ISOM 201 Midterm Flashcards

1
Q

What is Quantitative Analysis?

A

a scientific approach to
managerial decision making in which raw data
are processed and manipulated to produce
meaningful information

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2
Q

Order of Quantitative Analysis

A

Raw data>Quantitative analysis> Meaningful Information

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3
Q

What are Quantitative factors

A

data that can be accurately calculated

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3
Q

Examples of Quantitive Analysis

A

diffrent investment alternatives
intrest rates
inventory levels
demand
labor cost

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4
Q

what are qualitative factors

A

difficult to quantify but effect the decision process

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5
Q

examples of qualitative factors

A

the weather
state/federal legislation
technological breakthroughs

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6
Q

what is profit

A

profit= revenue - costs

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7
Q

what is breakeven

A

0= revenue - costs

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8
Q

what is a mean

A

average of a range of values

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9
Q

what is a median

A

the middle of a set of values

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10
Q

what is a mode

A

the most frequent number in a set of values

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11
Q

what are the types of probability

A

Subjective Approach
Objective Approach
Relative Frequency Approach

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12
Q

what is subjective approach

A

used when logic and past history is not available or appropriate

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13
Q

Examples of Subjective approach

A

opinion polls
judgement by other experts

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14
Q

What is Objective approach

A

Probabilities can be logically determined

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15
Q

Examples of Objective Approach

A

Rolling Dice
Coin Toss

16
Q

What is Relative Frrequency Approach

A

objective probability assesment
P(event) = Number of occurances
/ total number of outcome

17
Q

What are the 5 types of event relationships

A

Independent Events
Dependent Events
Mutually Exclusive Events
Collectively Exhaustive Events
Complements Law

18
Q

what are the 3 types of decsion making

A

certainty- knows
uncertainty- doesnt know
risk - knows probabilty of outcomes

19
Q

5 critrea under uncertainty

A

Maximax (optimistic)
Maximin (pessimistic)
Criterion of realism (Hurwicz)
Equally likely (Laplace)
Minimax (regret)

20
Q

What is linear programming

A

a mathematical modeling technique used to help make
management decisions when trying to effectively use limited
resources

21
Q

4 requirements for linear programming

A

Seek to maximize or minimize some quantity (the objective function)

Restrictions or constraints are present

Alternative courses of action are available

Linear equations or inequalities

22
Q

7 properties of Linear Programs

A

one objective function
one (or more) constraints
alternative course of action
Objective and constraints are linear
Certainty
Divisibility
nonnegative variables

23
Q

What is Slack

A

slack is resources not used
amount of resources - resources used

24
Q

what is Surplus

A

when resources exceed constraints
actual amount - minimum amount

25
Q

equation to break even or profit

A

X= P + F / S - V
(X= profit + fixed costs/ selling price - variable costs)