document.write( "Question 1194764: The following is sample information. Test the hypothesis that the treatment means are equal. Use the 0.05 significance level.
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\n" ); document.write( "\n" ); document.write( "a. State the null hypothesis and the alternate hypothesis.\r
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\n" ); document.write( "b. What is the decision rule? (Round the final answer to 2 decimal places.)\r
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\n" ); document.write( "\n" ); document.write( "Reject H0 if the test statistic is greater than
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\n" ); document.write( "c. Compute SST, SSE, and SS total. (Round the final answers to 3 decimal places.)\r
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\n" ); document.write( "d. Complete the ANOVA table. (Round the SS, MS, and F values to 3 decimal places.)\r
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\n" ); document.write( "\n" ); document.write( "e. State your decision regarding the null hypothesis.\r
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Algebra.Com's Answer #848442 by ElectricPavlov(122)\"\" \"About 
You can put this solution on YOUR website!
**a) State the null hypothesis and the alternate hypothesis.**\r
\n" ); document.write( "\n" ); document.write( "* **H0:** μ1 = μ2 = μ3 (The mean values for all three treatments are equal)
\n" ); document.write( "* **H1:** At least one treatment mean is different from the others.\r
\n" ); document.write( "\n" ); document.write( "**b) What is the decision rule?**\r
\n" ); document.write( "\n" ); document.write( "* **Find the critical F-value:**
\n" ); document.write( " * Degrees of freedom between groups (df1): k - 1 = 3 - 1 = 2
\n" ); document.write( " * Degrees of freedom within groups (df2): N - k = 12 - 3 = 9
\n" ); document.write( " * Significance level (α) = 0.05
\n" ); document.write( " * Using an F-distribution table or statistical software, find the critical F-value.
\n" ); document.write( " * **F-critical ≈ 4.26** \r
\n" ); document.write( "\n" ); document.write( "* **Decision Rule:**
\n" ); document.write( " * Reject H0 if the calculated F-statistic is greater than 4.26.\r
\n" ); document.write( "\n" ); document.write( "**c) Compute SST, SSE, and SS total.**\r
\n" ); document.write( "\n" ); document.write( "* **Calculate Treatment Means:**
\n" ); document.write( " * Treatment 1: (7 + 6 + 8 + 6) / 4 = 6.75
\n" ); document.write( " * Treatment 2: (7 + 10 + 4 + 7) / 4 = 7
\n" ); document.write( " * Treatment 3: (4 + 5 + 5 + 5) / 4 = 4.75
\n" ); document.write( " * Grand Mean: (Sum of all observations) / Total number of observations = 5.5\r
\n" ); document.write( "\n" ); document.write( "* **Calculate Sum of Squares (SS):**
\n" ); document.write( " * **SST (Total Sum of Squares):** Σ(x_ij - x̄)²
\n" ); document.write( " * x_ij: Individual observation
\n" ); document.write( " * x̄: Grand mean
\n" ); document.write( " * SST = (7 - 5.5)² + (6 - 5.5)² + ... + (5 - 5.5)² = 26.75\r
\n" ); document.write( "\n" ); document.write( " * **SSB (Sum of Squares Between Groups):** Σ(n_i * (x̄_i - x̄)²)
\n" ); document.write( " * n_i: Number of observations in each group (4)
\n" ); document.write( " * x̄_i: Mean of each group
\n" ); document.write( " * SSB = 4 * (6.75 - 5.5)² + 4 * (7 - 5.5)² + 4 * (4.75 - 5.5)² = 12.5\r
\n" ); document.write( "\n" ); document.write( " * **SSE (Sum of Squares Error):** SST - SSB = 26.75 - 12.5 = 14.25\r
\n" ); document.write( "\n" ); document.write( "**d) Complete the ANOVA Table**\r
\n" ); document.write( "\n" ); document.write( "| Source | SS | DF | MS | F |
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\n" ); document.write( "| Treatment | 12.500 | 2 | 6.250 | 4.167 |
\n" ); document.write( "| Error | 14.250 | 9 | 1.583 | |
\n" ); document.write( "| Total | 26.750 | 11 | | |\r
\n" ); document.write( "\n" ); document.write( "**e) State your decision regarding the null hypothesis.**\r
\n" ); document.write( "\n" ); document.write( "* Since the calculated F-statistic (4.167) is less than the critical F-value (4.26), we **fail to reject the null hypothesis (H0)**. \r
\n" ); document.write( "\n" ); document.write( "**Conclusion:**\r
\n" ); document.write( "\n" ); document.write( "There is not sufficient evidence at the 0.05 significance level to conclude that there are significant differences among the treatment means.
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