Multivariate Analysis and ANOVA T-test
Über den Vortrag
Der Vortrag „Multivariate Analysis and ANOVA T-test“ von Grey Campus ist Bestandteil des Kurses „Six Sigma Green Belt Training“. Der Vortrag ist dabei in folgende Kapitel unterteilt:
- Multi-Variate Studies
- ANOVA
- One-Way ANOVA
- T-Tests
- Summary
Quiz zum Vortrag
The Graphical analysis of 2 sample t test is
- Box Plot
- Individual Value Plot
- None of them
ANOVA stands for
- Analysis of Variance
- Analysis of Variation
- Analyze Variance
ANOVA is used when
- There are more than two levels
- There are two levels
- There are at most two levels
In Minitab ANOVA is found under
- Stat
- Graph
- File
- Calc
In ANOVA the graphs for results are
- Individual Value Plot
- Box Plot
- None of them
ANOVA unstacked is
- Each level in different column
- All levels in same column
- Same as ANOVA Stacked
CHI Square test is also known as
- Test of Independence
- Test of Variance
- Test of Interdependence
- Test of Dependence
CHI Square test is used
- Y is independent of X
- Y is interdependent on X
In Chi Square Test
- Y discrete X discrete
- Y continuous X discrete
- Y continuous X continuous
In Chi Square Test the Null Hypothesis is written as
- Y is independent of X
- Y is dependent on X
In Chi Square Test the Alternate Hypothesis is written as
- Y is dependent on X
- Y is independent of X
In Minitab Chi Square is found under Stat in
- Tables
- Quality Tools
- Graphical Analysis
- DOE
Moods Median Test is used when
- Data is non normal
- Data is normal
Moods Median Test is used when
- Data has more than two levels
- Data has two or more levels
- Data has one level
In Minitab Moods Median Test is found under
- Non Para metrics
- Quality Tools
- Tables
- DOE
Non Para metrics signifies
- No assumption of any population distribution
- Population Distribution is normal
Test of Equal Variance is used
- Study impact of X variable on variation in Y
- Study if levels of X variables have equal variation
- None of them
Test of Equal Variance is used
- Y continuous X discrete
- Y continuous X continuous
- Y discrete X discrete
If data is normal which test should be considered for test of equal variance?
- F test
- Levenes Test
If data is non normal which test should be considered for test of equal variance
- Levenes Test
- F test
Dozent des Vortrages Multivariate Analysis and ANOVA T-test
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