FREE Lean Six Sigma Green Belt Assessment Questions and Answers

Question 1

There is a ____ if the correlation coefficient is between 0.5 and 1.

Accepted Answer

Positive correlation

Answer

A correlation coefficient (r) measures the strength and direction of a linear relationship between two variables. If the coefficient is between 0.5 and 1, it indicates a positive correlation. This means that as one variable increases, the other variable also tends to increase, and the relationship is considered strong.

Question 2

What is the most accurate way to define a hypothesis test?

Accepted Answer

A tool for deciding if Statistical Significance exists between data samples

Answer

A hypothesis test is a statistical method used to determine if there is sufficient evidence in a sample to draw conclusions about a population. Its most accurate definition is a tool for deciding if statistical significance exists between data samples, helping to ascertain whether observed differences or relationships are likely real or due to random chance.

Question 3

Which hypothesis test, however utilized when the data set is non-normal, is comparable to the one sample t-test?

Accepted Answer

1- sample sign

Answer

The 1-sample t-test is a parametric test used for comparing a sample mean to a hypothesized population mean when data is normally distributed. When the data set is non-normal, the 1-sample sign test is its non-parametric equivalent. This test compares the median of a single sample to a hypothesized value without assuming a normal distribution.

Question 4

Who is regularly referred to as the "Father of quality control"?

Accepted Answer

W. Edwards Deming

Answer

W. Edwards Deming is widely regarded as the 'Father of Quality Control.' His pioneering work in statistical process control and management philosophy, particularly his 14 Points for Management, significantly influenced the global quality movement and helped revolutionize industrial practices, especially in post-war Japan.

Question 5

An example of a typical linear regression equation is

Accepted Answer

Y = a + bx

Answer

The equation Y = a + bx is a typical representation of a simple linear regression equation. In this model, Y is the dependent variable, X is the independent variable, 'a' represents the Y-intercept (the value of Y when X is 0), and 'b' represents the slope of the line (the change in Y for a one-unit change in X).

Lean Six Sigma Green Belt Certification Practice Test

Lean Six Sigma Green Belt Certification Practice Test

FREE Lean Six Sigma Green Belt Assessment Questions and Answers