document.write( "Question 1200573: In the following problem, check that it is appropriate to use the normal approximation to the binomial. Then use the normal distribution to estimate the requested probabilities.\r
\n" ); document.write( "\n" ); document.write( "It is estimated that 3.5% of the general population will live past their 90th birthday. In a graduating class of 758 high school seniors, find the following probabilities. (Round your answers to four decimal places)\r
\n" ); document.write( "\n" ); document.write( "what is the probability that 30 or more will live beyond their 90th birthday?
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Algebra.Com's Answer #848087 by GingerAle(43)\"\" \"About 
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**1. Check for Normal Approximation**\r
\n" ); document.write( "\n" ); document.write( "* **Conditions:**
\n" ); document.write( " * **np ≥ 10:** (758)(0.035) = 26.53 ≥ 10
\n" ); document.write( " * **n(1-p) ≥ 10:** (758)(0.965) = 731.47 ≥ 10\r
\n" ); document.write( "\n" ); document.write( "* **Conclusion:** Since both conditions are met, the normal approximation to the binomial distribution is appropriate.\r
\n" ); document.write( "\n" ); document.write( "**2. Calculate Mean and Standard Deviation**\r
\n" ); document.write( "\n" ); document.write( "* **Mean (μ):** μ = n * p = 758 * 0.035 = 26.53
\n" ); document.write( "* **Standard Deviation (σ):** σ = √(n * p * (1 - p)) = √(758 * 0.035 * 0.965) ≈ 5.07\r
\n" ); document.write( "\n" ); document.write( "**3. Calculate Z-score**\r
\n" ); document.write( "\n" ); document.write( "* **Continuity Correction:** For \"30 or more,\" we use 29.5 as the lower bound.
\n" ); document.write( "* **Z-score:** z = (X - μ) / σ = (29.5 - 26.53) / 5.07 ≈ 0.586\r
\n" ); document.write( "\n" ); document.write( "**4. Find Probability**\r
\n" ); document.write( "\n" ); document.write( "* **Using a Standard Normal Distribution Table or Calculator:**
\n" ); document.write( " * Find the area to the right of z = 0.586.
\n" ); document.write( " * P(X ≥ 30) ≈ 1 - 0.7219 = 0.2781\r
\n" ); document.write( "\n" ); document.write( "**Therefore, the probability that 30 or more of the 758 high school seniors will live beyond their 90th birthday is approximately 0.2781.**
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