document.write( "Question 1195794: 9.A random sample of 24 management students in each batch was taken. The total (100%) scores for those students were recorded as follows.
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document.write( "1st year students 2nd year students 3rd year students
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document.write( "82 83 38
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document.write( "83 73 59
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document.write( "97 68 55
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document.write( "93 61 66
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document.write( "55 77 45
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document.write( "67 54 52
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document.write( "63 69 52
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document.write( "63 51 61
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document.write( "Required: At the 0.01 α, do the three batch students lead to different levels of score? \n" );
document.write( "
Algebra.Com's Answer #848422 by ElectricPavlov(122)![]() ![]() ![]() You can put this solution on YOUR website! **1. Set up Hypotheses**\r \n" ); document.write( "\n" ); document.write( "* **Null Hypothesis (H0):** The mean scores of the three batches of students are equal. (μ1 = μ2 = μ3) \n" ); document.write( "* **Alternative Hypothesis (H1):** At least one of the batch means is different from the others.\r \n" ); document.write( "\n" ); document.write( "**2. Calculate Necessary Statistics**\r \n" ); document.write( "\n" ); document.write( "* **Calculate the mean score for each batch:** \n" ); document.write( " * 1st Year: (82 + 83 + 97 + 93 + 55 + 67 + 63 + 63) / 8 = 73.125 \n" ); document.write( " * 2nd Year: (83 + 73 + 68 + 61 + 77 + 54 + 69 + 51) / 8 = 65.75 \n" ); document.write( " * 3rd Year: (38 + 59 + 55 + 66 + 45 + 52 + 52 + 61) / 8 = 53.5\r \n" ); document.write( "\n" ); document.write( "* **Calculate the overall mean:** \n" ); document.write( " * (Sum of all scores) / (Total number of students) \n" ); document.write( " * (Sum of all scores for 1st Year + Sum of all scores for 2nd Year + Sum of all scores for 3rd Year) / (24 students)\r \n" ); document.write( "\n" ); document.write( "* **Calculate Sum of Squares Between Groups (SSB):** \n" ); document.write( " * SSB = Σ(n_i * (x̄_i - x̄_grand)²), where: \n" ); document.write( " * n_i is the sample size of each group (8 in this case) \n" ); document.write( " * x̄_i is the mean of each group \n" ); document.write( " * x̄_grand is the overall mean\r \n" ); document.write( "\n" ); document.write( "* **Calculate Sum of Squares Within Groups (SSW):** \n" ); document.write( " * SSW = Σ(Σ(x_ij - x̄_i)²), where: \n" ); document.write( " * x_ij is the score of each individual student \n" ); document.write( " * x̄_i is the mean of the group that student belongs to\r \n" ); document.write( "\n" ); document.write( "* **Calculate Degrees of Freedom:** \n" ); document.write( " * Between groups: df_between = k - 1 = 3 groups - 1 = 2 \n" ); document.write( " * Within groups: df_within = N - k = 72 - 3 = 69 (where N is the total number of students)\r \n" ); document.write( "\n" ); document.write( "* **Calculate Mean Squares:** \n" ); document.write( " * MSB = SSB / df_between \n" ); document.write( " * MSW = SSW / df_within\r \n" ); document.write( "\n" ); document.write( "* **Calculate F-statistic:** \n" ); document.write( " * F = MSB / MSW\r \n" ); document.write( "\n" ); document.write( "**3. Determine Critical Value**\r \n" ); document.write( "\n" ); document.write( "* **Find the critical F-value** from the F-distribution table using: \n" ); document.write( " * α = 0.01 \n" ); document.write( " * df_numerator = df_between = 2 \n" ); document.write( " * df_denominator = df_within = 69\r \n" ); document.write( "\n" ); document.write( "**4. Decision**\r \n" ); document.write( "\n" ); document.write( "* **Compare the calculated F-statistic to the critical F-value:** \n" ); document.write( " * If F-statistic > F-critical, reject the null hypothesis (H0). \n" ); document.write( " * If F-statistic ≤ F-critical, fail to reject the null hypothesis.\r \n" ); document.write( "\n" ); document.write( "**Interpretation**\r \n" ); document.write( "\n" ); document.write( "* If you reject the null hypothesis, it means there is sufficient evidence at the 0.01 significance level to conclude that there is a significant difference in the mean scores between at least two of the three student batches. \r \n" ); document.write( "\n" ); document.write( "**Note:**\r \n" ); document.write( "\n" ); document.write( "* This analysis requires the use of statistical software (like R, Python, or statistical packages like SPSS or Excel) to perform the calculations efficiently and accurately. \n" ); document.write( "* The ANOVA test only tells you that there is a significant difference between groups. To determine which specific groups differ, you would need to perform post-hoc tests (such as Tukey's HSD).\r \n" ); document.write( "\n" ); document.write( "**Let me know if you'd like help with the actual calculations using statistical software.** \n" ); document.write( " \n" ); document.write( " |