document.write( "Question 1168872: You receive a brochure from a large university. The brochure indicates that the mean class size for full-time faculty is fewer than 32students. You want to test this claim. You randomly select 18 classes taught by full­ time faculty and determine the class size of each. The results are listed below. At a=o.01, can you support the university's claim.
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\n" ); document.write( "28 30 36 33 29 27 30 28 25\r
\n" ); document.write( "\n" ); document.write( "Research Question:
\n" ); document.write( "I. Hypotheses:
\n" ); document.write( "Ho: µ
\n" ); document.write( "Hi:µ
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\n" ); document.write( "\n" ); document.write( "IV. Decision:
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\n" ); document.write( "II. Criteria for Decision:
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\n" ); document.write( "Decision Rule:
\n" ); document.write( "Reject H 0 if p-value <
\n" ); document.write( "Ill.Test Statistics:
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\n" ); document.write( "\n" ); document.write( "V. Summary:\r
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Algebra.Com's Answer #851484 by CPhill(1959)\"\" \"About 
You can put this solution on YOUR website!
Let's break down this hypothesis test step-by-step.\r
\n" ); document.write( "\n" ); document.write( "**I. Hypotheses:**\r
\n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H₀):** The mean class size for full-time faculty is greater than or equal to 32 students.
\n" ); document.write( " * H₀: µ ≥ 32
\n" ); document.write( "* **Alternative Hypothesis (H₁):** The mean class size for full-time faculty is less than 32 students.
\n" ); document.write( " * H₁: µ < 32\r
\n" ); document.write( "\n" ); document.write( "**II. Criteria for Decision:**\r
\n" ); document.write( "\n" ); document.write( "* **a (alpha):** 0.01 (given in the problem)
\n" ); document.write( "* **Decision Rule:** Since the alternative hypothesis is a \"less than\" test (left-tailed), we will reject H₀ if the p-value is less than 0.01.\r
\n" ); document.write( "\n" ); document.write( "**III. Test Statistics:**\r
\n" ); document.write( "\n" ); document.write( "1. **Calculate the Sample Mean (x̄):**
\n" ); document.write( " * Sum of class sizes: 35 + 28 + 29 + 33 + 32 + 40 + 26 + 25 + 29 + 28 + 30 + 36 + 33 + 29 + 27 + 30 + 28 + 25 = 523
\n" ); document.write( " * Sample size (n): 18
\n" ); document.write( " * x̄ = 523 / 18 ≈ 29.0556\r
\n" ); document.write( "\n" ); document.write( "2. **Calculate the Sample Standard Deviation (s):**
\n" ); document.write( " * Using a calculator or statistical software, we find the sample standard deviation (s) ≈ 4.195\r
\n" ); document.write( "\n" ); document.write( "3. **Calculate the Test Statistic (t):**
\n" ); document.write( " * Since the population standard deviation is unknown and the sample size is small (n < 30), we will use a t-test.
\n" ); document.write( " * t = (x̄ - µ) / (s / √n)
\n" ); document.write( " * t = (29.0556 - 32) / (4.195 / √18)
\n" ); document.write( " * t ≈ -2.94\r
\n" ); document.write( "\n" ); document.write( "4. **Degrees of Freedom (df):**
\n" ); document.write( " * df = n - 1 = 18 - 1 = 17\r
\n" ); document.write( "\n" ); document.write( "5. **Calculate the p-value:**
\n" ); document.write( " * Using a t-distribution table or statistical software, we find the p-value for a t-statistic of -2.94 with 17 degrees of freedom (left-tailed test).
\n" ); document.write( " * p-value ≈ 0.0046\r
\n" ); document.write( "\n" ); document.write( "**IV. Decision:**\r
\n" ); document.write( "\n" ); document.write( "* **Compare the p-value to alpha:** 0.0046 < 0.01
\n" ); document.write( "* **Decision:** Reject the null hypothesis (H₀).\r
\n" ); document.write( "\n" ); document.write( "**V. Summary:**\r
\n" ); document.write( "\n" ); document.write( "* The calculated t-statistic is approximately -2.94.
\n" ); document.write( "* The p-value is approximately 0.0046.
\n" ); document.write( "* Since the p-value (0.0046) is less than the significance level (0.01), we reject the null hypothesis.
\n" ); document.write( "* **Conclusion:** There is sufficient evidence at the α = 0.01 level to support the university's claim that the mean class size for full-time faculty is fewer than 32 students.
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