Year: 2021

OPTIONS R-Chart C-Chart P-Chart Y-Chart ANSWER R-Chart EXPLANATION An R-Chart must have at least 20 subgroups of observed values to judge whether a process is in control or not.

OPTIONS >1 <1 equal to 1 within 1 standard deviation of mean ANSWER >1 EXPLANATION An ideal process will have a value > 1 in a stable environment.

OPTIONS Outside control limits Within control limits Not enough information available Neither ANSWER Outside control limits EXPLANATION Outside control limits

OPTIONS Lower Cycle Length Lower Control Limit Lower Cycle Limit Lower Control Length ANSWER Lower Control Limit EXPLANATION LCL is Lower Control Limit. It is calculated as three standard deviations below the mean of a process.

OPTIONS If the data meets non-parametric testing conditions and if the data is divided into two independent samples If the data meets parametric testing conditions and if the data is divided into two independent samples If the data meets non-parametric testing conditions and if the...

OPTIONS Analysis of Variance Analysis of Variables Accuracy of Variance Analysis and Validation ANSWER Analysis of Variance EXPLANATION ANOVA stands for Analysis of Variance.

If men having high blood sugar problems are diagnosed with Diabetes, with the mean blood sugar level to be 150 and a standard deviation of 10, and if any individual with blood sugar greater than 125 can be diagnosed with Diabetes, what is the probability...

OPTIONS False Negative False Positive True Negative True Positive ANSWER False Positive EXPLANATION Type I Error is said to be committed when you reject the Null Hypothesis although it was actually true. For example, the movie was good, but you came out and said the...

ANSWER Alternate Hypothesis Not NULL Hypothesis Finite Hypothesis Fixed Hypothesis ANSWER Alternate Hypothesis EXPLANATION When the NULL hypothesis is rejected, Alternate Hypothesis is accepted. Alternate Hypothesis is considered the opposite of NULL hypothesis.

OPTIONS statistically validate if a sample mean does belong to the population. statistically validate if the means of two groups are the same or if they are significantly different. statistically validate if variances of two groups are the same or if they are different. All...