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Magnetic resonance imaging (MRI) is a process that produces internal body images using a strong magnetic field. Some patients become claustrophobic and require sedation because they are required to lie within a small, enclosed space during the MRI test. Suppose that \(20 \%\) of all patients undergoing MRI testing require sedation due to claustrophobia. If five patients are selected at random, using the binomial probability distribution formula, find the probability that the number of patients in these five who require sedation is a. exactly 2 b. none c. exactly 4

Short Answer

Expert verified
The exact probabilities would be derived from calculating the values in the steps above. The probabilities represent, respectively, the chances of exactly 2, none, and exactly 4 patients out of a sample of 5 needing sedation due to claustrophobia when undergoing an MRI test, given a 20% chance of this occurrence.

Step by step solution

01

Understand the Binomial Probability Formula

The binomial probability formula is given as:\\\[ P(k;n,p) = C(n, k) \times (p)^k \times (1-p)^{n-k} \]\\where:\- \(P(k;n,p)\) is the probability of having \(k\) successes out of \(n\) trials- \(C(n, k)\) is a binomial coefficient which represents the number of possible combinations of \(n\) items taken \(k\) at a time- \(p\) is the probability of success on an individual trial- \(n-k\) represents the number of failures
02

Calculate the Binomial Probability for Exactly 2 Patients Needing Sedation

For this part, we fill in the values to find the probability of exactly 2 patients needing sedation. Here, \(k=2\), \(n=5\), \(p=0.2\).\\\[ P(2;5,0.2) = C(5, 2) \times (0.2)^2 \times (1-0.2)^{5-2} \]\\Calculate the result of this expression to get the probability.
03

Calculate the Binomial Probability for No Patients Needing Sedation

Next, we find the probability of no patients needing sedation. In this case, \(k=0\).\\\[ P(0;5,0.2) = C(5, 0) \times (0.2)^0 \times (1-0.2)^{5-0} \]\\Calculate the result of this expression to get the probability.
04

Calculate the Binomial Probability for Exactly 4 Patients Needing Sedation

Finally, we calculate the probability of exactly 4 patients needing sedation. Here, \(k=4\).\\\[ P(4;5,0.2) = C(5, 4) \times (0.2)^4 \times (1-0.2)^{5-4} \]\\Calculate the result of this expression to get the probability.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

MRI testing
Magnetic Resonance Imaging, abbreviated as MRI, is a non-invasive medical test used to create detailed images of the organs and tissues inside the body. The process utilizes a strong magnetic field along with radio waves to generate these images.
MRI is especially useful for examining soft tissues and structures such as the brain, heart, muscles, and ligaments. During MRI testing, the patient is required to lie still within a narrow tube of the MRI scanner. The whole procedure is painless but may take some time, usually between 30 to 90 minutes depending on the tested area. This impressive technology helps doctors diagnose a variety of conditions and plan appropriate treatment strategies.
claustrophobia
Claustrophobia is a type of anxiety disorder where an individual experiences an intense fear of confined or crowded spaces. Many people undergoing an MRI scan may encounter claustrophobia due to the small and enclosed nature of the machine.
This fear can cause symptoms like increased heart rate, dizziness, sweating, or even panic attacks, which can make it difficult for patients to complete the scan. In cases where claustrophobia is significant, sedation may be necessary to help the patient remain calm and still for the duration of the MRI test. Health professionals often discuss the patient's medical history and current anxiety levels to determine the best approach to manage these feelings.
sedation
Sedation involves administering medication to help patients relax or feel sleepy during medical procedures. For MRI scans, sedation is sometimes used to ease anxiety or alleviate the discomfort associated with claustrophobia.
The level of sedation can vary, ranging from minimal, where the patient remains awake but relaxed, to moderate, where they are sleepier but still able to follow instructions. It is important to remember that sedation must be administered with care, guided by trained medical staff, and monitored closely throughout the process to ensure safety and comfort for the patient. Prior to an MRI, patients who might require sedation are usually informed about the process, potential side effects, and any necessary preparations they need to undertake before the procedure.
probability distribution
Probability distribution is a statistical function that describes the likelihood of different outcomes in a random experiment. In the context of the MRI exercise, we are dealing with a binomial probability distribution, which applies to scenarios with fixed numbers of experiments, each having a binary outcome (success or failure). For MRI testing, an event like whether a patient needs sedation is a 'success' or 'failure' (with sedation representing success in the distribution terms). Binomial distribution is suitable here because:
  • The number of trials ( "); is fixed: 5 patients in this case.
  • Each trial is independent (one patient's experience doesn't affect another's).
  • The probability of requiring sedation remains constant at 20% (or 0.2) for each trial.
Analyzing such distributions helps us predict outcomes and make informed decisions based on the data.
binomial coefficient
The binomial coefficient, represented as \( C(n, k) \), is a crucial part of calculating binomial probabilities. It represents the number of different combinations possible when selecting \( k \) successes from \( n \) independent trials. In mathematical terms, the binomial coefficient is given by the formula:\[C(n, k) = \frac{n!}{k!(n-k)!}\]where \( n! \) represents the factorial of \( n \), or the product of all positive integers up to \( n \).In our MRI example, if we want to calculate the probabilities of different scenarios involving sedation, the binomial coefficient helps determine how many ways we can select \( k \) sedations among \( n \) patients, aiding in comprehensively understanding and predicting probabilities in trials such as these.

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