ICBB Exam Dumps - IASSC Lean Six Sigma – Black Belt

True

False

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

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

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

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

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

X-Y Matrix

Baldridge Assessment

Analysis of Variance (ANOVA)

Critical X's Definition

With 95% confidence, we cannot conclude if the samples are from three Normal Distributions

With greater than 95% confidence, we conclude the samples are from Non-normal Distributions

If we wanted to compare the Central Tendencies of these three samples we would use the one way ANOVA test

If we wanted to compare the Central Tendencies of these three samples we could use Mood’s Median test

If we wanted to compare the Central Tendencies of all three samples we could use the Mann-Whitney test

The dependent variable is the outside temperature

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

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

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

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

True

False

Histograms

SPC Charts

NP Charts

Pareto Charts

Poke-Yoke

Standard Operating Procedures

Kaizen

5S the work area