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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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