document.write( "Question 1198525: The administrator of a local hospital has told the governing board that 30% of its
\n" ); document.write( "emergency room patients are not really in need of emergency treatment. In checking
\n" ); document.write( "a random sample of 400 emergency room patients, a board member finds that 35%
\n" ); document.write( "of those treated were not true emergency cases. Using an appropriate hypothesis test
\n" ); document.write( "and the 0.05 level, evaluate the administrator’s statement.
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Algebra.Com's Answer #848292 by CPhill(1959)\"\" \"About 
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**1. Set up Hypotheses**\r
\n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H₀):** p = 0.30 (The true proportion of patients not needing emergency treatment is 30%)
\n" ); document.write( "* **Alternative Hypothesis (H₁):** p ≠ 0.30 (The true proportion of patients not needing emergency treatment is different from 30%) \r
\n" ); document.write( "\n" ); document.write( "**2. Calculate Sample Proportion**\r
\n" ); document.write( "\n" ); document.write( "* Sample Proportion (p̂): 35% = 0.35\r
\n" ); document.write( "\n" ); document.write( "**3. Calculate Test Statistic (z-score)**\r
\n" ); document.write( "\n" ); document.write( "* z = (p̂ - p₀) / √[p₀ * (1 - p₀) / n]
\n" ); document.write( " * where:
\n" ); document.write( " * p̂ = sample proportion (0.35)
\n" ); document.write( " * p₀ = hypothesized population proportion (0.30)
\n" ); document.write( " * n = sample size (400)\r
\n" ); document.write( "\n" ); document.write( "* z = (0.35 - 0.30) / √[0.30 * (1 - 0.30) / 400]
\n" ); document.write( "* z = 0.05 / √[0.30 * 0.70 / 400]
\n" ); document.write( "* z = 0.05 / √[0.21 / 400]
\n" ); document.write( "* z = 0.05 / 0.0229
\n" ); document.write( "* z ≈ 2.18\r
\n" ); document.write( "\n" ); document.write( "**4. Determine Critical Values**\r
\n" ); document.write( "\n" ); document.write( "* Since this is a two-tailed test (H₁: p ≠ 0.30) at a 0.05 significance level, we need to find the critical values that divide the distribution into two tails with 0.025 area in each.
\n" ); document.write( "* Using a standard normal distribution table, the critical values are approximately ±1.96.\r
\n" ); document.write( "\n" ); document.write( "**5. Make a Decision**\r
\n" ); document.write( "\n" ); document.write( "* **Compare the test statistic to the critical values:**
\n" ); document.write( " * Our calculated z-score (2.18) is greater than the critical value (1.96).\r
\n" ); document.write( "\n" ); document.write( "* **Decision:** Since the test statistic falls in the rejection region, we **reject the null hypothesis**.\r
\n" ); document.write( "\n" ); document.write( "**6. Conclusion**\r
\n" ); document.write( "\n" ); document.write( "* There is sufficient evidence at the 0.05 significance level to reject the administrator's claim that 30% of emergency room patients are not true emergencies. The sample data suggests that the actual proportion may be higher.\r
\n" ); document.write( "\n" ); document.write( "**In Summary:**\r
\n" ); document.write( "\n" ); document.write( "The board member's findings suggest that a higher proportion of patients may not be true emergencies than the administrator's claim. This information can be valuable for hospital resource allocation and improving emergency room efficiency.
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