Analyze phase Flashcards

1
Q

What is the analyze phase about?

A

to determine the impact of the inputs to our process

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2
Q

Tool applications in the analyze phase

A

Multi-Vari Chart, Inferential statistics, hypothesis test

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3
Q

Name the 3 sources/causes of variation

A

Positional, cyclical, temporal

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4
Q

Define positional

a. within subgroup
b. between subgroups
c. overtime

A

A within subgroup ( individual sample)

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5
Q

Temporal

a. within subgroup
b. between subgroups
c. overtime

A

C overtime (time to time) or shift to shift. day to day, week to week

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6
Q

Cyclical

a. within subgroup
b. between subgroups
c. overtime

A

B between subgroup ( between subgroups)

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7
Q

Multi-Vari Chart is a analyze tool that displays patterns of ____

A

variation

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8
Q

T/F

Multi-Vari chart is only used to identify Temporal variations

A

F

Used to identify X/ and families of variations of positional, temporal, and cyclical

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9
Q

Multi-Vari Chart are used to analyze ____ of categorical/discrete inputs _____ output

A

Effects; Continuous

Example: effect on work shifts, impact of operators, setting, or material on Ys,
Effect of noise factors on Y’s

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10
Q
Causes of non-normal distributions.... 
Skewness
Kurtosis
Multiple modes
Granularity

These dont give solutions but more of a ____ cause information

A

They give root cause information

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11
Q

Why might Skewness occur? (left/ negative) (right/positive)

A

Natural limits, artificial limits/sorts, mixtures of data sets, nonlinear relationships, interaction of 2 inputs, nonrandom patterns across time (AGING, WEAR)

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12
Q
Skewness for a normal distribution is 
A. 5
B. 7
C. 1.5
D. 0
A

D. 0

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13
Q

how many types of kurtosis?

A

3:
Mesokurtic- 0
Platykurtic- negative
Leptookurtic- positive

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14
Q

How many types of kurtosis?

A

3:
Mesokurtic- 0
Platykurtic- negative
Leptookurtic- positive

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15
Q

Dot plot can show what data?

A

granularity

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16
Q

_____ variance is the result of differences in the shape of the distribution with some special cause

17
Q

what causes granularity?

  • measurement system -resolution
  • categorization data
A

level of detail in a set of data

18
Q

_____ variance is the result of differences in the shape of the distribution with some special cause
A. Equal
B. Unequal

19
Q

used to make decision about how to adjust key process variables based on sample data not population data

A

Central Limit Therorem CLT

20
Q

standard deviation for the sampling distribution of means is called

A

standard error of the mean

21
Q

t/f

the error decreases when the sample size increases

22
Q

T/F

The error decreases when the sample size increases

23
Q

what is the goal of six sigma projects?

A

improve process capability to meet customer requirement by moving the process mean or reducing the standard deviation

24
Q

Helps us make fact based decisions ______ testing

A

Hypothesis

25
purpose of hypothesis testing is to integrate the _____ with the Voice of the business
Voice of the process to make data based decisions to resolve problems, avoid high costs of experimental efforts by using existing data
26
factors that influence decision making
past experience Current need Evidence Risk
27
____ general statement, predetermined theory, or an assumption about the nature of or relationships between variables
hypothesis
28
What is null hypothesis?
generally assumed to be true unless sufficient evidence is found to contradict Ho
29
T/F | Alternate Hypothesis is when the the null hypothesis is considered true
FALSE. | considered true if the null hypo is false. Ha
30
There are significant differences ____ & _____
practical & statistical
31
_____ significance amount of difference, change, or improvement that will be practical, economic, or technical value to business
Practical significance
32
____ significance is the magnitude of difference or change required to distinguish between a true difference, change, improvement.... one that could have occurred by chance
Statistical significance
33
What order is correct for testing the hypothesis? 1. use test statistics, inverval, p-value 2. state the null & alternate 3. indentify consequences 4. establish sample size required 5. choose the hypothesis test 6. collect data and perform appropriate testing 7. choose population parameter
``` 7. 2. 5. 3. 4. 6. 1. ```