Summary: Complete the project charter
Questions:
- How do you know there is a problem?
- What specific measures indicate there is a problem?
- What will success look like? What is the scope?
- Who is on the team and what are their roles and responsibilities?
What is your project plan?
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Define Step 2
Summary: Institutionalize the solutions
Questions:
- What is the plan to implement the solutions?
,- Who is doing what?
- How will you track process performance?
- What action will be taken if the problem returns?
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Control step 1
Defects - An error in a processed item
Units - item being processed
Defectives - Processed units that possess an established number of "defects." (i.e. 3/8
defects on a unit.)
Opportunities for errors
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DUDO
Helps understand whether there exists statistically significant difference between data
sets. Can detect the following:
Using continuous data:
- Difference in Average (Mean)
- Difference in Median
- Difference in Variation
Discrete data:
Difference in Proportion Defective
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, Hypothesis testing
Null Hypothesis (H0)
- Always supports the status quo
- Opposite of alternate hypothesis
- Always includes the equality sign
Alternative Hypothesis (H1 or Ha)
- Always what you want to prove.
Always write the Null hypothesis before the alternate hypothesis, even if you do the
alternate first.
Examples:
Scenario: Not equal to
H0: A = B
H1: A ≠ B
Scenario: Greater than
H0: A ≤ B
H1: A > B
Scenario: Less than
H0: A ≥ B
H1: A < B
Give this one a try later!
, Types of hypotheses
1. Analyze your process
2. Know your competition & industry leaders
3. Study them & incorporate the best of the best
4. Gain superiority
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Four steps of benchmarking
1. One point or more falls outside of the control limits
2. Seven consecutive points steadily increasing or decreasing.
3. Eight consecutive points on one side of the average.
4. Fourteen consecutive points alternate up and down.
5. 2/3 consecutive data points in zone A or beyond.
6. 4/5 consecutive data points in a row in zone B or beyond
7. 15 consecutive points in zone C
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7 indicators of an out of control process
Summary: Understand customer and business requirements
Questions:
What does the problem look like from your customer's perspective?
Questions:
- How do you know there is a problem?
- What specific measures indicate there is a problem?
- What will success look like? What is the scope?
- Who is on the team and what are their roles and responsibilities?
What is your project plan?
Give this one a try later!
Define Step 2
Summary: Institutionalize the solutions
Questions:
- What is the plan to implement the solutions?
,- Who is doing what?
- How will you track process performance?
- What action will be taken if the problem returns?
Give this one a try later!
Control step 1
Defects - An error in a processed item
Units - item being processed
Defectives - Processed units that possess an established number of "defects." (i.e. 3/8
defects on a unit.)
Opportunities for errors
Give this one a try later!
DUDO
Helps understand whether there exists statistically significant difference between data
sets. Can detect the following:
Using continuous data:
- Difference in Average (Mean)
- Difference in Median
- Difference in Variation
Discrete data:
Difference in Proportion Defective
Give this one a try later!
, Hypothesis testing
Null Hypothesis (H0)
- Always supports the status quo
- Opposite of alternate hypothesis
- Always includes the equality sign
Alternative Hypothesis (H1 or Ha)
- Always what you want to prove.
Always write the Null hypothesis before the alternate hypothesis, even if you do the
alternate first.
Examples:
Scenario: Not equal to
H0: A = B
H1: A ≠ B
Scenario: Greater than
H0: A ≤ B
H1: A > B
Scenario: Less than
H0: A ≥ B
H1: A < B
Give this one a try later!
, Types of hypotheses
1. Analyze your process
2. Know your competition & industry leaders
3. Study them & incorporate the best of the best
4. Gain superiority
Give this one a try later!
Four steps of benchmarking
1. One point or more falls outside of the control limits
2. Seven consecutive points steadily increasing or decreasing.
3. Eight consecutive points on one side of the average.
4. Fourteen consecutive points alternate up and down.
5. 2/3 consecutive data points in zone A or beyond.
6. 4/5 consecutive data points in a row in zone B or beyond
7. 15 consecutive points in zone C
Give this one a try later!
7 indicators of an out of control process
Summary: Understand customer and business requirements
Questions:
What does the problem look like from your customer's perspective?