Introduction: Welcome to Numbers in the Real World

Have you ever wondered how astronomers write the distance to a distant star without filling a whole page with zeros, or how scientists measure the size of a virus? At the other end of the scale, what happens when you measure a piece of wood for a building project—can any measurement ever be one hundred percent perfect?

In Mathematics: Applications and Interpretation, we deal with mathematics applied to real-life situations. In real life, numbers can be unimaginably gigantic or microscopic, and every physical measurement involves some degree of uncertainty. This chapter gives you the essential toolkit to handle these numbers with precision, confidence, and exam success.

Don't worry if you find rounding or large numbers a bit confusing right now. We will break down every single rule into clear, manageable steps so you can master these foundational skills for your exams!

Note: For working with sequences, logarithms, or financial math, check out the other chapters in Topic 1 — Number and algebra.

1. Standard Form (Scientific Notation)

When numbers are extremely large (like the mass of the Earth) or extremely small (like the width of a cell), writing them out with dozens of zeros is slow and makes it easy to miscount. Standard form (also called scientific notation) is a clean, universally accepted way to write any positive or negative number.

The Official Definition

A number written in standard form has the exact structure:

\(a \times 10^k\)

where:

• The coefficient \(a\) must be between \(1\) and \(10\), meaning \(1 \le a < 10\). That is, there must be exactly one non-zero digit before the decimal point.
• The base is always \(10\).
• The exponent \(k\) must be an integer (\(k \in \mathbb{Z}\)). A positive integer means a large number (greater than or equal to \(10\)), zero means a number between \(1\) and \(10\), and a negative integer means a small number (strictly between \(0\) and \(1\)).

Crucial Exam Warning: The "E" Notation Trap

When you use your Graphic Display Calculator (GDC), it will often display large or small numbers using screen shorthand, such as \(5.2\text{E}30\) or \(3.8\text{E}-5\).

Never write calculator notation on your IB exam paper! Writing \(5.2\text{E}30\) or \(5.2 \text{ e } 30\) on your exam paper can cause you to lose the accuracy mark. You must always translate it into proper standard form: \(5.2 \times 10^{30}\).

How to Convert to Standard Form Step-by-Step

Case A: Large numbers (numbers greater than \(10\))

Let's convert \(456\,000\) into standard form:

1. Place the decimal point after the very first non-zero digit: here, after the \(4\), giving \(4.56\). Notice that \(1 \le 4.56 < 10\).
2. Count how many places the decimal point had to move from the end of the original number to its new position: from after the last zero, it moves \(5\) places to the left.
3. Since the original number is large, the power of \(10\) is positive: \(456\,000 = 4.56 \times 10^5\).

Case B: Tiny decimals (numbers between \(0\) and \(1\))

Let's convert \(0.000\,708\) into standard form:

1. Move the decimal point so it sits right after the first non-zero digit (\(7\)), giving \(7.08\).
2. Count how many places the decimal point moved to the right: it moved \(4\) places.
3. Because the original number is a tiny decimal, the exponent is negative: \(0.000\,708 = 7.08 \times 10^{-4}\).

Arithmetic with Standard Form

While your GDC can handle these operations directly, understanding the logic helps you check if your answers are reasonable:

• Multiplication: Multiply the coefficients and add the powers of \(10\).
\((2 \times 10^4) \times (3 \times 10^5) = (2 \times 3) \times 10^{4+5} = 6 \times 10^9\)

• Division: Divide the coefficients and subtract the powers of \(10\).
\(\frac{8.4 \times 10^7}{2.1 \times 10^3} = \left(\frac{8.4}{2.1}\right) \times 10^{7-3} = 4 \times 10^4\)

• Adjusting the coefficient: If your resulting coefficient is not strictly between \(1\) and \(10\), adjust it! For example, \((6 \times 10^5) \times (4 \times 10^3) = 24 \times 10^8\). Since \(24\) is not less than \(10\), rewrite \(24\) as \(2.4 \times 10^1\), so the final answer is \(2.4 \times 10^9\).

Key Takeaway: Standard form is always \(a \times 10^k\) where \(1 \le a < 10\) and \(k\) is an integer. Always rewrite calculator displays like \(\text{E}12\) into proper mathematical form.

2. Approximation: Decimal Places and Significant Figures

In mathematical modeling and data collection, writing down infinite decimals is impossible and unnecessary. Rounding allows us to communicate values to a sensible degree of accuracy.

Decimal Places (d.p.)

Rounding to a set number of decimal places means counting digits to the right of the decimal point:

1. Locate the digit at the specified decimal place.
2. Look at the decider digit immediately to its right.
3. If the decider is \(5\) or more, round up by adding \(1\) to the target digit. If it is \(4\) or less, leave the target digit unchanged.
4. Drop all subsequent digits.

Example: Round \(14.8637\) to \(2\) decimal places.
The second decimal place is \(6\). The decider is \(3\) (which is less than \(5\)). Therefore, the number rounds to \(14.86\).

Significant Figures (s.f.)

Significant figures indicate how precisely a quantity is known. Unlike decimal places, significant figures begin counting from the first non-zero digit on the left.

The Golden Rules of Significant Figures:

• Non-zero digits are always significant: In \(347\), all \(3\) digits are significant.
• Captive zeros (zeros between non-zero digits) are always significant: In \(50.08\), all \(4\) digits are significant.
• Leading zeros (zeros at the start before non-zero digits) are NEVER significant: In \(0.0042\), there are only \(2\) significant figures (the \(4\) and the \(2\)). Those leading zeros merely establish the position of the decimal point.
• Trailing zeros in a decimal number ARE significant: In \(7.300\), there are \(4\) significant figures. Those zeros are there intentionally to show that the measurement was taken to the nearest thousandth.
• Trailing zeros in whole numbers without a decimal point: In pure mathematics, large whole numbers like \(45\,000\) are ambiguous unless written in standard form or context is given. In standard form, \(4.5 \times 10^4\) has \(2\) s.f., whereas \(4.500 \times 10^4\) has \(4\) s.f.

The General IB Examination Accuracy Rule

Unless a question specifies otherwise (for example, "give your answer to the nearest dollar" or "give your answer to \(2\) decimal places"), the general IB convention is:

All final numerical answers should be given exactly or to three significant figures (3 s.f.).

Memory Trick: Never round intermediate values during your calculations! Store intermediate values in your calculator memory and only round the final answer to \(3\) significant figures. Rounding early causes "rounding drift" (premature rounding error), which can cost you accuracy marks.

Estimation

Estimation involves rounding numbers to \(1\) significant figure before performing calculations. This allows you to quickly assess whether a calculator result makes sense.

Example: Estimate the value of \(\frac{41.8 \times 19.3}{0.48}\).
• Round \(41.8\) to \(1\) s.f. \(\rightarrow 40\)
• Round \(19.3\) to \(1\) s.f. \(\rightarrow 20\)
• Round \(0.48\) to \(1\) s.f. \(\rightarrow 0.5\)
Now compute mentally: \(\frac{40 \times 20}{0.5} = \frac{800}{0.5} = 1600\).
If your calculator shows an answer of \(16.8\), you instantly know you accidentally typed a wrong operation!

Key Takeaway: Decimal places count digits after the decimal point; significant figures count from the very first non-zero digit. When in doubt on exam papers, write exact answers or round to \(3\) significant figures.

3. Upper and Lower Bounds

Whenever a number has been rounded, the value we see is only an approximation of the true, unrounded value. The true value sits somewhere within a range bounded by a lower bound and an upper bound.

Finding Bounds: The Half-Unit Rule

To find the bounds of any rounded value:

1. Identify the unit of rounding (the place value to which the number was rounded: e.g., nearest whole unit = \(1\), nearest ten = \(10\), to \(1\) decimal place = \(0.1\)).
2. Divide that unit by \(2\) to find the maximum possible rounding margin: \(\text{margin} = \frac{\text{unit}}{2}\).
3. The bounds are:

\(\text{Lower Bound (LB)} = \text{rounded value} - \frac{\text{unit}}{2}\)

\(\text{Upper Bound (UB)} = \text{rounded value} + \frac{\text{unit}}{2}\)

The true value \(x\) satisfies the inequality:

\(\text{LB} \le x < \text{UB}\)

Note on the inequality: The lower bound is inclusive (\(\le\)), but the upper bound is technically exclusive (\(<\)) because a value right at the upper bound would round up to the next number. However, for calculations, we use the value of the upper bound itself.

Step-by-Step Examples of Finding Bounds

Example 1: Rounded to the nearest integer
A rope is measured as \(18\text{ m}\) to the nearest metre.
• Unit of rounding = \(1\text{ m}\)
• Margin = \(\frac{1}{2} = 0.5\text{ m}\)
• \(\text{Lower Bound} = 18 - 0.5 = 17.5\text{ m}\)
• \(\text{Upper Bound} = 18 + 0.5 = 18.5\text{ m}\)
The true length \(L\) lies in the interval: \(17.5 \le L < 18.5\).

Example 2: Rounded to 1 decimal place
A mass is recorded as \(6.4\text{ kg}\) correct to \(1\) decimal place.
• Unit of rounding = \(0.1\text{ kg}\)
• Margin = \(\frac{0.1}{2} = 0.05\text{ kg}\)
• \(\text{Lower Bound} = 6.4 - 0.05 = 6.35\text{ kg}\)
• \(\text{Upper Bound} = 6.4 + 0.05 = 6.45\text{ kg}\)
The true mass \(m\) lies in the interval: \(6.35 \le m < 6.45\).

Combining Bounds in Calculations

Real-life applications often ask you to find the minimum and maximum possible values of an area, perimeter, speed, or cost based on rounded measurements. Think about how numbers interact:

• Addition (\(A + B\)):
Maximum possible: \(\text{UB}_A + \text{UB}_B\)
Minimum possible: \(\text{LB}_A + \text{LB}_B\)

• Multiplication (\(A \times B\)): (for positive numbers)
Maximum possible: \(\text{UB}_A \times \text{UB}_B\)
Minimum possible: \(\text{LB}_A \times \text{LB}_B\)

• Subtraction (\(A - B\)):
To make the difference as large as possible, take the biggest possible starting number and take away the smallest possible amount:
\(\text{Maximum} = \text{UB}_A - \text{LB}_B\)
To make the difference as small as possible:
\(\text{Minimum} = \text{LB}_A - \text{UB}_B\)

• Division (\(\frac{A}{B}\)):
To make a fraction as large as possible, divide the biggest possible numerator by the smallest possible denominator:
\(\text{Maximum} = \frac{\text{UB}_A}{\text{LB}_B}\)
To make a fraction as small as possible:
\(\text{Minimum} = \frac{\text{LB}_A}{\text{UB}_B}\)

Worked Example: Speed Bounds

A runner travels a distance of \(d = 400\text{ m}\) measured to the nearest \(10\text{ metres}\). The time taken is \(t = 50\text{ seconds}\) measured to the nearest second. Calculate the upper bound of the runner's average speed in \(\text{m s}^{-1}\).

Step 1: Determine the bounds of each quantity.
• Distance \(d\): unit is \(10\text{ m}\), so margin is \(\frac{10}{2} = 5\text{ m}\).
\(\text{LB}_d = 400 - 5 = 395\text{ m}\), \(\text{UB}_d = 400 + 5 = 405\text{ m}\).
• Time \(t\): unit is \(1\text{ s}\), so margin is \(\frac{1}{2} = 0.5\text{ s}\).
\(\text{LB}_t = 50 - 0.5 = 49.5\text{ s}\), \(\text{UB}_t = 50 + 0.5 = 50.5\text{ s}\).

Step 2: Apply the formula for maximum speed.
Average speed is \(\text{Speed} = \frac{\text{Distance}}{\text{Time}}\).
To find the upper bound of speed, we need the largest distance divided by the smallest time:

\(\text{UB}_{\text{speed}} = \frac{\text{UB}_d}{\text{LB}_t} = \frac{405}{49.5} \approx 8.1818...\text{ m s}^{-1}\)

Rounding to \(3\) significant figures gives \(8.18\text{ m s}^{-1}\).

Key Takeaway: The margin of error is half the rounding unit. For subtraction and division, pair the upper bound of one quantity with the lower bound of the other to find extreme values.

4. Percentage Error

Whenever an estimate or rounded figure is used instead of an exact value, an error is introduced. The percentage error quantifies how large this error is relative to the exact value.

The Percentage Error Formula

The official formula for percentage error is:

\(\epsilon = \left| \frac{v_A - v_E}{v_E} \right| \times 100\%\)

where:

• \(v_A\) is the approximated (or measured/estimated) value.
• \(v_E\) is the exact (or true/theoretical) value.
• The vertical bars \(| \dots |\) denote the absolute value, which strips away any negative sign. Percentage error is always expressed as a positive number (or zero if there is no error).
• \(\epsilon\) is the percentage error.

Step-by-Step Guide to Calculating Percentage Error

Step 1: Clearly identify the exact value (\(v_E\)) and the approximated value (\(v_A\)).
Step 2: Subtract the exact value from the approximated value: \(v_A - v_E\).
Step 3: Divide this difference by the exact value (\(v_E\)). (A common mistake is dividing by \(v_A\)—always put the true, exact value on the bottom!).
Step 4: Take the absolute value (make it positive).
Step 5: Multiply by \(100\) to turn the decimal into a percentage.

Worked Example 1: Area Approximation

A rectangular plot of land has an exact length of \(34.6\text{ m}\) and an exact width of \(18.2\text{ m}\). A surveyor approximates the dimensions by rounding both numbers to the nearest metre before calculating the area.

(a) Calculate the exact area of the plot.
Exact area \(v_E = 34.6 \times 18.2 = 629.72\text{ m}^2\).

(b) Calculate the approximate area using the surveyor's rounded measurements.
• Approximate length = \(35\text{ m}\)
• Approximate width = \(18\text{ m}\)
Approximate area \(v_A = 35 \times 18 = 630\text{ m}^2\).

(c) Calculate the percentage error in the surveyor's area calculation.
Using the formula:

\(\epsilon = \left| \frac{v_A - v_E}{v_E} \right| \times 100\%\)

\(\epsilon = \left| \frac{630 - 629.72}{629.72} \right| \times 100\% = \left| \frac{0.28}{629.72} \right| \times 100\%\)

\(\epsilon \approx 0.044464...\%\)

Rounding to \(3\) significant figures: \(\epsilon = 0.0445\%\).

Worked Example 2: Underestimation

A stadium manager estimates that \(25\,000\) fans will attend a match. The actual turnstile count records \(28\,400\) attendees. Find the percentage error.

• Approximated value: \(v_A = 25\,000\)
• Exact value: \(v_E = 28\,400\)

\(\epsilon = \left| \frac{25\,000 - 28\,400}{28\,400} \right| \times 100\% = \left| \frac{-3400}{28\,400} \right| \times 100\%\)

\(\epsilon = \left| -0.119718... \right| \times 100\% = 11.9718...\%\)

To \(3\) significant figures, the percentage error is \(12.0\%\).

Key Takeaway: Always place the exact value \(v_E\) in the denominator. Never leave a percentage error negative—the absolute value signs make it strictly positive.

5. Common Mistakes to Avoid in Exams

Review this checklist before working through practice questions to avoid dropping easy marks:

• Leaving calculator notation on paper: Writing \(4.1\text{E}-3\) instead of \(4.1 \times 10^{-3}\). Examiners do not award the mark for calculator shorthand.
• Writing an invalid coefficient in standard form: Writing \(0.35 \times 10^4\) or \(35 \times 10^2\). The leading coefficient \(a\) must strictly satisfy \(1 \le a < 10\).
• Premature rounding: Rounding values in step 1 of a 4-step problem to \(3\) significant figures. Keep all decimals in your calculator memory until the final step!
• Mixing up the denominator in percentage error: Dividing by \(v_A\) instead of \(v_E\). Remember: you measure the error compared to the true reality (\(v_E\)).
• Forgetting absolute value: Stating a percentage error as \(-5.2\%\). Errors calculated with this formula are always positive: \(5.2\%\).
• Dividing bounds incorrectly: Calculating the minimum speed by dividing the upper distance by the lower time. Always pair smallest numerator with largest denominator for the minimum result: \(\frac{\text{LB}}{\text{UB}}\).

6. Chapter Summary and Formula Review

Here is a quick-reference summary of the key tools from this chapter:

• Standard Form: \(a \times 10^k\), where \(1 \le a < 10\) and \(k \in \mathbb{Z}\).
• Rounding Default: Write answers exactly or to \(3\) significant figures unless stated otherwise.
• Bounds Margin: \(\text{margin} = \pm \frac{\text{unit}}{2}\).
• Bounds Interval: \(\text{rounded value} - \frac{\text{unit}}{2} \le x < \text{rounded value} + \frac{\text{unit}}{2}\).
• Extreme Quotients: \(\text{Maximum} = \frac{\text{UB}}{\text{LB}}\) and \(\text{Minimum} = \frac{\text{LB}}{\text{UB}}\).
• Percentage Error Formula: \(\epsilon = \left| \frac{v_A - v_E}{v_E} \right| \times 100\%\).