Analysis Tools
About the Lecture
The lecture Analysis Tools by Grey Campus is from the course Six Sigma Green Belt Training. It contains the following chapters:
- 5-WHY Analysis
- Scatter Plots
- Regression Analysis
- Brainstorming
- Fish Bone
Included Quiz Questions
When the number of levels is more than two which test should be used for Test of equal variance
- Bartletts Test
- F test
- Levenes Test
- None of them
Regression test is also known as
- Fitted Line Plot
- Dotted Line Plot
- Both a and b is true
- None of them
For Regression equation
- Y continuous X continuous
- Y continuous X discrete
- Y discrete X discrete
- None of them
Regression Test is used when
- Explain the behaviour of output Y by behaviour of input X
- A Mathematical equation to explain Y by X
- None of them
The Null Hypothesis for Regression is written as
- X is not a Predictor of Y
- X is a Predictor of Y
- None of them
The Alternate Hypothesis for Regression is written as
- X is a Predictor of Y
- X is not a Predictor of Y
- Both are true
- Both are false
In Minitab Fitted Line Plot is found under
- Regression
- ANOVA
- DOE
- Quality Tools
The Analyze phase of six sigma concentrates on
- Shortlist critical variables that have an impact on Y
- Gather data
- Validate Process Capability
- None of them
Graphical Analysis is Important as
- It gives insight into the data
- A mandatory step in six sigma project
- Both are true
- None of them
In a Box Plot if Median is at the center of box and whiskers are equally spread it means
- Data is Normal
- Data is non normal
- Data is Skewed
X is
- Independent variable
- Dependent variables
In a Scatter plot as X increases Y increases the correlation is said to be
- Positive Correlation
- Negative Correlation
- No Correlation
In a scatter plot as X increases Y Decreases the correlation is said to be
- Negative Correlation
- Positive Correlation
- No Correlation
Basic Assumptions for ANOVA are
- Data under consideration are from normal distributions
- Data under consideration are from non normal distributions
If no correlation exists between two variables
- With a change in X variable we will not be able to predict Y
- We look at interaction effects
Which of the following statements is not true
- Confidence interval is always symmetrical
- As sample size increases confidence interval decreases
Given Rsq as 0.95. Which of the following statements is true?
- 95% of variability can be explained by the regression model
- Data has a positive correlation
Which of the following statements is true?
- Rsq is smaller absolute value than r
- r is always positive
One way ANOVA implies the tools deals with
- Multiple Levels having normal distribution
- Analysis of Means
- One Level
One of the assumptions of null hypothesis is
- Variables are independent
- Variables are dependent
When the number of levels is more than two which test should be used for Test of equal variance
- Bartletts Test
- F test
- Levenes Test
- None of them
Regression test is also known as
- Fitted Line Plot
- Dotted Line Plot
- Both a and b is true
- None of them
For Regression equation
- Y continuous X continuous
- Y continuous X discrete
- Y discrete X discrete
- None of them
Regression Test is used when
- Explain the behaviour of output Y by behaviour of input X
- A Mathematical equation to explain Y by X
- None of them
The Null Hypothesis for Regression is written as
- X is not a Predictor of Y
- X is a Predictor of Y
- None of them
The Alternate Hypothesis for Regression is written as
- X is a Predictor of Y
- X is not a Predictor of Y
- Both are true
- Both are false
In Minitab Fitted Line Plot is found under
- Regression
- ANOVA
- DOE
- Quality Tools
The Analyze phase of six sigma concentrates on
- Shortlist critical variables that have an impact on Y
- Gather data
- Validate Process Capability
- None of them
Graphical Analysis is Important as
- It gives insight into the data
- A mandatory step in six sigma project
- Both are true
- None of them
In a Box Plot if Median is at the center of box and whiskers are equally spread it means
- Data is Normal
- Data is non normal
- Data is Skewed
X is
- Independent variable
- Dependent variables
In a Scatter plot as X increases Y increases the correlation is said to be
- Positive Correlation
- Negative Correlation
- No Correlation
In a scatter plot as X increases Y Decreases the correlation is said to be
- Negative Correlation
- Positive Correlation
- No Correlation
Basic Assumptions for ANOVA are
- Data under consideration are from normal distributions
- Data under consideration are from non normal distributions
If no correlation exists between two variables
- With a change in X variable we will not be able to predict Y
- We look at interaction effects
Which of the following statements is not true
- Confidence interval is always symmetrical
- As sample size increases confidence interval decreases
Given Rsq as 0.95. Which of the following statements is true?
- 95% of variability can be explained by the regression model
- Data has a positive correlation
Which of the following statements is true?
- Rsq is smaller absolute value than r
- r is always positive
One way ANOVA implies the tools deals with
- Multiple Levels having normal distribution
- Analysis of Means
- One Level
One of the assumptions of null hypothesis is
- Variables are independent
- Variables are dependent
Author of lecture Analysis Tools
Grey Campus
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