N Mean StDev SE Mean A supplier 12 0.151167 0.000835 0.00024 B supplier 12 0.15250 0.00198 0.00057 D

[answerhappygod]

N Mean StDev SE
Mean
A
supplier 12 0.151167 0.000835 0.00024
B
supplier 12 0.15250 0.00198 0.00057
Difference = μ (A supplier) -
μ (B supplier)
Estimate for
difference: -0.001333
95% CI for
difference: (-0.002618, -0.000048)
T-Test of difference = 0 (vs
≠): T-Value = -2.15 P-Value = 0.043 DF =
22
Both use Pooled StDev =
0.0015
A. The sample size of 40 is
too small for arriving any conclusion.
B. The process is out
of control because there are several points near the upper bound of
95% CI.
C. There are some
outliers, therefore the data is not normally distributed.
D. The length data is
normally distributed since the p value of AD is 0.754.
E. None of the above
is correct.
Model Summary
S R-sq R-sq(adj) R-sq(pred)
0.262888 84.76% 82.42% 77.49%
Coefficients
Term Coef SE
Coef T-Value P-Value VIF
Constant 15.664 0.981 15.96 0.000
machine operating
hour 0.08316 0.00997 8.34 0.000 1.00
operator training
hour -0.0720 0.0392 -1.84 0.089 1.00
Regression
Equation
Defect rate = 15.664
+ 0.08316 machine operating hours
- 0.0720 operator training hours