document.write( "Question 1200098: 10. Suppose it is known that the probability of recovery for a certain disease is 0.4. If 35 people are stricken with the disease, what is the probability that:
\n" ); document.write( "(a) 25 or more will recover?
\n" ); document.write( "(b) Fewer than five will recover?
\n" ); document.write( "(Use the normal approximation.)
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Algebra.Com's Answer #848095 by GingerAle(43)\"\" \"About 
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**1. Define the parameters:**\r
\n" ); document.write( "\n" ); document.write( "* **p:** Probability of recovery = 0.4
\n" ); document.write( "* **n:** Number of people stricken with the disease = 35\r
\n" ); document.write( "\n" ); document.write( "**2. Calculate the mean and standard deviation:**\r
\n" ); document.write( "\n" ); document.write( "* **Mean (μ):** μ = n * p = 35 * 0.4 = 14
\n" ); document.write( "* **Standard deviation (σ):** σ = √(n * p * (1 - p)) = √(35 * 0.4 * 0.6) ≈ 2.898\r
\n" ); document.write( "\n" ); document.write( "**3. (a) Probability of 25 or more recovering:**\r
\n" ); document.write( "\n" ); document.write( "* **Continuity correction:** Since we're using the normal approximation to the binomial distribution, we need to apply a continuity correction. For \"25 or more,\" we'll use 24.5 as the lower bound.\r
\n" ); document.write( "\n" ); document.write( "* **Calculate the z-score:**
\n" ); document.write( " z = (X - μ) / σ = (24.5 - 14) / 2.898 ≈ 3.62\r
\n" ); document.write( "\n" ); document.write( "* **Find the probability:**
\n" ); document.write( " Using a standard normal distribution table or calculator, we find the area to the right of z = 3.62.
\n" ); document.write( " P(X ≥ 25) ≈ 0.00015\r
\n" ); document.write( "\n" ); document.write( "**4. (b) Probability of fewer than 5 recovering:**\r
\n" ); document.write( "\n" ); document.write( "* **Continuity correction:** For \"fewer than 5,\" we'll use 4.5 as the upper bound.\r
\n" ); document.write( "\n" ); document.write( "* **Calculate the z-score:**
\n" ); document.write( " z = (X - μ) / σ = (4.5 - 14) / 2.898 ≈ -3.28\r
\n" ); document.write( "\n" ); document.write( "* **Find the probability:**
\n" ); document.write( " Using a standard normal distribution table or calculator, we find the area to the left of z = -3.28.
\n" ); document.write( " P(X < 5) ≈ 0.0005\r
\n" ); document.write( "\n" ); document.write( "**Therefore:**\r
\n" ); document.write( "\n" ); document.write( "* (a) The probability that 25 or more people will recover is approximately **0.00015 (or 0.015%)**.
\n" ); document.write( "* (b) The probability that fewer than 5 people will recover is approximately **0.0005 (or 0.05%)**.\r
\n" ); document.write( "\n" ); document.write( "**Note:** These probabilities are based on the normal approximation to the binomial distribution. For a more precise calculation, you could use the binomial probability formula directly.
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