Box Plot and Hypothesis Testing
Über den Vortrag
Der Vortrag „Box Plot and Hypothesis Testing“ von Grey Campus ist Bestandteil des Kurses „Six Sigma Green Belt Training“. Der Vortrag ist dabei in folgende Kapitel unterteilt:
- Box Plot
- What is Hypothesis Testing?
- Basics Concepts
- Types of Hypothesis
- Hypothesis Testing Terminology
Quiz zum Vortrag
Which of the following is an objective of a histogram?
- It’s a frequency plot which finds out the number of occurrences of an event
- It’s a cumulative frequency plot which finds out the number of occurrences of an event
- Both are true
- None of them
In Minitab Histogram is found under the menu
- Graph
- Stat
- Calc
- File
If the histogram shows multiple peaks you would conclude
- Mixture of multiple processes?
- Wrong data collection?
- Outliers
- None of them
Pareto Rule states that
- 80% of problems are due to 20% causes?
- 80% of causes are due to 20% problems
- 80% of work is done by 20% of people
- None of them
In a Six Sigma Project Pareto is used in
- Define Phase
- Analyze Phase
- None of them
In Minitab Pareto is found under the menu
- Stat
- Graph
- Calc
- File
Outlier in a Box Plot signifies
- Any value beyond the upper or lower limit
- Upper Limit
- Lower Limit
- None of them
Top area of a Box Plot is
- Third Quartile
- First Quartile
- Second Quartile
- None of them
Center line of the box plot is
- Second Quartile
- Median
- None of them
P value is defined as
- Actual probability of being wrong
- Risk taken in saying null hypothesis is wrong
- Risk taken in saying alternate hypothesis is wrong
- None of them
During Hypothesis testing if we get a p value as less than 0.05 then
- Reject the Null Hypothesis
- Accept the alternate hypothesis
- None of them
During Hypothesis testing if we get a p value as greater than 0.05 then
- Accept the Null Hypothesis
- Reject the Alternate Hypothesis
- None of them
During Hypothesis testing if we get a p value as 0.05 then
- Accept the Null Hypothesis
- Reject the Alternate Hypothesis
- None of them
2 Sample T test is used when
- Variable under consideration has two levels
- Variable under consideration has at least two levels
- Variable under consideration has at most two levels
- None of them
2 Sample T test is used when
- Y continuous and X discrete
- Y continuous and X continuous
- Y discrete and X discrete
- None of them
2 Sample T test is used when
- We want to check equality of means
- We want to check equality of medians
- We want to check equality of Mode
- None of them
In 2 sample t test the Null hypothesis is
- Mean of Level1=Mean of Level 2
- Mean of Level1 not equal to Mean of Level 2
- Median of Level 1 = Median of Level 2
- None of them
In 2 sample t test the Alternate hypothesis is
- Mean of Level1 not equal to Mean of Level 2
- Mean of Level1=Mean of Level 2
- Median of Level 1 = Median of Level 2
- None of them
When we consider 95% confidence in our hypothesis results
- Alpha value is 5%
- Alpha value is 0.05
- None of them
In Minitab 2 sample t test is found under
- Stat
- Graph
- File
- Calc
Dozent des Vortrages Box Plot and Hypothesis Testing
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