From this list select the best example of Bias in Sampling.
A. Testing the completeness of cooking a cake but the testers cannot agree on how to measure internal temperature
B. Testing the sharpness of a razor blade while the sample of 500 are from the same model razor
C. Testing the weight of participants at a wrestling event and only measuring those who finished second or better
D. Testing a hand-held GPS models for durability using samples only from Nokia Model P120
When the Inputs, X's, for your process are Normally Distributed about the Mean, the Outputs, Y's, will be Normally Distributed.
A. True
B. False
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
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
Time is always the metric on the horizontal scale of a(n) ___________ Chart.
A. Pareto
B. Xbar
C. Multi-Vari
D. NP
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
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
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 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
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