In: Statistics and Probability
Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST = 10,790; SSTR = 4,550.
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
Treatments | |||||
Error | |||||
Total |
Given:
Number of treatmnet (t) = 3
Total sample size (n) = 30 employees
10 workers each
SST = 10,790
SSTR = 4550
ANOVA TABLE:
Source of Variation | df | SS | MSS | F | P-value |
Treatment | t-1 = 3-1 = 2.00 | 4550 | =2275 | 9.84 | 0.0006 |
error | =n-t=30-3 = 27 | =10790-4550 = 6240 | 231.1111111 | ||
Total | 29.00 | 10790 |
df_Treatment = t-1 = 3-1 = 2
df_error = n-t = 30-3 = 27
df_total = n-1 = 30-1 = 29
SS_Error = SS_Total - SS_Treatment
SS_Error = 10790 - 4550
SS_Error = 6240
MS_Treatment = SS_Treatment - df_Treatment
MS_Treatment = 4550 / 2
MS_Treatment = 2275
MS_Error = SS_Error / df_Error
MS_Error = 6240 / 27
MS_Error = 231.111
Test statistic:
F = MS_Treatment / MS_Error
F = 2275 / 231.11
F = 9.84
b)
P-value = 0.0006
ANSWER: A
less than 0.01
P-value < , i.e. 0.0006 < 0.05, That is Reject Ho at 5% level of significance.
Conclusion:
ANSWER: A
Conclude not all means of the three assembly methods are equal