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A researcher wants to compare the mean scores of students from three different educational programs: Agric Education, Business Education, and Industrial Technical Education. The scores are provided be
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8 stepsHere are the steps to solve the problem:
Part i
State the null and alternate hypotheses for the question above.
- Null Hypothesis (): There is no significant difference in the mean scores among students in Agric Education, Business Education, and Industrial Technical Education.
- Alternate Hypothesis (): At least one group mean score is significantly different from the others.
Part ii0.05
State the level of significance.
The level of significance is not explicitly stated in the question. We will assume a common level of significance.
- Level of Significance ():
Part iii· 8 steps
Calculate the F-value.
We will perform a one-way ANOVA to calculate the F-value.
Calculate the sum, mean, and sum of squares for each group.
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Agric Education (Group 1): Scores (X1) = 7, 6, 6, 4, 8, 3, 6, 5, 7, 4
- Number of observations () = 10
- Sum () =
- Mean () =
- Sum of squares () =
-
Business Education (Group 2): Scores (X2) = 5, 4, 5, 6, 3, 5, 4, 7, 3, 4
- Number of observations () = 10
- Sum () =
- Mean () =
- Sum of squares () =
-
Industrial Technical Education (Group 3): Scores (X3) = 8, 5, 6, 9, 7, 8, 9, 5, 6, 8
- Number of observations () = 10
- Sum () =
- Mean () =
- Sum of squares () =
-
Calculate the total number of observations, grand sum, and total sum of squares.
- Total number of observations () =
- Grand Sum () =
- Total Sum of Squares of all scores () =
Calculate the Correction Factor (CF).
Calculate the Total Sum of Squares (SST).
Calculate the Sum of Squares Between Groups (SSB).
Calculate the Sum of Squares Within Groups (SSW).
Calculate the Degrees of Freedom.
- Degrees of Freedom Between Groups () = (where is the number of groups)
- Degrees of Freedom Within Groups () =
Calculate
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