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Free Physics Study Material for CSIR NET, IIT JAM, GATE, JEST & TIFR

by Pravegaa Education

Chapter 12 — Data Interpretation

Concepts, worked examples and 22 CSIR NET-JRF Part A questions (December 2016 – December 2025) with full solutions. Click Show solution under any question.

Concepts

12.1 Reading data

A question in data interpretation presents numbers in a table, a chart or a short passage and asks for a conclusion that follows from them. The arithmetic is rarely heavy; the difficulty lies in reading the display correctly and in deciding which combination of the numbers answers the question. Before any calculation it is worth settling three things: what each axis, row or sector measures, in what units, and whether the quantity shown is a total, a rate or a share.

A table gives the values explicitly. A bar chart shows a quantity by the length of a bar measured against a scale; when no scale is printed, as often happens, the gridlines still provide one, because ratios of lengths do not depend on the unit. A grouped bar chart places several bars side by side for each category, for instance a previous year and a current year, and a stacked or split bar divides one bar into parts, such as seats won and seats lost, whose sum is the whole. A pie chart shows how a whole is divided: a share \(p\) of the total occupies a sector of angle

\[\boxed{\theta = 360^\circ \times \frac{p}{\text{total}}}.\]

A radar (spider) chart plots several quantities along radial axes drawn from a common centre; each value is read as a distance along its own axis. A Venn diagram records counts in disjoint regions, so the number in a set is the sum of all the regions inside its circle. A population pyramid is a pair of horizontal bar charts, back to back, giving the number of people of each sex in successive age groups.

Values read from a chart are approximate, and an answer that depends on the second significant figure of a reading should be treated with suspicion. The options are usually separated widely enough that a careful reading to the nearest half gridline settles the question.

12.2 Ratios, rates and relative change

Most questions ask for a comparison, and a comparison is almost always a ratio. When a quantity changes from an initial value \(x_1\) to a final value \(x_2\), the absolute change is \(x_2 - x_1\) and the relative (or fractional) change is

\[\boxed{r = \frac{x_2 - x_1}{x_1}},\]

which is multiplied by 100 to give a percentage change. The base is the initial value. A rise from 50 to 200 is a relative change of \(150/50 = 3\), that is 300 per cent, whereas the larger absolute rise from 200 to 300 is only 50 per cent. A fall can never exceed 100 per cent, while a rise is unbounded. When the question speaks of the largest relative change without specifying its sign, the magnitude \(\lvert r\rvert\) is compared.

Many quantities of interest are not shown directly but are ratios of two displayed quantities: production per unit of water, seats won per seat contested, gross domestic product per head of population, population per unit area, mass per unit volume. If a chart shows \(A\) and another shows \(B\) for the same items, the derived quantity \(A/B\) must be formed item by item; the item with the largest \(A\) need not have the largest \(A/B\). When items are only to be ranked, any common unit factor may be ignored, and two fractions \(a/b\) and \(c/d\) with positive denominators compare as \(ad\) and \(bc\).

A rate printed per unit of one quantity must be inverted when the question asks about the other. If a region produces \(k\) kg of rice per lakh litres of water, it uses \(1/k\) lakh litres per kg; the region with the highest yield is the one that uses the least water per kg.

Prices quoted per unit of size are a frequent trap. If a diamond of \(w\) carats is priced at \(R\) per carat, its price is \(wR\). When the rate itself rises with the size, the price of a single stone grows faster than its weight. To buy the greatest number of items with a fixed budget, one buys the cheapest items first and moves to dearer ones only when the cheaper stock is exhausted.

12.3 Averages and distributions

The arithmetic mean of values \(x_i\) occurring with frequencies \(f_i\) is

\[\boxed{\bar x = \frac{\sum_i f_i x_i}{\sum_i f_i}}.\]

If the items carry weights \(w_i\) instead of frequencies, the same formula gives the weighted mean, and a weighted score is simply the numerator \(\sum_i w_i x_i\). The mode of a distribution is the most frequent value, and the median is the value below which half the population lies. A subgroup of a distribution, such as the students who passed, has its own mean, found by restricting both sums to the subgroup.

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