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Variance and Standard Deviation MCQs

Prepare for Variance and Standard Deviation MCQs with verified questions, past-paper solutions, and conceptual explanations for CSS, PMS, FPSC, PPSC, and NTS examinations.

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Topic Notes: Variance and Standard Deviation

These notes summarize the key preparation context before you attempt the MCQs. Review the topic focus, then practice the questions below with answers and explanations.

Quick Overview

Master Variance and Standard Deviation MCQs for Competitive Exams with our comprehensive, verified question bank. Designed for students and competitive exam aspirants across Pakistan, this study resource provides topic-wise practice questions for CSS, PMS, FPSC, PPSC, SPSC, KPPSC, BPSC, NTS, and university entry tests.

Exam Focus
Aligned with FPSC, PPSC, and CSS syllabus criteria for Variance and Standard Deviation.
Past Papers
Includes frequently repeated questions from past examinations.
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Each question features verified answers and conceptual explanations.

Preparation Guide & Key Focus Areas for Variance and Standard Deviation MCQs

When preparing for Variance and Standard Deviation MCQs (Finance), focus on core definitions, historical timelines, relevant provisions, and commonly tested factual points. Review each question below, test your knowledge against the given options, and inspect the detailed explanation to solidify your understanding.

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1
If all data points lie exactly on a regression line, what is the degree of dispersion?
2
In a normal probability distribution, what range encompasses approximately 95.46% of the data points?
3
In a normal probability distribution, what range encompasses 68.26% of the data points?
4
How is the standard error calculated for a sample of 100 students' exam results with a known standard deviation of 14?
5
In the context of probability distributions, what does a tighter distribution imply regarding its standard deviation?
6
In a normal distribution, what range covers approximately 99.74% of the probability distribution?
7
Total risk is defined as the sum of market risk and diversifiable risk; which statistical measure represents this total risk?
8
How is the standard deviation of a tighter probability distribution characterized in financial risk analysis?
9
Given a standard deviation of 18% and an expected return of 15.5%, what is the coefficient of variation?
10
Which statistical metric is calculated using the formula: 1 – (unexplained variation / total variation)?