Questions: Suppose that 93% of adults with allergies report symptomatic relief with a specific medication. Suppose the medication is given to 21 randomly selected new patients with allergies. Round to the fourth for all answers.
a) If we randomly selected 21 new patients over and over again, on average how many would we expect to have symptomatic relief?
b) Find the variance of the distribution,
c) Find the standard deviation of the distribution.
Transcript text: Suppose that $93 \%$ of adults with allergies report symptomatic relief with a specific medication. Suppose the medication is given to 21 randomly selected new patients with allergies. Round to the fourth for all answers.
a) If we randomly selected 21 new patients over and over again, on average how many would we expect to have symptomatic relief? $\square$
b) Find the variance of the distribution, $\square$
c) Find the standard deviation of the distribution. $\square$
Solution
Solution Steps
Step 1: Identify the distribution and parameters
The problem describes a binomial distribution where:
The probability of success (symptomatic relief) is \( p = 0.93 \).
The number of trials (patients) is \( n = 21 \).
The binomial distribution is characterized by:
Mean: \( \mu = n \cdot p \)
Variance: \( \sigma^2 = n \cdot p \cdot (1 - p) \)
Standard deviation: \( \sigma = \sqrt{n \cdot p \cdot (1 - p)} \)
Step 2: Calculate the expected number of patients with symptomatic relief
The expected number of patients with symptomatic relief is the mean of the binomial distribution:
\[
\mu = n \cdot p = 21 \cdot 0.93 = 19.53
\]
Step 3: Calculate the variance of the distribution
The variance of the binomial distribution is:
\[
\sigma^2 = n \cdot p \cdot (1 - p) = 21 \cdot 0.93 \cdot (1 - 0.93) = 21 \cdot 0.93 \cdot 0.07 = 1.3659
\]
Step 4: Calculate the standard deviation of the distribution
The standard deviation is the square root of the variance:
\[
\sigma = \sqrt{\sigma^2} = \sqrt{1.3659} = 1.1687
\]
Final Answer
a) The expected number of patients with symptomatic relief is \(\boxed{19.53}\).
b) The variance of the distribution is \(\boxed{1.3659}\).
c) The standard deviation of the distribution is \(\boxed{1.1687}\).