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Question #40994

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The Question

Let A=(xyzyzxzxy)A = \begin{pmatrix} x & y & z \\ y & z & x \\ z & x & y \end{pmatrix} be a real orthogonal matrix. Let SS be the data set consisting of the 9 entries of AA. If σ2\sigma^2 and μ\mu are the variance and mean of SS respectively, and V=σ∣μ∣V = \frac{\sigma}{|\mu|}, which of the following statements is true?

Options

  • A.

    V=2V = \sqrt{2} and det⁡(A)∈{−1,1}\det(A) \in \{-1, 1\}

  • B.

    V=3V = \sqrt{3} and det⁡(A)∈{−1,1}\det(A) \in \{-1, 1\}

  • C.

    VV is undefined because μ=0\mu = 0 and det⁡(A)=0\det(A) = 0

  • D.

    V=12V = \frac{1}{\sqrt{2}} and det⁡(A)∈{−1,1}\det(A) \in \{-1, 1\}

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Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Bridge

Practice problems that bridge the gap between foundational theory and advanced practical application.

Concepts Behind This Question

Standard Deviation and Coefficient of Variation|Orthogonal Matrix Conditions|Singular vs Non-Singular Matrices

Why This Question Is Tricky

Common Mistakes

This question tests the intersection of matrix algebra and statistics.

The core trap lies in the assumption that a symmetric-looking matrix with variables can be singular (det⁡(A)=0\det(A)=0), which would lead to x+y+z=0x+y+z=0 and an undefined coefficient of variation.

However, the rigid geometric constraint of an orthogonal matrix (AAT=IAA^T=I) forces the determinant to be ±1\pm 1 and strictly bounds the sum of the elements.

Students who fail to apply the orthonormal column conditions (x2+y2+z2=1x^2+y^2+z^2=1 and xy+yz+zx=0xy+yz+zx=0) will incorrectly deduce that μ=0\mu=0 is possible, falling for the domain error trap.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterStatistics - Class 11
ConceptStandard Deviation and Coefficient of Variation
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree