Is this valid? Determine whether each of the following simulation designs is valid. Justify your answer.

(a) According to a recent survey, 50% of people aged 13 and older in the United States are addicted to email. To simulate choosing a random sample of

20people in this population and seeing how many of them are addicted to email, use a deck of cards. Shuffle the deck well, and then draw one card at a

time. A red card means that person is addicted to email; a black card means he isn’t. Continue until you have drawn 20cards (without replacement) for the sample.

(b) A tennis player gets 95%of his second serves in play during practice (that is, the ball doesn’t go out of bounds). To simulate the player hitting 5second serves, look at pairs of digits going across a row in Table D. If the number is between 00and 94, the service is in; numbers between 95and 99indicate that the service is out.

Short Answer

Expert verified

Part (a) It isn't valid.

Part (b) It is valid.

Step by step solution

01

Part (a) Step 1. Given Information  

We must determine and justify the validity of each of the following simulation designs.

02

Part (a) Step 2. Concept Used    

A simulation is a technique for replicating random behaviour using a model that accurately reflects the situation, which is typically done with random numbers.

03

Part (a) Step 3. Explanation  

The simulation in the question isn't accurate. It is not valid because if the automobiles are not replaced, the chances of finding someone who is addicted to email are no longer 50%As a result, the replacement is required. If you draw a red card (addiction), for example, the next draw will have 25red cards and 26black cards, giving you a probability of 2525+26=2551=0.4902=49.02%And this isn't even half of it. As a result, the outcome.

04

Part (b) Step 1. Explanation    

The simulation in the question is accurate. It is legitimate since there are 95 possible outcomes ranging from 00 to 94 as well as five outcomes ranging from 95 to 99 As a result, the serve has a 95 out of 100 chance of being in, which translates to 95 percent of the time. As a result, the simulation is correct.

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Most popular questions from this chapter

Simulation blunders Explain what’s wrong with each of the following simulation designs.

(a) A roulette wheel has 38colored slots—38 red, 18 black, and 2green. To simulate one spin of the wheel, let numbers 00 to 18 represent red, 19 to 37

represent black, and 38 to 40 represent green.

(b) About 10% of U.S. adults are left-handed. To simulate randomly selecting one adult at a time until you find a left-hander, use two digits. Let 01 to 10 represent being left-handed and 11 to 00 represent being right-handed. Move across a row in Table D, two digits at a time, skipping any numbers that have already appeared, until you find a number between 01 and 10. Record the number of people selected.

Going pro Only 5%of male high school basketball, baseball, and football players go on to play at the college level. Of these, only1.7% enter major league professional sports. About 40% of the athletes who compete in college and then reach the pros have a career of more than3 years.16 What is the probability that a high school athlete who plays basketball, baseball, or football competes in college and then goes on to have a pro career of more than 3 years? Show your work.

Construct a tree diagram to represent this situation.

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Simulation blunders Explain what’s wrong with each of the following simulation designs.

(a) According to the Centers for Disease Control and Prevention, about 26%of U.S. adults were obese in 2008. To simulate choosing 8adults at random and seeing how many are obese, we could use two digits. Let 01to 26represent obese and 27to 00represents not obese. Move across a row in Table D, two digits at a time, until you find 8 distinct numbers (no repeats). Record the number of obese people selected.

(b) Assume that the probability of a newborn being a boy is 0.5. To simulate choosing a random sample of 9babies who were born at a local hospital today and observing their gender, use one digit. Use ran dint (0,9) on your calculator to determine how many babies in the sample are male.

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