Level 4 Improvement Practitioner Six Sigma Part 1

Central Limit Theorem (CLT) is a concept that..

• states that the sample mean will always be equal to the population mean, regardless of the sample size or the variability within the sample

• states that the distribution of the sample of a large number of independent, identically distributed random variables approaches a normal distribution, regardless of the original distribution of the variables

• does not apply if the original distribution is not normal, and it only works for distributions that are symmetric and unimodal

• only applies to samples of size 30 or less, and it guarantees that the sample mean will be exactly normally distributed

What is the probability of rolling a total of 2 on two 6 sided dice

• 5.66%

• 16.67%

• 8.33%

• 2.78%

True or False - DESCRIPTIVE STATISTICS are statistical methods that summarise and describe the main features of a dataset. The provide simple summaries about the sample and the measures. They are used to present quantitative descriptions in a manageable form.

• True

• False

True or False - INFERENTIAL STATISTICS are techniques used to make generalisations, predictions, or inferences about a population based on a sample of data.

• False

• True

What am I - (S)

• Dataset

• Population

• Group

• Sample

What am I - (σ)

• Dataset

• Population

• Group

• Sample

The Continuous Improvement Circle is known as...

• DMAIC

• DMAIV

• DMADV

• DMIDV

The Continuous Improvement Circle is known as a reactive approach which version is where the methodology is used proactively...

• DMAIC

• DMAIV

• DMADV

• DMIDV

Which formula is considered to be the cornerstone of Six Sigma Methodology

• Y=g(X)

• Y=f(X)

• Y=r(X)

• Y=6(X)

There are two types of different...Choose two

• Continuous

• Independent

• Dependent

• Discrete