document.write( "Question 1200426: A study was conducted to evaluate the hypothesis that tea consumption and premenstrual syndrome are associated. A total of 188 nursing students and 64 tea factory workers were given questionnaires. The prevalence of premenstrual syndrome was 39% among the nursing students
\n" ); document.write( "and 77% among the tea factory workers. Calculate the 95% confidence interval for the prevalence of premenstrual syndrome for each of the two populations, nursing students and tea factory workers.
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Algebra.Com's Answer #848276 by CPhill(1987)\"\" \"About 
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**1. Nursing Students**\r
\n" ); document.write( "\n" ); document.write( "* **Sample Size (n1):** 188
\n" ); document.write( "* **Prevalence of PMS (p1):** 39% = 0.39
\n" ); document.write( "* **Number of Students with PMS (x1):** 188 * 0.39 = 73.32 ≈ 73 \r
\n" ); document.write( "\n" ); document.write( "* **Standard Error (SE1):**
\n" ); document.write( " * SE1 = √[p1 * (1 - p1) / n1]
\n" ); document.write( " * SE1 = √[0.39 * (1 - 0.39) / 188]
\n" ); document.write( " * SE1 ≈ 0.0394\r
\n" ); document.write( "\n" ); document.write( "* **95% Confidence Interval:**
\n" ); document.write( " * For a 95% confidence level, the z-score is 1.96.
\n" ); document.write( " * Lower Limit: p1 - (z * SE1) = 0.39 - (1.96 * 0.0394) ≈ 0.313
\n" ); document.write( " * Upper Limit: p1 + (z * SE1) = 0.39 + (1.96 * 0.0394) ≈ 0.467\r
\n" ); document.write( "\n" ); document.write( "* **95% Confidence Interval for Nursing Students:** (0.313, 0.467)\r
\n" ); document.write( "\n" ); document.write( "**2. Tea Factory Workers**\r
\n" ); document.write( "\n" ); document.write( "* **Sample Size (n2):** 64
\n" ); document.write( "* **Prevalence of PMS (p2):** 77% = 0.77
\n" ); document.write( "* **Number of Students with PMS (x2):** 64 * 0.77 = 49.28 ≈ 49 \r
\n" ); document.write( "\n" ); document.write( "* **Standard Error (SE2):**
\n" ); document.write( " * SE2 = √[p2 * (1 - p2) / n2]
\n" ); document.write( " * SE2 = √[0.77 * (1 - 0.77) / 64]
\n" ); document.write( " * SE2 ≈ 0.0534\r
\n" ); document.write( "\n" ); document.write( "* **95% Confidence Interval:**
\n" ); document.write( " * Lower Limit: p2 - (z * SE2) = 0.77 - (1.96 * 0.0534) ≈ 0.665
\n" ); document.write( " * Upper Limit: p2 + (z * SE2) = 0.77 + (1.96 * 0.0534) ≈ 0.875\r
\n" ); document.write( "\n" ); document.write( "* **95% Confidence Interval for Tea Factory Workers:** (0.665, 0.875)\r
\n" ); document.write( "\n" ); document.write( "**Interpretation:**\r
\n" ); document.write( "\n" ); document.write( "* We are 95% confident that the true proportion of nursing students experiencing PMS lies between 31.3% and 46.7%.
\n" ); document.write( "* We are 95% confident that the true proportion of tea factory workers experiencing PMS lies between 66.5% and 87.5%.\r
\n" ); document.write( "\n" ); document.write( "These confidence intervals provide a range within which the true population proportions are likely to fall. \r
\n" ); document.write( "\n" ); document.write( "**Note:**\r
\n" ); document.write( "\n" ); document.write( "* These calculations assume that the samples are representative of the respective populations.
\n" ); document.write( "* Larger sample sizes would generally lead to narrower confidence intervals and more precise estimates.
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