Curioustab
Aptitude
General Knowledge
Verbal Reasoning
Computer Science
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Aptitude
General Knowledge
Verbal Reasoning
Computer Science
Interview
Take Free Test
Cause and Effect Questions
Cause–effect classification in fuel pricing — with domestic petrol/diesel prices unchanged for months while international crude oil prices have risen substantially, identify the most appropriate cause–effect relationship between the statements
Cause–effect reasoning on education fees — parents’’ agitation against high unaided-institution fees last year versus the government’s recent decision to fix much lower fees: determine which statement is the cause and which is the effect
Cause–effect analysis in banking regulation — RBI restricts a few small banks and the small private/co-operative banks cannot withstand competition from larger public sector banks: choose the correct causal linkage
Cause–effect determination in school closures — all schools in an area remained closed for most of the week and many parents withdrew their children from local schools: identify the correct cause–effect relationship
Cause–effect reasoning classification with business and trade context: Evaluate Statements I and II — 'India has surpassed all previous years' value of tea exports this year owing to higher European demand for quality tea' and 'Domestic demand for coffee has increased during the last two years' — and determine whether one causes the other, whether each is an independent effect, or whether both are effects of a common but unstated cause.
Analytical reasoning on unemployment and job applications: Assess Statements I and II — 'There is an unprecedented year-on-year rise in the number of young unemployed' and 'A bank's manager post advertisement drew a very large number of applications' — to identify whether one is the cause and the other its effect or another relationship.
Civic response logic: Determine the relationship between Statements I and II — 'Police recently apprehended a group of house breakers' and 'Local citizens have started night vigil in the area' — classifying them as cause, effect, or outcomes of shared antecedents.
University affiliation and funding decision analysis: Judge the link between Statements I and II — 'Most students oppose the college authority's plan to break away from the university and become autonomous' and 'The university says it cannot provide grants to its constituent colleges' — to decide the most appropriate cause–effect classification.
Public administration and literacy outcomes: Evaluate Statements I and II — 'The district's literacy rate has been rising for the last four years' and 'District administration conducted extensive training for literacy-drive workers' — to decide the most accurate cause–effect classification.
School scheduling versus private tuition decision-making: Analyze Statements I and II — 'School mandates special Sunday classes for Grade X students' and 'Parents discontinue private Sunday tuitions for their wards' — to determine the precise causal relationship.
Trade policy impact on prices: Judge Statements I and II — 'Government imported large quantities of sugar under trade agreements' and 'Domestic sugar prices have fallen sharply in recent months' — and classify the relationship (cause, effect, independent, or common cause).
Agricultural shortfall and import decision: Evaluate Statements I and II — 'There is a sharp decline in oilseed production this year' and 'Government has decided to increase the import quantum of edible oil' — and identify the correct cause–effect linkage.
Fee policy comparison in medical education: Analyze Statements I and II — 'Private medical colleges increased tuition by 200% over last year to meet expenses' and 'Government medical colleges did not increase fees despite price escalation' — to determine whether these are linked or stem from independent causes.
Disaster management sequence assessment: Determine the relationship between Statements I and II — 'Many residents in low-lying areas were evacuated to safer places over the last few days' and 'Government rushed relief supplies to people in the affected areas' — classifying them within the cause–effect framework.
Cause–effect analytical reasoning: Air pollution reduction target vs. rising asthma cases — identify whether Statement I causes Statement II, Statement II causes Statement I, or if they are independent/effects of a common cause (critical thinking question).
Causation in banking co-operative context: Loan stoppage vs. deposit withdrawals — identify the correct cause–effect relationship with precise logical evaluation.
Logical independence evaluation: Bank employees’ strike notice vs. Central Government employees ending demonstrations — classify as cause, effect, or independent effects.
Civic protest dynamics: Police lathi-charge to disperse an unlawful gathering vs. citizens’ strike against police atrocities — determine the correct cause–effect direction.
Socioeconomic inference: High-income locality composition vs. higher supermarket sales — establish the proper cause–effect classification with justification.
Public health reasoning: Fast, demanding modern life leading to stress vs. rising teenage suicides — select the most defensible cause–effect interpretation.
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