Which of the follow is a visual method to brainstorm root causes?

TS BB Day 4 Quiz

Quiz
•
Professional Development
•
Professional Development
•
Hard

Wee Pin Lim
FREE Resource
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Excel Spreadsheet
Minitab
MSA
Fishbone Diagram
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of Multi-Vari Chart?
To brainstorm root causes
To increase the number of solutions
To reduce a large number of root causes
To increase number of project ideas
3.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Which are used in the calculation of Risk Priority Number (RPN) in FMEA? Multiple Correct Answers
Severity of effects
Occurrence ( probability of failure)
Likelihood of Detection
Project Risk Index
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which is type 1 error (Alpha risk) in hypothesis testing?
Reject null hypothesis when it is actually true
Accept null hypothesis when it is actually false.
Risk in determining sampling size
Risk in determining Project Y
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main purpose of normality test?
To see whether your stakeholder is normal.
To check if our data set is normally distributed.
To check where the results fall with normal levels.
To check whether the root cause is normal
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statistical tool do you use when both your project Y and X data are discrete?
ANOVA
Regression
2 Sample t test
Chi-Square ( Test of Proportions)
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What statistical conclusions do you draw if P value is low (less than 0.05)?
Accept Null Hypothesis at 95% confidence level
Reject Null Hypothesis at 95% confidence level
Reject Null Hypothesis at 90% confidence level
Accept Null Hypothesis at 90% confidence level
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When is simple linear regression used?
To examine whether you know statistics
To examine the relationship between 2 continuous variables ( Y & X)
To compare 2 sets of continuous data
To check whether regression is suitable for statistical analysis.
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