QUANTI Flashcards

1
Q

scientific approach to
managerial decision making whereby raw data are
processed and manipulated resulting in meaningful
information

A

Quantitative analysis

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2
Q

might be different
investment
alternatives, interest
rates, inventory
levels, demand, or
labor cost

A

Quantitative Factors

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3
Q

such as the weather,
state
and
local
legislation,
technology
breakthroughs
should
also
considered.

A

Qualitative Factors

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4
Q

Information may be
difficult to quantify
but can affect the
decision making
process.

A

Qualitative factors

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5
Q

Seven Quantitative Analysis Approach

A
  1. Defining the Problem
  2. Developing a Model
  3. Acquiring Input Data
  4. Developing a Solution
  5. Testing the Solution
  6. Analyzing the Results
  7. Implementing the Results
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6
Q

Seven Quantitative Analysis Approach:

This may be the most important and difficult step.

A

Defining the Problem

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7
Q

Seven Quantitative Analysis Approach:

It is essential to go beyond symptoms and
identify true causes.

A

Defining the Problem

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8
Q

Seven Quantitative Analysis Approach:

May be necessary to concentrate on only a few
of the problems– selecting the right problems is
very important.

A

Defining the Problem

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9
Q

Seven Quantitative Analysis Approach:

Specific and measurable objectives may have to
be develop

A

Defining the Problem

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10
Q

Seven Quantitative Analysis Approach:

Quantitative analysis models are realistic,
solvable, and understandable mathematical
representations of a situation.

A

Developing a Model

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11
Q

Seven Quantitative Analysis Approach:

Models generally contain variables (controllable
and uncontrollable) and parameters.

A

Developing a Model

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12
Q

Seven Quantitative Analysis Approach:

Controllable variables are generally the decision
variables and are generally unknown.

A

Developing a Model

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13
Q

Seven Quantitative Analysis Approach:

Parameters are known quantities that are a part
of the problem.

A

Developing a Model

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14
Q

Prototype or Physical Object

A

Scale Models

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15
Q

Graphical Presentation or Symbols

A

Schematic Models

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16
Q

Seven Quantitative Analysis Approach:

Data may come from a variety of sources such as company reports, company documents, interviews, on-site direct measurement, or statistical sampling

A

Acquiring Input Data

17
Q

Seven Quantitative Analysis Approach:

The best (optimal) solution to a problem is found by
manipulating the model variables until a solution is
found that is practical and can be implemented

A

Developing a Solution

18
Q

Four Common technique in Developing a Solution

A

Solving
Trial and Error
Complete enumeration
Algorithm

19
Q

Four Common technique in Developing a Solution:

trying various approaches and
picking the best result

A

Trial and Error

20
Q

Four Common technique in Developing a Solution:

trying all possible
values

A

Complete Enumeration

21
Q

Four Common technique in Developing a Solution:

a series of repeating steps
to reach a solution

22
Q

Seven Quantitative Analysis Approach:

Both input data and the model should be tested for
accuracy before analysis and implementation

A

Analyzing the Results

23
Q

Seven Quantitative Analysis Approach:

Making sure the solution works properly and is accurate

A

Testing the Solution

24
Q

Seven Quantitative Analysis Approach:

Result should be logical, consistent, and represent the real situation

A

Analyzing the Results

25
Seven Quantitative Analysis Approach: Implementation incorporates the solution into the company.
Implementing the Results
26
Seven Quantitative Analysis Approach: Many quantitative analysis efforts have failed because a good, workable solution was not properly implemented
Implementing the Results
27
Seven Quantitative Analysis Approach: Changes occur over time, so even successful implementations must be monitored to determine if modifications are necessary
Implementing the Results
28
Quantitative analysis models are used extensively by real organizations to solve real problems
Modeling in the Real World
29
Formula for profit (basic)
revenue - expenses
30
formula for profit
sX - f - vX
31
Formula for Break Even Point
f/s-v
32
a numerical statement about the likelihood that an event will occur.
Probability
33
based on the experience and judgment of the person making the estimate. Opinion polls Judgment of experts Delphi method
Subjective probability
34
one of the events can occur on any one trial.
mutually exclusive
35
the list of outcomes includes every possible outcome.
collectively exhaustive
36
Events may be either independent or dependent.
statistically Independent
37
probability is just the probability of a single event occurring.
Marginal or simple
38
probability is the probability of two or more events occurring and is equal to the product of their marginal probabilities for independent events.
Joint
39
probability is the probability of event B given that event A has occurred.
Conditional