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Decision Trees

Total questions: 15

Worksheet time: 5mins

Name
Class
Date
1.

A decision tree is a _____ used to help managers make decisions.

a)

scientific model

b)

mathematical model

c)

geographical model

d)

super model

2.

A decision tree uses _________ to calculate likely outcomes.

a)

stakeholder information

b)

facts and statistics

c)

estimates and probabilities

d)

shareholder data

3.

A decision tree helps to decide whether the _____from a decision is worthwhile.

a)

net gain

b)

net present value

c)

payback period

d)

future value of cash

4.

A decision tree starts with a ____ to be made and the options that can be taken.

a)

dividend

b)

decision

c)

net present value assumption

d)

payback period estimate

5.

Don't forget that there is always an option to decide _____.

a)

to choose the project that is not worthwhile

b)

to add further options

c)

to choose both options

d)

to do nothing!

6.

Net gain is calculated by _____ the expected value of each outcome and deducting the costs associated with the decision.

a)

deducting

b)

adding together

c)

multiplying

d)

dividing

7.

BENEFITS OF USING DECISION TREES include:

a)

Uses quantitative data only – ignores qualitative aspects of decisions

b)

It is based on assumptions and estimates

c)

Choices are set out in a logical way

d)

Assignment of probabilities and expected values prone to bias

8.

BENEFITS OF USING DECISION TREES include:

a)

Decision-making technique doesn’t necessarily reduce the amount of risk

b)

Uses quantitative data only – ignores qualitative aspects of decisions

c)

Probabilities are just estimates – always prone to error

d)

Potential options & choices are considered at the same time

9.

BENEFITS OF USING DECISION TREES include:

a)

Probabilities are just estimates – always prone to error

b)

Use of probabilities enables the “risk” of the options to be addressed

c)

Uses quantitative data only – ignores qualitative aspects of decisions

d)

Assignment of probabilities and expected values prone to bias

10.

BENEFITS OF USING DECISION TREES include:

a)

Likely costs are considered as well as potential benefits

b)

Probabilities are just estimates – always prone to error

c)

Uses quantitative data only – ignores qualitative aspects of decisions

d)

Assignment of probabilities and expected values prone to bias

11.

BENEFITS OF USING DECISION TREES include:

a)

Probabilities are just estimates – always prone to error

b)

Assignment of probabilities and expected values prone to bias

c)

Easy to understand & tangible results

d)

Decision-making technique doesn’t necessarily reduce the amount of risk

12.

DRAWBACKS OF USING DECISION TREES include:

a)

Probabilities are just estimates – always prone to error

b)

Choices are set out in a logical way

c)

Potential options & choices are considered at the same time

d)

Use of probabilities enables the “risk” of the options to be addressed

13.

DRAWBACKS OF USING DECISION TREES include:

a)

Likely costs are considered as well as potential benefits

b)

Use of probabilities enables the “risk” of the options to be addressed

c)

Uses quantitative data only – ignores qualitative aspects of decisions

d)

Easy to understand & tangible results

14.

DRAWBACKS OF USING DECISION TREES include:

a)

Use of probabilities enables the “risk” of the options to be addressed

b)

Potential options & choices are considered at the same time

c)

Easy to understand & tangible results

d)

Assignment of probabilities and expected values prone to bias

15.

DRAWBACKS OF USING DECISION TREES include:

a)

Likely costs are considered as well as potential benefits

b)

Easy to understand & tangible results

c)

Decision-making technique doesn’t necessarily reduce the amount of risk

d)

It is a mathematical model used to help managers make decisions.