The Standard Deviation for the distribution of Means is called the ___________ and approaches zero as the sample size reaches 30.
A. Standard Error
B. Mean Deviation
C. Mean Spread
D. Mean Error
The Alpha level of a test (level of significance) represents the yardstick against which P-values are measured and the Null Hypothesis is rejected if the P-value is which of these?
A. Less than the Alpha level.
B. Greater than the Alpha level.
C. Greater than the Beta and Alpha level.
D. Less than one minus Alpha.
E. Less than the power of one minus Beta.
A 1-Sample t-test is used when you want to compare the Median of one distribution to a target value.
A. True
B. False
When a Belt is analyzing sample data she should keep in mind that 95% of Normally Distributed data is within +/- 2 Standard Deviations from the Mean.
A. True
B. False
Inferential Statistics is largely about Significance. There are both Practical and _______________ Significance to consider during an analysis of data in a Lean Six Sigma project.
A. Problematic
B. Impractical
C. Usable
D. Statistical
The Central Limit Theorem helps us understand the ___________ we are taking and is the basis for using sampling to estimate population parameters.
A. Analysis
B. Kurtosis
C. Risk D. Route
Hypothesis Tests determine the probabilities of differences between observed data and the hypothesis being solely due to _________ based on the result of the P-values.
A. Human error
B. Measurement error
C. Shift differences
D. Chance
It is a Type II error if we decide to reject the Null Hypothesis when it is actually true.
A. True
B. False
A Belt experienced an Alpha of .05 and a Beta of .10 and knew these are the most common risk levels when running a Statistical test.
A. True
B. False
For a Normal Distribution the Mean, Median and Mode are the same data point.
A. True
B. False
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