General Mathematics · Paper 2 · Worked solutions All 42 questions

2020 Paper 2, Q4

5 marks Complex familiar U3 T3 · Time series analysis
The question, as it appeared

The following data shows the profits per quarter for a company for the last two years.

Year20182019
Quarter\(1\)\(2\)\(3\)\(4\)\(1\)\(2\)\(3\)\(4\)
Profit ($’000s)\(64\)\(98\)\(116\)\(122\)\(87\)\(156\)\(180\)\(177\)

Deseasonalise the data and plot this on the same set of axes as the original data in the graph on the next page.

The paper’s graph runs from Q1 2018 to Q4 2019, with profit from 50 to 190 thousand dollars. The original data is already plotted on it.

Watch the situation first

Take the seasons out and see the trend

Every year starts low in Q1 and peaks later. Dividing each profit by its seasonal index flattens that pattern, and what is left shows how the business is really going.

70 100 130 160 190 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2018 2019 profit ($’000s) low every Q1, high every Q3 and Q4 divide each profit by its seasonal index the swing is gone, and 2019 sits about 50 higher
What earns the marks

Four calculations and a plot

Average each year separately

Each quarter is compared with its own year. 2018 averages 100 and 2019 averages 150, so one average for all eight quarters would hide the growth.

Then average by season

Divide each profit by its yearly average, then average the two Q1 ratios, the two Q2 ratios and so on. Check that the four indices add to 4.

Deseasonalise means divide

\[\text{deseasonalised}=\frac{\text{actual}}{\text{seasonal index}}\] Multiplying puts the seasons back in twice.

Now for the mathematics

One season at a time

Pick a quarter to see where its index comes from. Then switch to multiplying, the slip I see most often, and watch the seasons get worse instead of disappearing.

50 100 150 200 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2018 2019 profit ($’000s) original
Seasonal index for this quarter
Before you read the solution

Q3 2019 made 180 and the Q3 index is 1.18. Deseasonalised?

That is \(180\times1.18\). Q3 is a strong quarter, so its deseasonalised value should come out lower than the actual profit.

Yes. \(180\div1.18=152.5\). An index above 1 means the quarter normally runs above average, so taking the season out brings the value down.

That subtracts the index. A seasonal index is a ratio, so you divide by it.

QCAA marking guide

QCAA marking guide · 5 marks

Step 1 · yearly averages
[1 mark]

\[2018:\ \frac{64+98+116+122}{4}=100\]\[2019:\ \frac{87+156+180+177}{4}=150\]

Marker: correctly determines the yearly averages.

Step 2 · profit ÷ yearly average
[1 mark]
QuarterQ1Q2Q3Q4
2018\(0.64\)\(0.98\)\(1.16\)\(1.22\)
2019\(0.58\)\(1.04\)\(1.20\)\(1.18\)

Marker: determines the profit ÷ yearly average values. Equivalent forms such as \(\tfrac{64}{100}\) or \(\tfrac{16}{25}\) are accepted.

Step 3 · seasonal indices
[1 mark]

\[\text{Q1}:\ \frac{0.64+0.58}{2}=0.61\qquad \text{Q2}:\ \frac{0.98+1.04}{2}=1.01\]\[\text{Q3}:\ \frac{1.16+1.20}{2}=1.18\qquad \text{Q4}:\ \frac{1.22+1.18}{2}=1.20\]

Marker: determines the seasonal indices. Follow-through marks are allowed from here on. As a check, \(0.61+1.01+1.18+1.20=4\).

Step 4 · deseasonalised values
[1 mark]
QuarterQ1Q2Q3Q4
2018\(104.92\)\(97.03\)\(98.31\)\(101.67\)
2019\(142.62\)\(154.46\)\(152.54\)\(147.50\)

Marker: determines the deseasonalised values, each one actual ÷ seasonal index, for example \(64\div0.61=104.92\).

Step 5 · plot on the same axes
[1 mark]

Plot the eight deseasonalised values at their quarters on the graph provided, and join them.

The result is the black line in the interactive above with "Divide by the index" selected. It sits near 100 through 2018 and near 150 through 2019.

Marker: accurately plots the deseasonalised data on the provided graph. Follow-through is allowed from your values.

Putting it all together

What the flat line tells you

A jump at the new year

Deseasonalised profit barely moves within each year, then jumps by about 50 between Q4 2018 and Q1 2019. The growth happened at the turn of the year, and the raw data hides that behind the seasons.

Read the axes first

The vertical axis on the paper’s graph starts at 50. Every deseasonalised value fits between 97 and 155, so plot carefully against the gridlines rather than estimating by eye.

What makes this complex familiar

The method is the standard one, but you are not given the seasonal indices or told how to find them. You have to remember the whole chain, from yearly averages through to plotting, without any prompts. Four of the five marks follow through, so one early slip costs you only one mark. I want you to set the working out as tables, one per step, so the marker can follow each number to where it came from.

Keep going

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Question wording and marking-guide steps are from the 2020 QCAA General Mathematics external assessment, © State of Queensland (QCAA) 2020, licensed under CC BY 4.0, and have been adapted. Tangent Tuition is not affiliated with the QCAA.