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ANOVA: productivity of four operators

Short answer

One-way ANOVA: F = 0.615 with df (3,12). F < critical 3.490, so fail to reject H0; the difference in average productivity due to operators is not significant.

Four trained operators works on production of new product. The productivity of the operators are recorded as below:

Operator 110121416
Operator 212111316
Operator 314151211
Operator 416101717
Using ANOVA, test whether the difference in average productivity due to the difference in operators are significant. Use α = 5%

One-way ANOVA is used because the operators are one factor with four levels.

  1. H0: μ₁ = μ₂ = μ₃ = μ₄ (average productivity of the four operators is the same) H1: at least one operator's mean differs (F-test, right-tailed)
  2. Level of significance: α = 0.05
  3. Computations:
Operator 1   n=4  total=52  mean=13.0000
Operator 2   n=4  total=52  mean=13.0000
Operator 3   n=4  total=52  mean=13.0000
Operator 4   n=4  total=60  mean=15.0000

Grand total T = 216,  N = 16
Correction factor CF = T²/N = 216²/16 = 2916.0000
Total SS  = Σx² − CF = 3006.0000 − 2916.0000 = 90.0000
SS between = Σ(Ti²/ni) − CF = 2928.0000 − 2916.0000 = 12.0000
SS within  = Total SS − SS between = 78.0000
  1. ANOVA table:
SourceSSd.f.MSF
Between operators12.000034.00000.615
Within (error)78.0000126.5000
Total90.000015
  1. Critical value: F(0.05; 3, 12) = 3.490. Reject H0 if F > 3.490.
  2. Decision: the calculated value falls in the acceptance region (p-value = 0.6181), so fail to reject H0.

Conclusion: the difference in average productivity due to operators is not significant.

✓ Answer checked by Claude Sonnet 5.5

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