MOCK EXAM ANSWERS Qs1 & 2
4BDIN001w
Exam Questions for Mock session in week 12 workshop
The exam in
January will take 1 hour 30 minutes.
Calculators (not phones) will be allowed. The following questions give examples of the
type of question. Students should aim to
be able to answer all questions in the mock set out below within the 1 hour 30
minutes allowed for the actual exam. Long
essay type answers are not expected.
Questions
such and 3, 6, 7 and 8 may be answered with bullet points or lists. The key is to support these with relevant
examples, etc to demonstrate understanding.
The marks for Q3 for example would awarded on the basis of 1 per type, 1
per example and 1 per means of addressing the problem. So a student providing 5 relevant types, 5
relevant examples and 5 means of addressing these issues could expect to gain
the whole 15 marks.
Q1 10
Marks
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Year 1
|
Year 2
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Year 3
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Year 4
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Year 5
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||
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Oil
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18.00
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21.00
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22.00
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20.00
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19.00
|
|
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Water
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5.00
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6.00
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8.00
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9.00
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11.00
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|
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Treating Year 1 as your base year
calculate the % change over 5 years
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If you rebase to year three what is
the % change over the last 3 years
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If you rebase to year four what is the % change over the last 2
years
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What comments can you make about the
cost of oil by comparison to the cost of water?
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Oil over 5 years: (19 X 100)/18 = 105.5556 therefore 5.5% change
Oil over 3 years: (19 X 100)/22 = 86.36 therefore
-13.36% change
Oil over 2 years: (19 X 100)/20 = 95 therefore -5% change
Water over
5 years: (11 X 100)/5 = 220 therefore 120% change
Water over 3 years: (11 X 100)/8 = 137.5 therefore 37.5% change
Water over
2 years: (11 X 100)/9 = 122.22 therefore 22.2% change
Over the five year period both the price
of oil and water has increased, (oil by 5.5% and water by 120%). If you
look at oil over a two or three year period it goes down by 5% and 13.4%
whereas water rises year on year.
Please refer to week 4 lecture and week 9
seminar materials
Q2 15
Marks
A) Plot the
following onto two scatter graphs, one for each data set:
|
Store 1
|
Monday
|
Tuesday
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Wednesday
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Thursday
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Friday
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Saturday
|
|
Number of Thefts
|
6
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2
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3
|
5
|
8
|
4
|
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Security Staff
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2
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4
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4
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3
|
2
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3
|
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Store 2
|
Monday
|
Tuesday
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Wednesday
|
Thursday
|
Friday
|
Saturday
|
|
Number of Telephone calls
|
46
|
67
|
73
|
36
|
51
|
58
|
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Security Staff
|
3
|
5
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6
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2
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4
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4
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B) Having plotted both sets of data please comment on any
correlation in either set of data
C) From looking at your scatter plots what might the
expected impact of having 4 Security staff in Store 1 on Friday be?
D) Explain how you can draw this conclusion
E) If you had 6 security staff in Store 1 on any given day what
impact would you anticipate this having on thefts
F) If you reduced the number of security staff to 1 on any
given day in store 2 what impact might you expect this to have on the number of
Telephone calls?
A)

Line of best fit included - top
marks

Correctly plotted good marks
B) Negative correlation for thefts,
positive correlation for telephone calls
C) That thefts would drop to 2 or 3
D) You can draw this conclusion from
looking at the graph showing the negative correlation between theft and staff numbers. Where staff numbers are 4 thefts have been 2
and 3.
E) Based on the line of best fit you
could anticipate that there would be no thefts.
F) Dropping the number of staff to 1
could be expected to see a reduction in the number of calls to between 25 and
30/ below 30.
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