Needed Review Areas Flashcards

1
Q

R-squared

A

range from 0 to 1

CLOSE To ZERO - data not aligned (r-squared is HIGH).. graph spread out

CLOSE TO 1 - error is SMALL, data close alignment to regression line

one of each variable I and D = correlation coefficient

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2
Q

Time-Series

A

Time is INDEPENDENT variable to assess influence may have on output

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3
Q

More then ONE independent variable

A

multiple regression

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4
Q

5 Data PATTERNS

A
Trend
Cyclicality
Seasonality
Irregularity 
Random Variation
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5
Q

General slope Upward or Downward over a LONG period of time

A

Trend

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6
Q

Repetition of up (peaks) or down movements (troughs) that follow or counteract a business cycle that can last several years.

A

Cyclicality

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7
Q

Regular pattern of volatility, usually within a single year.

A

Seasonality

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8
Q

ONE-TIME deviation from unforeseen circumstances (war, pandemic, etc)

A

Irregularity

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9
Q

variability of a process which might be caused by irregular fluctuations due to chance that cannot be anticipated,
detected, or eliminated.

A

random variation

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10
Q

can be applied when the dependent variable is a categorical, binary variable, such as male/female,
dead/living, gas/electric, etc

A

logistic regression

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11
Q

occurs when a given data point on a time series analysis is affected by a previous data point for that time
series

A

autocorrelation
(durbin watson statistic)

check for this when under Time Series

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12
Q

occurs when all of the random variables have the same general finite variance..
data
points in a scatterplot stay approximately the same distance away from the regression line throughout the entire dataset.

A

Homerscedasticity

OLS regression (ordinary least squares)

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13
Q

Useful in Marketing, Medicine, Soc Media, Education

A

Cluster Analysis

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14
Q

is designed to establish a logical
sequence for decisions, to consider the decision alternatives available, and to evaluate the results they will produce… limted # potential outcomes possible

A

Decision Tree

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15
Q

Focus on customers

A

Lean processes - eliminate anything not adding value to customers

PDCA Cycle - work with customer to create best possible product

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16
Q

Tools for Strong Leadership

A

Tree Diagrams

Process Decision Program Charts

17
Q

Focus on the process.. useful when focus on the process of managing resources

A

SIPOC - Supplier Input Process Output Customer

18
Q

Continuous improvement

A

PDCA - to create best possible process or product

ISO Certification

19
Q

can useful making fact-based decisions when looking at quality because it measures the
performance and determines areas that need improvement.

A

Six Sigma

20
Q

four-step method for testing hypotheses and solving

problems. The cycle is based on the scientific method

A

PDCA
Plan - identify prob, develop plan

Do - run Experiment to see if plans will work on small scale

Check - analyze results; can be improved?

Act - enact change on larger scale; part of normal operations

21
Q

uses OBSERVED data to determine the changes that have to be made to a process or procedure

A

Quality CONTROL

22
Q

uses PROJECTED data to make the best possible model or procedure before that model or procedure is applied
rEFINE PROCESSES

A

quality ASSURANCE

23
Q

Uncover defects; Assess performance and recommend corrective action; recognize prob so can fix; Inspection and Repair; REACTIVE

A

Quality Control

24
Q

PREVENT defects from occuring; assess Capability; understand intricacies of system and predict outcomes; PROACTIVE

A

quality ASSURANCE

25
Q

allows you to see all of the elements that could influence the
process before work is begun. It helps you define the
boundaries of your operations by providing a high-level view
of the complete process, from supplier to customer

A

SIPOC Diagram

26
Q

combines the
streamlining and waste-elimination concepts of Lean practices with the variation- and quality-control ideas of Six Sigma.

A

Lean Six Sigma

27
Q

Lean Systems (problem-solving, delivering value, free up resources)

A

work continuously to eliminate the defects and rework in their systems

Value-added work is enhanced and non-value-added work is minimized

Inventory is minimized and delivered just-in-time

28
Q

a highly disciplined, data-driven approach for improving quality… focuses intently on
facts and statistics

A

six sigma

29
Q

places six standard deviations between the mean (or average) value for quality outputs
and allowed limits on a histogram used to measure results

A

six sigma

30
Q

USES 5 step Framework (DMAIC)

A

six sigma