Statistics - Correlation and Regression and Data Mining Flashcards

1
Q

Statistics Definition

A

Science of turning data into information

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2
Q

What is the role of statistics in Management

A

Decision Making

Problem Solving

Processes

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3
Q

What can correlation and regression be used to do?

A

Identify Key Variables for managing and reducing variation

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4
Q

what can regression be a stepping stone to do?

A

design an experiment or analyze a designed experiment

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5
Q

What does correlation do?

A

describes the LINEAR relationship between two variables

explores cause and effect

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6
Q

What are the X and Y axis’, USUALLY when plotting correlation?

A

X - Cause
Y- Effect

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7
Q

what is ‘r’ in a correlation plot?

A

the degree of linear association.

Basically the average distance of the data from the average line. the smaller, the more correlated the x and y axis are

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8
Q

What is the definition of data mining?

A

exploration and analysis of large quantities of data to discover meaningful patterns and rules

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9
Q

what is the goal of data mining

A

extract valid, previously unknown, comprehensible and actionable information from large databases to make business decisions

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10
Q

What is a simple questions that can lead to data mining?

A

“I wonder why ________”

“Why are _______ doing ________”

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11
Q

What are the two basic subsets of data mining?

A

Predictive modeling

descriptive modeling

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12
Q

what is predictive modeling?

A

“Hypothesis testing”

having target variables and inputs

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13
Q

what is descriptive modeling

A

clustering and pattern analysis

no targets or inputs

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14
Q

What is Allen’s simple Business analytics definition?

A

Utilizing Data to increase shareholder value

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15
Q

What are the five ways you can use business analytics

A

Compete ON analytics

compete WITH analytics

Improve WITH analytics

Revenue THROUGH analytics

Persevering THROUGH analytics

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16
Q

what is competing ON analytics?

A

using analytics as the KEY competitive advantage

resulting in sustainable competitive advantage

17
Q

what is competing WITH analytics?

A

focusing on one business process

building incremental profits

18
Q

what is improving WITH analytics

A

building a culture of analytics for continuous improvement

19
Q

what is revenue THROUGH analytics

A

improving margins and market share

20
Q

what is persevering THROUGH analytics

A

doing what the competition does.

21
Q
A