Explain whats wrong with each of the following simulation designs

Problem 16

Simulation blunders Explain whats wrong with each of the following simulation designs. (a) According to the Centers for Disease Control and Prevention, about 36% of U.S. adults were obese in 2012. To simulate choosing 8 adults at random and seeing how many are obese, we could use two digits. Let 00 to 35 represent obese and 36 to 99 represent 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 9 babies who were born at a local hospital today and observing their gender, use one digit. Use randInt(0,9) on your calculator to determine how many babies in the sample are male.

Step-by-Step Solution:

Step 1 of 3

a)

It is not appropriate that numbers that already appeared were skipped, because then the likeliness of selecting an obese individual will no longer be

.

Textbook: The Practice of StatisticsEdition: 5

Author: Daren S. Starnes, Josh TaborISBN: 9781464108730

The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. This full solution covers the following key subjects: . This expansive textbook survival guide covers 44 chapters, and 1409 solutions. The full step-by-step solution to problem: 16 from chapter: 5.1 was answered by , our top Statistics solution expert on 03/19/18, 03:52PM. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5. Since the solution to 16 from 5.1 chapter was answered, more than 548 students have viewed the full step-by-step answer. The answer to “Simulation blunders Explain whats wrong with each of the following simulation designs. (a) According to the Centers for Disease Control and Prevention, about 36% of U.S. adults were obese in 2012. To simulate choosing 8 adults at random and seeing how many are obese, we could use two digits. Let 00 to 35 represent obese and 36 to 99 represent 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 9 babies who were born at a local hospital today and observing their gender, use one digit. Use randInt(0,9) on your calculator to determine how many babies in the sample are male.” is broken down into a number of easy to follow steps, and 141 words.

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Problem 15

Simulation blunders Explain whats wrong with each of the following simulation designs. (a) A roulette wheel has 38 colored slots18 red, 18 black, and 2 green. 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 00 to 09 represent being left-handed and 10 to 99 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 00 and 09. Record the number of people selected.

Step-by-Step Solution:

Step 1 of 3

Given that,

The simulation designs are provided. It is required to find out what is wrong with each of these.

Textbook: The Practice of StatisticsEdition: 5

Author: Daren S. Starnes, Josh TaborISBN: 9781464108730

Step by Step Solution

Part (a) Step 1. Given Information 

The simulation designs are available for download. It is necessary to determine what is wrong with each of them.

Part (a) Step 2. Concept Used   

We can't foresee the outcomes of a chance process, yet they have a regular distribution over a large number of repetitions. According to the law of large numbers, the fraction of times a specific event occurs in numerous repetitions approaches a single number. The likelihood of a chance outcome is its long-run relative frequency. A probability is a number between (never happens) and (happens frequently) (always occurs).

Part (a) Step 3. Explanation    

Looking at the question's stimuli, we can conclude that repeats should be permitted in this simulation because if you don't, the probability of for obesity will no longer be accurate after the first two-digit number. As a result, the repeats are missing in this simulation, indicating that something is wrong with it.