Some of the sources for different types of error that can be quantified using Statistical Analysis are which of these?
A. Error in sampling
B. Bias in sampling
C. Error in measurement
D. All of the above
From the variance F-test shown above, which of these conclusions is/are valid?
A. The variance between the class score distribution is not significantly different
B. This test applies only to Normal Distributed data at 99 % confidence
C. The variance between the class score distribution is significantly different
D. There are not enough data points to make any statistical conclusions
Time is always the metric on the horizontal scale of a(n) ___________ Chart.
A. Pareto
B. Xbar
C. Multi-Vari
D. NP
On a _________________ one can see a pattern from the graphed points such that conclusions can be drawn about the largest family of Variation.
A. Multi-Vari Chart
B. Weighted Scale
C. X-Y Matrix
D. Poisson Chart
For a batch manufacturing process, while assessing short term process variation, which variation category (ies) should one need to focus on? (Note: There are 2 correct answers).
A. Variation within consecutive pieces
B. Variation among consecutive batches
C. Variation among groups of pieces
D. Variation among the completed product
To be an effective Lean Six Sigma practitioner one must understand the difference between ___________________________.
A. ANOVA and the Analysis of Variance
B. Nonparametric tests and tests of Non-normal Data
C. Practical and Statistical significance
D. F-test and test of variances of 2 samples
The validity of the decision made with Hypothesis Testing is dependent upon all of the following except ______________________.
A. Beta risk
B. Range of data
C. Alpha risk
D. Sample size
To establish a sample size that will allow the proper overlap of distributions we do which of these?
A. Multiply Alpha by 1.75
B. Calculate one minus Beta
C. Calculate Beta plus 2
D. Multiply Beta by 3
When conducting a Hypothesis Test using Continuous Data the proper sample size is influenced only by the extent to which we need to assess a Difference to be detected but not the inherent variation in the process.
A. True
B. False
Statistical Difference is the magnitude of difference or change required to distinguish between a true difference, brought about by change or improvement, and one that could have occurred by chance.
A. True
B. False
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