6西格瑪綠帶培訓(英文版)(ppt 277頁)

6西格瑪綠帶培訓內容摘要：
Probability Theory
Probability is the chance for an event to occur.
Statistical dependence / independence
Posterior probability
Relative frequency
Make decision through probability distributions
(i.e. Binomial, Poisson, Normal)
Central Limit Theorem
Regardless the actual distribution of the population, the distribution of the mean for sub-groups of sample from that distribution, will be normally distributed with sample mean approximately equal to the population mean.
Set confidence interval for sample based on normal distribution.
A basis to compare samples using normal distribution, hence making statistical comparison of the actual populations.
It does not implies that the population is always normally distributed.
(Cp, Cpk must always based on the assumption that 流程is normal)
The 流程of interpreting the sample data to draw conclusions about the population from which the sample was taken.
Confidence Interval
(Determine confidence level for a sampling mean to fluctuate)
T-Test 和F-Test
(Determine if the underlying populations is significantly different in terms of the means 和variations)
Chi-Square Test of Independence
(Test if the sample proportions are significantly different)
Correlation 和Regression
(Determine if 關係hip between variables exists, 和generate model equation to predict the outcome of a single output variable)

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