Since Normality is required if we intend to use the data collected as a predictive tool. To test for Normality of data we must determine if the P-value is ___________.
A. Equal to 0.05
B. Less than 0.05
C. Greater than 0.05
D. Greater than 0.5
The Normal Distribution is considered to be the most important distribution in statistics and, among other things is defined as having a total area under the curve of 1, is mounded and symmetrical and the Mean, Median and Mode are _____________.
A. All evenly divisible by 3
B. Twice the Standard Deviation
C. Within 10% of each other
D. The same number
Some of the sources for different types of error that can be quantified using Statistical Analysis are ___________________.
A. Error in sampling
B. Bias in sampling
C. Error in measurement
D. All of these answers are correct
On a _________________ a Belt screens variables, or various inputs, to analyze their relative impact on the output of concern.
A. X-Y Matrix
B. Weighted Scale
C. Multi-Vari Chart
D. Poisson Chart
For a Normal Distribution as samples size increases the Range in Mean and Standard Deviation decrease relative to the Mean and Standard Deviation of the population.
A. True
B. False
When the Inputs, X's, for your process are Normally Distributed about the Mean, the Outputs, Y's, will always be Normally Distributed.
A. True
B. False
Time is always the metric on the horizontal scale of a(n) ___________ Chart.
A. Pareto
B. Xbar
C. Multi-Vari
D. NP
To properly analyze the variables impacting the output of a process we need to collect data that represents at least 80% of the variation in the process and assure ourselves we are collecting data from all three types of variation which are _______________.
A. Within, Between and Temporal
B. Within, Between and Temporary
C. Without, Above and Below
D. Induced, Natural and Unavoidable
From the variance F-test shown above, which of these conclusions is/are valid?
A. The variance between the class score distribution is significantly different
B. The variance between the class score distribution is not significantly different
C. This test applies only to Normal Distributed data at 99 % confidence
D. This test applies only to Non-normal Data at 99 % confidence
E. There are not enough data points to make any statistical conclusions
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. F-test and test of variances of 2 samples
D. Practical and Statistical significance
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