document.write( "Question 1181349: According to a study conducted, 48.9% of males aged 20 to 39 years consume the recommended daily requirement of calcium. After an aggressive marketing campaign, a separate survey was conducted and they found that 21 of 35 randomly selected males aged 20 to 39 of them consume the recommended daily requirement of calcium. At the α = 0.10 level of significance, is there evidence to conclude that the percentage of males aged 20 to 39 who consume the recommended daily requirement of calcium has increased?
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Algebra.Com's Answer #850058 by CPhill(1959)\"\" \"About 
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Here's how to conduct a hypothesis test to determine if the marketing campaign was effective:\r
\n" ); document.write( "\n" ); document.write( "**1. State the Hypotheses:**\r
\n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H₀):** The percentage of males aged 20-39 who consume the recommended daily requirement of calcium has *not* increased. (p ≤ 0.489)
\n" ); document.write( "* **Alternative Hypothesis (H₁):** The percentage of males aged 20-39 who consume the recommended daily requirement of calcium *has* increased. (p > 0.489) This is a right-tailed test.\r
\n" ); document.write( "\n" ); document.write( "**2. Determine the Level of Significance:**\r
\n" ); document.write( "\n" ); document.write( "α = 0.10\r
\n" ); document.write( "\n" ); document.write( "**3. Calculate the Sample Proportion (p̂):**\r
\n" ); document.write( "\n" ); document.write( "p̂ = (Number who consume recommended calcium) / (Total number surveyed)
\n" ); document.write( "p̂ = 21 / 35
\n" ); document.write( "p̂ = 0.6\r
\n" ); document.write( "\n" ); document.write( "**4. Calculate the Test Statistic (z-score):**\r
\n" ); document.write( "\n" ); document.write( "We use a z-test for proportions because the sample size is large enough.\r
\n" ); document.write( "\n" ); document.write( "z = (p̂ - p) / sqrt[p(1-p)/n]
\n" ); document.write( "z = (0.6 - 0.489) / sqrt[(0.489 * 0.511) / 35]
\n" ); document.write( "z = 0.111 / sqrt(0.00714)
\n" ); document.write( "z = 0.111 / 0.0845
\n" ); document.write( "z ≈ 1.31\r
\n" ); document.write( "\n" ); document.write( "**5. Determine the Critical Value (or P-value):**\r
\n" ); document.write( "\n" ); document.write( "* **Critical Value Approach:** For a right-tailed test with α = 0.10, the critical z-value is approximately 1.28 (you can find this using a z-table or calculator). If our calculated z-score is greater than 1.28, we reject the null hypothesis.\r
\n" ); document.write( "\n" ); document.write( "* **P-value Approach:** The p-value is the probability of observing a test statistic as extreme as, or more extreme than, the one calculated, assuming the null hypothesis is true. Since this is a right-tailed test, we want the area to the *right* of our z-score (1.31) on the standard normal distribution. Using a z-table or calculator, we find that the p-value is approximately 0.095.\r
\n" ); document.write( "\n" ); document.write( "**6. Make a Decision:**\r
\n" ); document.write( "\n" ); document.write( "* **Critical Value Approach:** Our calculated z-score (1.31) is *greater* than the critical value (1.28). Therefore, we *reject* the null hypothesis.\r
\n" ); document.write( "\n" ); document.write( "* **P-value Approach:** Our p-value (0.095) is *less than* our significance level (0.10). Therefore, we *reject* the null hypothesis.\r
\n" ); document.write( "\n" ); document.write( "**7. State the Conclusion:**\r
\n" ); document.write( "\n" ); document.write( "There *is* sufficient evidence at the α = 0.10 level of significance to conclude that the percentage of males aged 20 to 39 who consume the recommended daily requirement of calcium has increased after the marketing campaign.
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