Measures of Dispersion MCQs

Prepare for Measures of Dispersion MCQs with verified questions, past-paper solutions, and conceptual explanations for CSS, PMS, FPSC, PPSC, and NTS examinations.

141 Solved Questions • 106 Mins Practice • Updated for 2026 Competitive Exams
MCQS
2026 Solved Edition · Updated October 2026 · Verified Editorial Standards

Welcome to the verified preparation module for Descriptive Statistics on McqsMind. This comprehensive set offers solved multiple-choice questions with answers, detailed explanations, and authentic past-paper style questions aligned with the latest syllabus of Descriptive Statistics (Statistics).

100% Verified Answer Keys CSS, PMS, FPSC, PPSC, NTS Ready 2026/2027 Syllabus Guidelines

Direct Definition & Conceptual Scope

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Measures of Dispersion constitutes an essential examination topic within Statistics, evaluating theoretical principles, historical context, and practical problem-solving applications. On MCQsMind, candidates practice verified past-paper solutions, conceptual breakdowns, and syllabus-aligned questions tailored for CSS, PMS, and competitive screening examinations.

Solved Questions

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141 MCQs Page 6

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51
What is the statistical term for the degree to which numerical data points tend to disperse or spread around a central average value?
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52
If a dataset consists of ten identical values, each equal to 10, what is the standard deviation?
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53
What measure is obtained by multiplying the arithmetic mean by the coefficient of mean absolute deviation?
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54
Which statistical measure represents the dispersion or spread of data points relative to the mean?
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55
According to Chebyshev's Inequality, what is the minimum percentage of data values that must lie within two standard deviations of the population mean?
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56
Under what condition is the variance of a dataset equal to zero?
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57
If the calculated total sum of squares in a sample variance analysis exceeds the observed variation in the dataset, how is the relationship characterized?
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58
What is the term for the measure derived from the arithmetic mean of the absolute deviations of data points from their average?
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59
On what basis are average deviation and distance measures categorized within the study of dispersion?
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60
What is the standard formula used to calculate the coefficient of range for a dataset?
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Pedagogical Syllabus Blueprint

Measures of Dispersion MCQs: Preparation Strategy & Exam Blueprint

Examination Weightage & Commission Distribution

In Pakistan's premier competitive examinations—including the Federal Public Service Commission (FPSC General Recruitment & CSS MPT), Punjab Public Service Commission (PPSC Lecturer, Tehsildar & PMS Screening), KPPSC, SPSC, and BPSC—questions derived from Measures of Dispersion MCQs consistently constitute a decisive 10% to 25% weightage of the Descriptive Statistics paper. Testing agencies frequently evaluate both foundational factual recall and deeper analytical comprehension, requiring aspirants to master key dates, statutory articles, constitutional clauses, and thematic definitions.

High-Yield Conceptual Pillars & Distractor Analysis

Historical trend analysis across past five-year examination cycles demonstrates that examiner traps frequently involve closely matched numerical alternatives, chronologically contiguous treaties, and semantic subtleties in statutory phraseology. When preparing Measures of Dispersion MCQs, candidates must deliberately review the underlying rationale provided for every question rather than merely memorizing raw answer options. Understanding why incorrect distractors fail is the most reliable predictor of achieving top percentiles in computerized and optical mark recognition (OMR) screening tests.

Negative Marking Mitigation & Time Management Protocol

For examinations enforcing negative marking penalties (such as PPSC's 0.25-mark deduction per erroneous response or NTS gatekeeper quotas), an aggressive elimination technique must be deployed. Candidates should systematically rule out improbable options first to elevate probability thresholds from 25% to 50% or 100%. Allocating an average of 45 to 60 seconds per item during mock trials builds the psychological stamina and cognitive precision required to complete 100-question papers within official 90-minute time limits.

Recommended Reference Sources & Statutory Reading

To achieve definitive conceptual mastery in Statistics, candidates are advised to cross-reference our solved explanations with primary gazettes, statutory texts, and canonical academic textbooks. Verifying controversial questions against authentic official repositories guarantees that prospective civil servants and professional candidates present incontestable answers during both optical paper evaluations and viva voce departmental interviews.