Chapter 23

A simulation model typically includes
1. input variables
2. parameters
3. output variables
4. all of the above
A parameter will
1. take a given value for a particular simulation
2. take a given value for all simulations
3. take values within a limited range
4. change if variables are allowed to change
Random numbers are used to
1. to change the parameters
2. add predictability to the output variables
3. model the problem variability
4. model the status variables
Numbers generated in a random sequence will
1. appear at regular intervals
2. have a known chance of inclusion
3. exclude 0
4. do none of these
The probability of being ‘defective’ is
1. 0.1
2. 0.2
3. 0.3
4. 0.4
Given the following look-up table and random number sequence, answer questions 6 and 7.

Random number sequence: 87024 74221 69721

The probability of being ‘non memberr’ is:
1. 0.55
2. 0.54
3. 0.45
4. 0.44
The result of the simulation would be:
1. m nm nm nm nm m m
2. nm m nm nm nm m m
3. m nm nm m m nm nm
4. nm m m m m nm nm
Given the following look-up table and random number sequence, answer question 8.

Random number sequence: 44518 58804 04860

The result of the simulation would be:
1. B B C C A A C
2. B B C C A A C C
3. A B C A B C A
4. B B B C B B A