MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Similar documents
4.3 Rules of Probability

4.1 Sample Spaces and Events

6) A) both; happy B) neither; not happy C) one; happy D) one; not happy

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

FALL 2012 MATH 1324 REVIEW EXAM 4

Chapter 8: Probability: The Mathematics of Chance

TEST A CHAPTER 11, PROBABILITY

Name: 1. Match the word with the definition (1 point each - no partial credit!)

7.1 Experiments, Sample Spaces, and Events

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE

Classical vs. Empirical Probability Activity

Section 7.1 Experiments, Sample Spaces, and Events

Unit 9: Probability Assignments

Probability. Ms. Weinstein Probability & Statistics

S = {(1, 1), (1, 2),, (6, 6)}

Unit 19 Probability Review

Basic Concepts of Probability and Counting Section 3.1

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. C) 1 6

MATH CALCULUS & STATISTICS/BUSN - PRACTICE EXAM #1 - SPRING DR. DAVID BRIDGE

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Name (Place your name here and on the Scantron form.)

Chapter 1: Sets and Probability

Name Date. Sample Spaces and Probability For use with Exploration 12.1

0-5 Adding Probabilities. 1. CARNIVAL GAMES A spinner has sections of equal size. The table shows the results of several spins.

Such a description is the basis for a probability model. Here is the basic vocabulary we use.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Math 1313 Section 6.2 Definition of Probability

Algebra 2 P49 Pre 10 1 Measures of Central Tendency Box and Whisker Plots Variation and Outliers

10-8 Probability of Compound Events

Section 6.1 #16. Question: What is the probability that a five-card poker hand contains a flush, that is, five cards of the same suit?

Key Concepts. Theoretical Probability. Terminology. Lesson 11-1

Exam III Review Problems

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

I. WHAT IS PROBABILITY?

7.1 Chance Surprises, 7.2 Predicting the Future in an Uncertain World, 7.4 Down for the Count

North Seattle Community College Winter ELEMENTARY STATISTICS 2617 MATH Section 05, Practice Questions for Test 2 Chapter 3 and 4

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Developed by Rashmi Kathuria. She can be reached at

Probability Simulation User s Manual

The Coin Toss Experiment

Name: Probability, Part 1 March 4, 2013

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

Objective: Determine empirical probability based on specific sample data. (AA21)

Grade 6 Math Circles Fall Oct 14/15 Probability

If a regular six-sided die is rolled, the possible outcomes can be listed as {1, 2, 3, 4, 5, 6} there are 6 outcomes.

Probability. The Bag Model

Chapter 1. Probability

Probability. Sometimes we know that an event cannot happen, for example, we cannot fly to the sun. We say the event is impossible

If a fair coin is tossed 10 times, what will we see? 24.61% 20.51% 20.51% 11.72% 11.72% 4.39% 4.39% 0.98% 0.98% 0.098% 0.098%

Chapter 1 - Set Theory

Conditional Probability Worksheet

Probability Essential Math 12 Mr. Morin

SECONDARY 2 Honors ~ Lesson 9.2 Worksheet Intro to Probability

Mutually Exclusive Events Algebra 1

PROBABILITY Case of cards

the total number of possible outcomes = 1 2 Example 2

Chapter 1. Probability

Section 5.4 Permutations and Combinations

If a fair coin is tossed 10 times, what will we see? 24.61% 20.51% 20.51% 11.72% 11.72% 4.39% 4.39% 0.98% 0.98% 0.098% 0.098%

b) Find the exact probability of seeing both heads and tails in three tosses of a fair coin. (Theoretical Probability)

Chapter-wise questions. Probability. 1. Two coins are tossed simultaneously. Find the probability of getting exactly one tail.

Section 5.4 Permutations and Combinations

More Probability: Poker Hands and some issues in Counting

Outcomes: The outcomes of this experiment are yellow, blue, red and green.

13-6 Probabilities of Mutually Exclusive Events

Simple Probability. Arthur White. 28th September 2016

a) 2, 4, 8, 14, 22, b) 1, 5, 6, 10, 11, c) 3, 9, 21, 39, 63, d) 3, 0, 6, 15, 27, e) 3, 8, 13, 18, 23,

UNIT 4 APPLICATIONS OF PROBABILITY Lesson 1: Events. Instruction. Guided Practice Example 1

Intermediate Math Circles November 1, 2017 Probability I

Conditional Probability Worksheet

INDEPENDENT AND DEPENDENT EVENTS UNIT 6: PROBABILITY DAY 2

Unit 6: Probability. Marius Ionescu 10/06/2011. Marius Ionescu () Unit 6: Probability 10/06/ / 22

Discrete probability and the laws of chance

STATISTICS and PROBABILITY GRADE 6

Algebra 2 Notes Section 10.1: Apply the Counting Principle and Permutations

1. Determine whether the following experiments are binomial.

Unit 6: Probability. Marius Ionescu 10/06/2011. Marius Ionescu () Unit 6: Probability 10/06/ / 22

Math 1 Unit 4 Mid-Unit Review Chances of Winning

Normal Distribution Lecture Notes Continued

Define and Diagram Outcomes (Subsets) of the Sample Space (Universal Set)

Compound Events. Identify events as simple or compound.

3.6 Theoretical and Experimental Coin Tosses

Probability Models. Section 6.2

Foundations to Algebra In Class: Investigating Probability

AP Statistics Ch In-Class Practice (Probability)

Name: Class: Date: 6. An event occurs, on average, every 6 out of 17 times during a simulation. The experimental probability of this event is 11

Unit 11 Probability. Round 1 Round 2 Round 3 Round 4

A. 15 B. 24 C. 45 D. 54

3 The multiplication rule/miscellaneous counting problems

PRE TEST. Math in a Cultural Context*

1. An office building contains 27 floors and has 37 offices on each floor. How many offices are in the building?

Question of the Day. Key Concepts. Vocabulary. Mathematical Ideas. QuestionofDay

PROBABILITY. 1. Introduction. Candidates should able to:

MAT104: Fundamentals of Mathematics II Counting Techniques Class Exercises Solutions

\\\v?i. EXERCISES Activity a. Determine the complement of event A in the roll-a-die experiment.

Probability. Probabilty Impossibe Unlikely Equally Likely Likely Certain

When a number cube is rolled once, the possible numbers that could show face up are

Use Venn diagrams to determine whether the following statements are equal for all sets A and B. 2) A' B', A B Answer: not equal

Name: Section: Date:

Transcription:

6.1 Practice Problems Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Answer the question. 1) The probability of rolling an even number on a die is 1 2. Does this probability mean that, if you 1) roll the die two times, one even number will appear? If not, what does it mean? A) No, a probability of 1 2 tells us nothing. B) No. It means that if a die were rolled many times, about 1 2 of the outcomes would be even numbers. C)No, but if the die was rolled 10 times, 5 outcomes would be even numbers. D) Yes. 2) A a single card is chosen at random from a deck of 52 cards, the probability that a face card ( Jack, Queen, King) is selected is 3. Does this probability mean that, if you choose a card at random 2) times, a face card will appear 3 times? If not, what does it mean? A) Yes. B) No, it means that if a card was chosen at random from a deck of 52 cards exactly 52 times, exactly 12 outcomes would be face cards. C)No, a probability of 3 tells us nothing. D) No, it means that if a card was chosen at random from a deck of 52 cards many times, about 3 of the outcomes would be face cards. 3) How you would find the empirical probability of rolling a 2 on a die? A) Roll a die many times and then find the relative frequency of rolling a 2. The relative frequency would be obtained by dividing the number of times a 2 has occurred by the total number of times the die was tossed. B) The empirical probability cannot be determined. C)Roll a die 6 times and then find the relative frequency of rolling a 2. The relative frequency would be obtained by dividing the number of times a 2 has occurred by 6. D) Roll a die 1 time and then find the relative frequency of rolling a 2. The relative frequency would be obtained by dividing the number of times a 2 has occurred by 1. 3) 1

4) How would you find the empirical probability of getting a red card, if you are choosing a card from an ordinary deck of 52 cards? A) Choose a card from a deck of 52 cards many times and then find the relative frequency of red cards. This would be done by dividing the number of times a red card has occurred by the total number of times a card was chosen. B) Choose a card from a deck of 52 cards 2 times and then find the relative frequency of red cards. This would be done by dividing the number of times a red card has occurred by 2. C)Choose a card from a deck of 52 cards 52 times and then find the relative frequency of red cards. This would be done by dividing the number of times a red card has occurred by 52. D) The empirical probability cannot be determined. 4) 5) In order to determine premiums, life insurance companies must compute the probable date of death. They have determined that Carl LaFong, age 30, is expected to live another 45.1 years. Does this mean that Carl will live until he is 75.1 years old? If not, what does it mean? A) No, it means that for a large group of persons with the same risk factors as Carl, the average age at death would be approximately 75.1 years old. B) No, it means that Carl will live to be 75.1 years old, give or take a week. C)No, it means that for a large group of persons with the same risk factors as Carl, at least one person would live to an age of exactly 75.1 years old. D) Yes. 5) Solve the problem. 6) Two coins are tossed 20 times and the number of tails is observed. 6) Outcome 2 tails 1 tail 0 tails Frequency 3 7 10 Compute the empirical probability that exactly one tail occurred. A) 1 B) 17 C) 7 4 20 20 D) 1 2 7) A die is rolled 50 times with the following results. 7) Outcome 1 2 3 4 5 6 Frequency 3 12 7 0 15 Compute the empirical probability that the die comes up a 5. A) 3 20 B) 0 C) 1 3 8) This spinner is spun 36 times. The spinner landed on A 6 times, on B 21 times, and on C 9 times. Compute the empirical probability that the spinner will land on B. 8) A) 5 6 B) 1 3 C) 7 12 D) 1 4 2

9) A pair of fair dice is rolled 50 times and the sum of the dots on the faces is noted. 9) Outcome 2 3 4 5 6 7 8 9 10 11 12 Frequency 3 6 8 3 8 1 5 9 7 0 0 Compute the empirical probability that the sum rolled is greater than 9. A) 9 8 B) C) 7 50 25 50 10) Three coins are tossed 80 times and the number of heads is observed. 10) Outcome no heads one head two heads three heads Frequency 3 59 18 0 Compute the empirical probability that at most two heads occur. A) 3 B) 31 C) 77 4 90 D) 1 11) A die is rolled 100 times with the following results. 11) Outcome 1 2 3 4 5 6 Frequency 25 18 12 23 14 8 Compute the empirical probability that the die comes up 2 or 3. A) 3 3 B) C) 9 25 10 50 12) An employment agency required 20 secretarial candidates to type the same manuscript. The number of errors found in each manuscript is summarized in the histogram. Find the empirical probability that a candidate has less than four errors in the typed manuscript. 12) A) 1 10 B) 1 4 C) 2 5 D) 1 2 Estimate the indicated probability. ) The table shows the number of college students who prefer a given pizza topping. ) cheese 14 16 20 26 meat 19 26 16 14 veggie 16 14 19 26 Determine the empirical probability that a student prefers cheese toppings. A) 0.342 B) 0.115 C) 0.332 D) 0.336 3

14) The table shows the number of college students who prefer a given pizza topping. 14) cheese 10 15 26 21 meat 24 21 15 10 veggie 15 10 24 21 Determine the empirical probability that a junior prefers meat toppings. A) 0.071 B) 0.214 C) 0.231 D) 0.320 15) The table shows the number of college students who prefer a given pizza topping. 15) cheese 11 16 24 22 meat 24 22 16 11 veggie 16 11 24 22 Determine the empirical probability that a freshmen prefers cheese toppings. A) 0.151 B) 0.216 C) 0.471 D) 0.050 16) The table shows the number of college students who prefer a given pizza topping. 16) cheese 12 24 25 meat 18 25 12 veggie 12 18 25 Determine the empirical probability that a student prefers meat toppings. A) 0.086 B) 0.265 C) 0.352 D) 0.324 17) The Amboy Kennel Club has held an annual dog show for the last 30 years. During this time the winner of "Best of Show" has been an Alaskan Malamute 15 times, a Great Pyrenees 3 times, and an Siberian Husky 12 times. Determine the empirical probability that the next winner of "Best of Show" will be an Alaskan Malamute. 17) A) 1 10 B) 1 C) 1 2 D) 5 8 18) The Amboy Kennel Club has held an annual dog show for the last 48 years. During this time the winner of "Best of Show" has been an Alaskan Malamute 24 times, a Great Pyrenees 3 times, and an Siberian Husky 21 times. Determine the empirical probability that the next winner of "Best of Show" will be a Great Pyrenees. A) 3 1 B) C) 1 D) 1 8 16 8 18) 19) The Amboy Kennel Club has held an annual dog show for the last 18 years. During this time the winner of "Best of Show" has been an Alaskan Malamute 9 times, a Great Pyrenees 3 times, and an Siberian Husky 6 times. Determine the empirical probability that the next winner of "Best of Show" will be a Siberian Husky. 19) A) 1 2 B) 2 7 C) 2 3 D) 1 3 4

20) A survey was done at a mall in which 1000 customers were asked what type of credit card they used most often. The results of the survey are shown in the figure below: 20) 0.2% 37.8%.2% 32.5% 16.3% Determine the empirical probability that a person selected at random from the 1000 surveyed uses Mastercard. A) 0.365 B) 1.049 C) 0.0378 D) 0.378 21) A survey was done at a mall in which 5000 customers were asked what type of credit card they used most often. The results of the survey are shown in the figure below: 21) 0.2% 0.0002% 0.02% 28.6% 16.3% Determine the empirical probability that a person selected at random from the 5000 surveyed uses no card. A) 0.002 B) 0.0002 C) 0.022 D) 0.02 5