CSSBB Online Practice Questions and Answers

Control Charts were developed by Dr. Shewhart to track data over time. To detect Special Cause variation the Control Charts use which of these?

A. Data shift analysis

B. Outlier analysis methods

C. Center Line and Control Limits

D. None of the above

What conclusion is most correct about the Experimental Design shown here with the response in the far right column?

A. No factor has enough statistical confidence greater than 95% to have an impact on the response rate

B. Constant, Adv and Bev are the only factors statistically affecting the response rate with 95% confidence or more

C. If the Adv is increased from the low level to the high level, the response rate increases

D. The response level is statistically concluded to only need the Adv and Bev factors set at the low level to get the largest response rate

E. This design does not have enough experimental runs to conclude anything as evidenced by the lack of P-values in the MINITABTM output

Screening experiments are the proper choice when a Belt is faced with the situation of highly Fractional Factorial Designs.

A. True

B. False

Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).

A. The dependent variable is the outside temperature

B. The relationship between outside temperature and number of customers per hour is a Linear Regression

C. The dashed lines indicate with 95% confidence where all of the process data should fall between

D. The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line

E. The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C

If a process has subgroups for Variable data and the process runs for a long period of time, then the best pair of SPC Charts to use would be an Xbar and _________.

A. NP Chart

B. Individuals Chart

C. R Chart

D. C Chart

A Belt has determined that the inventory of repair parts at a rework station can be reduced by 45%. According to Cost of Poor Quality (COPQ) definitions inventory reduction would be considered _______________.

A. Soft Savings

B. COPQ efficiency

C. Median Savings

D. Hard Savings

Production Line 1 is able to complete 500 units per shift. Production Line 2 is able to finish 1,500 units per shift. Production Line 2 is 3 times faster than Production Line 1. This analysis is an example of ______________ Scale Data.

A. Nominal

B. Ratio

C. Ordinal

D. Interval

Which statement is NOT correct about the Fitted Line Plot shown here?

A. The independent variable is the reactant

B. If the reactant was 10 units, with 95% confidence we would expect a minimum yield of 148 units

C. With at least 95% confidence, we can expect less than 10 units of Yield when the reactant is at a value of 1

D. A reactant value between 6 and 8 units yields around 40 to 60

E. When the reactant increases, the expected yield would increase

A statistical test or Hypothesis Test is performed to reject or fail to reject a stated hypothesis and it converts the Practical Problem into a Statistical Problem.

A. True

B. False

Calculate the Rolled Throughput Yield of this process using this data.

Data: unit input: 1215, unit output: 1180, defects repaired: 184, scrap: 42

A. 80.85%

B. 81.40%

C. 82.23%

D. 84.96%