Home » Certification Exams Questions » A normality test done by a Black Belt reveals that the p-value is 0.049. The significance level assumed for testing is 0.05. What should the Black Belt infer?

A normality test done by a Black Belt reveals that the p-value is 0.049. The significance level assumed for testing is 0.05. What should the Black Belt infer?

OPTIONS

The data is normal bar one or two exceptions
The data may not follow a normal distribution
The Box Cox transformation should be used to check the fit
The data may have to be subjected to further tests.

ANSWER

The data may not follow a normal distribution

EXPLANATION

By following standard rejection conditions.

«Process conditions are given below: USL = 32, LSL = 29, Target = 30.5, Process Mean = 31.8. A Black Belt’s comment on such a process after all investigating all pre conditions is

A normality test on distribution identifications reveals the below findings in a summary. These only have significant findings. What should the Black Belt do? Distribution p-value Normal 0.024 3-Parameter Weibull 0.080 Log-normal 0.052 Box Cox 0.460»