Quality Tools 2 Flashcards

1
Q

Define A Quality Planning project:

A

A QPP focuses on planning (or replanning) product and process features

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2
Q

Define Quality control project

A

..analyzes a collection of sporadic problems

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3
Q

Define Quality improvement project

A

addresses the deficiencies dimensions of quality

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4
Q

What are the five tasks of quality improvement?

A
1 Verifying the project need and mission
2 Diagnosing the causes
3 Providing a remedy and proving it's effects
4 Dealing with resistance to change
5 Insituting controls and hold the gains
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5
Q

What are the three fundamental aspects of any quality improvement project?

A

1 Project by project
2 Based on Facs or Data
3 Projects are held in teams

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6
Q

How to select the vital Xs (causes)?

A
Process analysis (i.e. graphical)
Process understanding (i.e. cause-and effect diagram)
3 Data analysis of Xs and Ys (Process mapping)
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7
Q

What are the magnificent seven diagrams according to Montgmorey?

A
1 Histograms
2 Check cheet
3 Pareto chart
4 Cause-and-effect diagram (Fishbone)
5Defect concentration diagram
6 Scatter diagrams
7 Control charts
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8
Q

What is the main objective of a Pareto chart?

A

Distinct the vital few causes from the useful many

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9
Q

What is the central limit theorem:

A

The averages of samples have approximately normal distributions.
Bigger sample sizes means “narrower” distribution curves.

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10
Q

What is the objective of hypothesis testing?

A

A hypothesis is a statement about a population that can be tested by collecting a random sample.
The result of the test is of the affirmative/negative type with the possibility of error.

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11
Q

What are the six steps for hypothesis testing?

A

1 Definition of the hypothesis
2 Identification of the test statistic and characterization to its distribution
3 specification of the significance level of the test
4 Determine the critical value for decision making
5 Calculation of the test statistic using samples
6 Decision making

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12
Q

Reject H0 but H0 true

A

alpha error

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13
Q

Fail to reject H0 but H0 false:

A

beta-error

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14
Q

Reject H0, H0 false:

A

correct decision–> Power

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15
Q

How to calculate the power of a test?

A

1- beta error

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16
Q

What is the definition of power and what happens to the power, if the sample size is bigger?

A

Power is a very descriptive and concise measure of the sensitivity of a statistical test, where by sensitivity we mean the ability of the the test to detect differences.
Bigger sample –> bigger power.

17
Q

What are the seven steps of the data analysis used in the tripcar case?

A

1 Identify Types of data
2 Characterize the output variable
3 Characterize the input variables
4 What input variables show differences regarding output variable
5 Are these differences statistically significant?
6 Look at the problem from different angels
7 Do the right comparisons