, 6.1-6.4, and F.1-F.4. This sample exam
More informationAFM Final Exam Review #1
AFM Final Exam Review # Name. A home security company offers a security system that uses the numbers 0 through 6, inclusive, for a -digit security code. How many different security codes are possible if
More informationExam II Math 1342 Capters 3-5 HCCS. Name
Exam II Math 1342 Capters 3-5 HCCS Name Date Provide an appropriate response. 1) A single six-sided die is rolled. Find the probability of rolling a number less than 3. A) 0.5 B) 0.1 C) 0.25 D 0.333 1)
More informationFINAL REVIEW 14! (14 2)!2!
Discrete Mathematics FINAL REVIEW Name Per. Evaluate and simplify the following completely, Show all your work. 1. 5! 2. 7! 42 3. 9!4! 3!10! 4. 24!19! 22!21! 5. 4! (7 5)! 6. 46! 45!23 7. 9 5!3! 18 2!4!
More informationMath 1324 Final Review
Math 134 Final Review 1. (Functions) Determine the domain of the following functions. a) 3 f 4 5 7 b) f f c) d) f 4 1 7 1 54 1 e) f 3 1 5 f) f e g) 1 1 f e h) f ln 5 i) f ln 3 1 j) f ln 1. (1.) Suppose
More informationAP Statistics Section 6.1 Day 1 Multiple Choice Practice. a) a random variable. b) a parameter. c) biased. d) a random sample. e) a statistic.
A Statistics Section 6.1 Day 1 ultiple Choice ractice Name: 1. A variable whose value is a numerical outcome of a random phenomenon is called a) a random variable. b) a parameter. c) biased. d) a random
More informationName: 1332 Review for Final. 1. Use the given definitions to answer the following questions. 1,2,3,4,5,6,7,8,9,10
1 Name: 1332 Review for Final 1. Use the given definitions to answer the following questions. U E A B C 1,2,3,4,5,6,7,8,9,10 x x is even 1,2,4,7,8 1,3, 4,5,8 2,4,8 D x x is a power of 2 and 2 x 10 a. Is
More information111, section 8.2 Expected Value
111, section 8.2 Expected Value notes prepared by Tim Pilachowski Do you remember how to calculate an average? The word average, however, has connotations outside of a strict mathematical definition, so
More informationWhat do you think "Binomial" involves?
Learning Goals: * Define a binomial experiment (Bernoulli Trials). * Applying the binomial formula to solve problems. * Determine the expected value of a Binomial Distribution What do you think "Binomial"
More informationMATH1215: Mathematical Thinking Sec. 08 Spring Worksheet 9: Solution. x P(x)
N. Name: MATH: Mathematical Thinking Sec. 08 Spring 0 Worksheet 9: Solution Problem Compute the expected value of this probability distribution: x 3 8 0 3 P(x) 0. 0.0 0.3 0. Clearly, a value is missing
More informationMathematical Statistics İST2011 PROBABILITY THEORY (3) DEU, DEPARTMENT OF STATISTICS MATHEMATICAL STATISTICS SUMMER SEMESTER, 2017.
Mathematical Statistics İST2011 PROBABILITY THEORY (3) 1 DEU, DEPARTMENT OF STATISTICS MATHEMATICAL STATISTICS SUMMER SEMESTER, 2017 If the five balls are places in five cell at random, find the probability
More informationName: Show all your work! Mathematical Concepts Joysheet 1 MAT 117, Spring 2012 D. Ivanšić
Mathematical Concepts Joysheet 1 Use your calculator to compute each expression to 6 significant digits accuracy. Write down thesequence of keys youentered inorder to compute each expression. Donot roundnumbers
More information1. You roll a six sided die two times. What is the probability that you do not get a three on either roll? 5/6 * 5/6 = 25/36.694
Math 107 Review for final test 1. You roll a six sided die two times. What is the probability that you do not get a three on either roll? 5/6 * 5/6 = 25/36.694 2. Consider a box with 5 blue balls, 7 red
More informationInstructor: A.E.Cary. Math 243 Exam 2
Name: Instructor: A.E.Cary Instructions: Show all your work in a manner consistent with that demonstrated in class. Round your answers where appropriate. Use 3 decimal places when rounding answers. In
More informationChapter 4 Discrete Random variables
Chapter 4 Discrete Random variables A is a variable that assumes numerical values associated with the random outcomes of an experiment, where only one numerical value is assigned to each sample point.
More informationProbability, Expected Payoffs and Expected Utility
robability, Expected ayoffs and Expected Utility In thinking about mixed strategies, we will need to make use of probabilities. We will therefore review the basic rules of probability and then derive the
More informationMathematics 12 Foundations of Mathematics
Mathematics 12 Foundations of Mathematics Page 1 General Information Page 2 Record Chart Page 3-5 Chapter 1 Outline (Page 1 3 of 14) Page 6-10 Chapter 5 Test B Textbook This course uses the textbook Foundations
More informationSimple Random Sample
Simple Random Sample A simple random sample (SRS) of size n consists of n elements from the population chosen in such a way that every set of n elements has an equal chance to be the sample actually selected.
More informationSection 8.4 The Binomial Distribution
Section 8.4 The Binomial Distribution Binomial Experiment A binomial experiment has the following properties: 1. The number of trials in the experiment is fixed. 2. There are two outcomes of each trial:
More informationMean, Median and Mode. Lecture 2 - Introduction to Probability. Where do they come from? We start with a set of 21 numbers, Statistics 102
Mean, Median and Mode Lecture 2 - Statistics 102 Colin Rundel January 15, 2013 We start with a set of 21 numbers, ## [1] -2.2-1.6-1.0-0.5-0.4-0.3-0.2 0.1 0.1 0.2 0.4 ## [12] 0.4 0.5 0.6 0.7 0.7 0.9 1.2
More informationA.REPRESENTATION OF DATA
A.REPRESENTATION OF DATA (a) GRAPHS : PART I Q: Why do we need a graph paper? Ans: You need graph paper to draw: (i) Histogram (ii) Cumulative Frequency Curve (iii) Frequency Polygon (iv) Box-and-Whisker
More information7. The random variable X is the number of cars entering the campus from 1 to 1:05 A.M. Assign probabilities according to the formula:
Operations Research Models and Methods Paul A. Jensen and Jonathan F. Bard Probability Models.S5 Exercises 1. From the daily newspaper identify five quantities that are variable in time and uncertain for
More informationSolving and Applying Proportions Name Core
Solving and Applying Proportions Name Core pg. 1 L. 4.1 Ratio and Proportion Notes Ratio- a comparison of 2 numbers by -written. a:b, a to b, or a/b. For example if there are twice as many girls in this
More informationMAT 112 Final Exam Review
MAT 2 Final Exam Review. Write the slope-intercept form of the equation of the line that passes through the points ( 2, 9) and (6, 7). Then find the x-intercept, the y-intercept, and give the y-coordinate
More informationSection M Discrete Probability Distribution
Section M Discrete Probability Distribution A random variable is a numerical measure of the outcome of a probability experiment, so its value is determined by chance. Random variables are typically denoted
More informationChapter 6 Section 1 Day s.notebook. April 29, Honors Statistics. Aug 23-8:26 PM. 3. Review OTL C6#2. Aug 23-8:31 PM
Honors Statistics Aug 23-8:26 PM 3. Review OTL C6#2 Aug 23-8:31 PM 1 Apr 27-9:20 AM Jan 18-2:13 PM 2 Nov 27-10:28 PM 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 6.9 6.10 6.11 6.12 Nov 27-9:53 PM 3 Ask about 1 and
More informationStat 20: Intro to Probability and Statistics
Stat 20: Intro to Probability and Statistics Lecture 13: Binomial Formula Tessa L. Childers-Day UC Berkeley 14 July 2014 By the end of this lecture... You will be able to: Calculate the ways an event can
More informationProbability Distribution
Probability Distribution CK-12 Say Thanks to the Authors Click http://www.ck12.org/saythanks (No sign in required) To access a customizable version of this book, as well as other interactive content, visit
More informationStamp Duty on Transfers of Land
Stamp Duty on Transfers of Land New South Wales NON-FIRST HOME BUYER - STAMP DUTY PAYABLE - NSW $0 - $14,000 $1.25 for every $100 or part of the dutiable value $14,001 - $30,000 $175 plus $1.50 for every
More informationChapter 4 Discrete Random variables
Chapter 4 Discrete Random variables A is a variable that assumes numerical values associated with the random outcomes of an experiment, where only one numerical value is assigned to each sample point.
More informationMath 160 Professor Busken Chapter 5 Worksheets
Math 160 Professor Busken Chapter 5 Worksheets Name: 1. Find the expected value. Suppose you play a Pick 4 Lotto where you pay 50 to select a sequence of four digits, such as 2118. If you select the same
More informationChapter 6: Random Variables. Ch. 6-3: Binomial and Geometric Random Variables
Chapter : Random Variables Ch. -3: Binomial and Geometric Random Variables X 0 2 3 4 5 7 8 9 0 0 P(X) 3???????? 4 4 When the same chance process is repeated several times, we are often interested in whether
More informationCHAPTER 10: Introducing Probability
CHAPTER 10: Introducing Probability The Basic Practice of Statistics 6 th Edition Moore / Notz / Fligner Lecture PowerPoint Slides Chapter 10 Concepts 2 The Idea of Probability Probability Models Probability
More informationRandom variables. Discrete random variables. Continuous random variables.
Random variables Discrete random variables. Continuous random variables. Discrete random variables. Denote a discrete random variable with X: It is a variable that takes values with some probability. Examples:
More informationII - Probability. Counting Techniques. three rules of counting. 1multiplication rules. 2permutations. 3combinations
II - Probability Counting Techniques three rules of counting 1multiplication rules 2permutations 3combinations Section 2 - Probability (1) II - Probability Counting Techniques 1multiplication rules In
More informationUnit 2: Probability and distributions Lecture 1: Probability and conditional probability
Unit 2: Probability and distributions Lecture 1: Probability and conditional probability Statistics 101 Thomas Leininger May 21, 2013 Announcements 1 Announcements 2 Probability Randomness Defining probability
More information***SECTION 8.1*** The Binomial Distributions
***SECTION 8.1*** The Binomial Distributions CHAPTER 8 ~ The Binomial and Geometric Distributions In practice, we frequently encounter random phenomenon where there are two outcomes of interest. For example,
More informationMutually Exclusive Events & Non-Mutually Exclusive Events. When two events A and B are mutually exclusive, the probability that A or B will occur is
EVENTS & PROBABILITIES RULES PROBABILITY RULES Mutually Exclusive Events & Non-Mutually Exclusive Events Two events are mutually exclusive if they cannot occur at the same time (they have no outcomes in
More informationProbability: Week 4. Kwonsang Lee. University of Pennsylvania February 13, 2015
Probability: Week 4 Kwonsang Lee University of Pennsylvania kwonlee@wharton.upenn.edu February 13, 2015 Kwonsang Lee STAT111 February 13, 2015 1 / 21 Probability Sample space S: the set of all possible
More informationPaper 3 Household Segmentation Model
Zenith Model Recalibration and Validation Version 3.0.1 Paper 3 Household Segmentation Model May 2014 Public Transport Victoria Page Intentionally Left Blank Paper 3 Household Segmentation Model Draft
More informationPractice Final Exam, Math 1031
Practice Final Exam, Math 1031 1 2 3 4 5 6 Last Name: First Name: ID: Section: Math 1031 December, 2004 There are 22 multiple machine graded questions and 6 write-out problems. NO GRAPHIC CALCULATORS are
More information12 Math Chapter Review April 16 th, Multiple Choice Identify the choice that best completes the statement or answers the question.
Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Which situation does not describe a discrete random variable? A The number of cell phones per household.
More information6 If and then. (a) 0.6 (b) 0.9 (c) 2 (d) Which of these numbers can be a value of probability distribution of a discrete random variable
1. A number between 0 and 1 that is use to measure uncertainty is called: (a) Random variable (b) Trial (c) Simple event (d) Probability 2. Probability can be expressed as: (a) Rational (b) Fraction (c)
More informationMathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: Distribution Distribute in anyway but normal
Distribution Distribute in anyway but normal VI. DISTRIBUTION A probability distribution is a mathematical function that provides the probabilities of occurrence of all distinct outcomes in the sample
More information4.2: Theoretical Probability - SOLUTIONS
Group Activity 4.: Theoretical Probability - SOLUTIONS Coin Toss. In the video we looked at the theoretical probabilities for flipping a quarter, dime and nickel. Now we will do a class experiment to find
More informationPanchakshari s Professional Academy CS Foundation: Statistic Practice Sheet
1. When mean is 3.57 and mode is 2.13 then the value of median is 3.09 5.01 4.01 d) 3.05 2. Frequency curve is a limiting form of Frequency polygon Histogram Both ( and ( 3. Tally marks determined Class
More informationSHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.
MATH 1324 Review for Test 4 November 2016 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Prepare a probability distribution for the experiment. Let x
More informationProbability and Statistics. Copyright Cengage Learning. All rights reserved.
Probability and Statistics Copyright Cengage Learning. All rights reserved. 14.3 Binomial Probability Copyright Cengage Learning. All rights reserved. Objectives Binomial Probability The Binomial Distribution
More informationFinite Math Departmental Review Fall 2014
Finite Math Departmental Review Fall 2014 The only materials allowed for use during the final exam will be a pen or pencil, a TI 82, 83 or 84 calculator, a copy of the departmental formula sheet, and a
More informationStudy Guide. Solving Proportions
5 Study Guide Pages 88 93 Solving Proportions An equation stating that two ratios are equal is called a proportion. 8 For example, 3 is a proportion. Use the Property of Proportions and other algebraic
More informationSeventh Grade Spiraling Review Week 1 of Fifth Six Weeks
Week of Fifth Six Weeks Note: Record all work in your math journal. Day An aquarium is 30 inches long, 7 inches wide and 8 inches tall. The aquarium is filled with water to a level of inches. A cubic foot
More information