UGC NET Questions (Paper – 1)

Statements A and B explain how combined graphs display related quantities with different graphical forms in the same figure. Statement C is correct because separate vertical scales mean each series must be read against its own axis. Statement E is also true; exam questions often focus on relative trends and comparisons rather than exact calculations. Statement D is false since assuming a common scale when there are two axes can lead to misinterpretation. Therefore, A, B, C and E only are correct, as given in option D.

Option A:
Option A is incomplete because it includes only A, B and C and omits E, which stresses the interpretative focus on trends that is common in NET data questions.

Option B:
Option B is incorrect because it omits B (a correct example of bar–line encoding), so it does not include all true statements even though A, C and E are true.

Option C:
Option C is incorrect because it excludes A (the general definition of combined graphs) and keeps only B, C and E, making it incomplete for “select correct statements”.

Option D:
Option D is correct as it gathers the correct structural and interpretative points about combined graphs and explicitly excludes D, which wrongly assumes a single scale for all series.

Statement A correctly gives the standard formula for percentage change. Statement B is also true because a negative result indicates that the new value is lower than the old one. Statement E is correct as many data interpretation graphs require reading approximate values and working with reasonable approximations. Statement C is false because changing the base (denominator) alters the percentage value, and D is false since a large absolute difference can still yield a small percentage change when the base is large. Thus, A, B and E only are correct.

Option A:
Option A is incomplete because it leaves out B, which properly explains the meaning of a negative percentage change.

Option B:
Option B is correct as it combines the correct formula, the interpretation of negative change and the realistic note about approximation, while excluding C and D.

Option C:
Option C is wrong because it includes C, which wrongly claims the base value does not matter, and it omits B.

Option D:
Option D is incorrect since it contains D (false) and omits A (formula).

Statements A, B, C and E correctly summarise how pie charts work. A states that sector angles reflect relative shares. B is true because a full circle corresponds to 360 degrees. C is correct as pie charts emphasise contribution to a whole rather than precise comparisons between many categories. E is true since the total proportion is fixed at 100%, so increasing one share must reduce some other share. D is false because if the total quantity is known, one can estimate or compute numeric values from the percentages shown. Hence A, B, C and E only are correct.

Option A:
Option A is correct because it includes all the valid properties of pie charts and excludes D, which overstates the limitation of estimating values from them.

Option B:
Option B is incomplete as it omits E and thus fails to stress the compensating changes between categories when one sector grows, which is central to understanding proportions.

Option C:
Option C is wrong because it leaves out A and therefore misses the fundamental encoding rule (angles proportional to shares).

Option D:
Option D is incorrect because it omits B and does not include all the true statements together, so it cannot be correct.

A is correct because bar height/length represents magnitude. C is correct because relative heights show ranking even without exact labels. D is correct because clustered bars require a legend/key to identify series. B is false because bar charts can be horizontal. E is false because the encoded value is usually height/length, not width. Thus A, C and D only are correct.

Option A:
Option A is incomplete because it omits D, which is important for interpreting grouped/clustered bar charts.

Option B:
Option B is incorrect because it adds E, which wrongly claims bar width encodes the data value.

Option C:
Option C is wrong because it omits A, the fundamental definition of bar charts where bar height/length is proportional to value.

Option D:
Option D is correct because it combines the basic encoding rule, comparative interpretation and the need for a legend in clustered charts, while excluding B and E, which are incorrect.

Statement A describes how line graphs display data as connected points, often across time. Statement B is correct because line graphs are designed to show trends and changes over intervals clearly. Statement D is also true; in exams candidates often estimate values when scale markings are coarse. Statement C is false since multiple lines are precisely used to compare series, and E is false because years and months are very common on the horizontal axis for such graphs. Thus A, B and D only are correct, which matches option B.

Option A:
Option A is incomplete because it leaves out D, failing to mention the practical aspect of approximate reading from line graphs, which is typical in NET data interpretation.

Option B:
Option B is correct as it gathers the basic definition, the main use for detecting trends and the realistic need for approximation, while excluding C and E, which misrepresent the comparative and temporal use of line graphs.

Option C:
Option C is wrong because it includes E, which wrongly bans years or months on the axis, and it omits A, thereby combining an error with the omission of a central property.

Option D:
Option D is incorrect since it includes C, which claims that simultaneous comparison is impossible, when in fact it is one of the main reasons for drawing multi-line graphs.

Statements A and B are correct because headings define the meaning of each cell and percentages may reveal relative importance even when absolute numbers differ. Statement D is true in noting that trends over time are often more insightful than isolated figures, and E correctly states that approximation is acceptable when explicitly permitted, supporting speed in timed tests. Statement C is false because the largest absolute number may not correspond to the largest percentage if totals differ across rows. Therefore, the combination A, B, D and E only is correct.

Option A:
Option A is incomplete since it omits E and thus does not include the practical exam strategy of using approximations where allowed, which is important in NET-style data interpretation questions.

Option B:
Option B is also incomplete because although A, B and E are true, it excludes D and so fails to mention the value of analysing trends across years or categories, a key skill in interpreting tables.

Option C:
Option C is wrong because it does not include A and thereby ignores the fundamental role of headings, and it still omits the explicit rejection of C. Although B, D and E are true, leaving out A reduces completeness.

Option D:
Option D is correct as it unites all four true statements and excludes C, which oversimplifies the relationship between absolute numbers and percentages. It matches the way candidates are expected to reason with tabular data in the exam.

A, B and C describe good principles of reading a single graph: scale affects visual impression, legends identify categories and, within one graph, equal heights match equal values. D is wrong because equal heights on different graphs with different scales may correspond to different actual values. E is also wrong because in many data interpretation questions candidates must convert units (such as thousands to lakhs or minutes to hours). Therefore, D and E only are the incorrect statements.

Option A:
Option A captures only D as wrong and overlooks E, which incorrectly claims unit conversions are never needed. Because it fails to include all wrong statements, this option is not adequate.

Option B:
Option B treats only E as wrong and ignores the error in D regarding comparing heights across graphs with different scales. Thus it also fails to identify the complete set of wrong statements.

Option C:
Option C is correct because it selects both D and E, the two statements that mislead about cross-graph comparisons and the need for unit conversions, while leaving A, B and C intact as good interpretation practices.

Option D:
Option D incorrectly adds C to the set of wrong statements even though C is true for any single graph using a consistent scale. Including C makes this combination inaccurate.

Statements A, B, C and D correctly describe bar graphs and histograms. A states the proportional representation of values by bar lengths. B is true because bar graphs are suited to comparing discrete categories such as years or regions. C accurately distinguishes histograms as bar-like representations of continuous class intervals with no gaps. D is correct since in practice examinees sometimes estimate values when scale divisions are not fine. E is false because both vertical and horizontal bar graphs are acceptable ways to present data. Therefore, A, B, C and D only are correct.

Option A:
Option A is correct because it brings together the essential properties and uses of bar graphs and histograms and leaves out E, which wrongly forbids horizontal bars. It reflects the standard data interpretation conventions in NET examinations.

Option B:
Option B is incomplete because it omits D, failing to mention the realistic need for approximation when reading from coarse scales, which is a practical aspect of graph use. This omission makes the option less comprehensive.

Option C:
Option C is incorrect as it includes only B, C and D and omits A, so it never states the basic proportionality between bar length and value. Without A, the central representational feature of bar graphs is missing.

Option D:
Option D is wrong because it contains E, which incorrectly bans horizontal bar charts, and drops B, so it both introduces an error and loses a key comparative property of bar graphs.

Statements A, B and C capture the standard relationships between percentages and angles in a pie chart. A correctly states that the entire circle is 100 percent. B gives the direct formula for converting a percentage to its central angle. C provides the inverse operation, dividing the angle by 3.6 to obtain the percentage. D is false because if the total value is given, absolute amounts for each sector can be calculated from percentages, and E is false since bar graphs are usually better for exact comparisons when many categories have similar sizes. Therefore, A, B and C only form the correct set.

Option A:
Option A is correct because it includes all three true statements about percentage–angle conversions and excludes D and E, which misrepresent the capabilities and comparative usefulness of pie charts. It gives exactly the relationships that candidates routinely use in NET data interpretation.

Option B:
Option B is incomplete, as it covers only A and B and ignores C, thereby failing to mention the reverse conversion from angles back to percentages. Without C, the explanation of how to read pie charts is only half finished.

Option C:
Option C is incorrect because it includes D, the false claim that absolute totals can never be deduced when totals are known, and thus mixes an error into an otherwise correct combination. Once a wrong statement is included, the option cannot be considered correct.

Option D:
Option D is wrong because it omits A and adds only B and C, not explicitly affirming that the full circle represents 100 percent, and also does not address the incorrect statements in D and E. This makes it an incomplete and therefore invalid combination.

Statement A is correct since with equal maxima the candidate corresponding to the larger ratio part has the higher score. Statement C is true because when group sizes differ, the overall average must weight each group average by its size. D is also correct since percentages place different exams on a common scale and make comparisons meaningful. E is correct because ratios and percentages adjust for different totals and show relative performance better than raw marks alone. B is false because simply averaging group means without considering sizes can give wrong overall values, so A, C, D and E only are correct.

Option A:
Option A is incomplete; although it lists A and C, it omits D and E and thus fails to acknowledge the role of percentages and relative measures in comparing performance. As a result, it does not give the full conceptual picture required.

Option B:
Option B is also incomplete because it leaves out E and includes only A, C and D, so it does not stress the comparative advantage of ratios and percentages over raw scores in unequal situations.

Option C:
Option C is wrong because it includes only C, D and E and omits A, losing the simple but important fact that the greater ratio component corresponds to higher marks under equal maxima. The combination is therefore not fully correct.

Option D:
Option D is correct because it brings together the ideas of ratio comparison, weighted averaging and the usefulness of percentages and relative measures, while excluding B, which misapplies the averaging rule. It mirrors the reasoning needed for NET data interpretation problems on exam marks.