Free GAQM CLSSBB-001 Exam Dumps Questions & Answers

A Personal Trainer was assessing her workout class participants for their body fat content and had to include data for her analysis. One of the columns listed the range of weight of the people included in the studies. This required plotting a Histogram of the weight of the people assessed for their body fat content. While drawing the Histogram the x-axis contained a certain scale of data. Pick the scale of data that is appropriate for Histograms.

• A.  Ration Scale Data
• B.  Nominal Scale Data
• C.  Ordinal Scale Data
• D.  Interval Scale Data

Which statement(s) are correct about the DOE Factorial plot output here? (Note: There are 3 correct answers).

• A.  All factors had 2 levels in the experiment
• B.  Two factors were operated at 3 levels each
• C.  The cutting speed and cutting angle are at the low level for the least tool age achieved
• D.  The highest tool age was achieved with metal hardness at high level while keeping the cutting speed at the low level
• E.  The design indicated above is a 32 factorial design

From the variance F-test shown above, which of these conclusions is/are valid?

• A.  This test applies only to Normal Distributed data at 99 % confidence
• B.  There are not enough data points to make any statistical conclusions
• C.  The variance between the class score distribution is not significantly different
• D.  The variance between the class score distribution is significantly different
• E.  This test applies only to Non-normal Data at 99 % confidence

A ___________ problem in the Measurement System suggests that there is a lack of consistency in the measurement over time.

• A.  Bias
• B.  Linearity
• C.  Magnitude
• D.  Stability

Which statement(s) are most correct for the Regression Analysis shown here?

• A.  The air-fuel ratio explains most of the TurbineOutput variation
• B.  The Regression explains 50.8% of the process variation
• C.  This Simple Linear Regression explains 98+% of the process variation
• D.  This Multiple Linear Regression has four statistically significant independent variables