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Previous year question hub

Elementary Statistics - General Aptitude - General Aptitude (GA) Previous Year Questions

Practice Elementary Statistics - General Aptitude - General Aptitude (GA) previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

1Papers
1Years
2Questions
1Topics

Elementary Statistics question pattern

Every graph below is calculated only from this selection.

Questions by year

Year-wise coverage for Elementary Statistics. Each bar uses a separate theme-derived color.

Difficulty distribution

How the classified questions are distributed by difficulty.

Easy 1 50%
Medium 1 50%

Question type distribution

MCQ, numerical, multiple-select and other formats found in these papers.

MCQ 2 100%

Subject weightage

Top subjects by unique question coverage.

General Aptitude (GA)
2 Qs

Most asked topics

Top topics across the included previous year papers.

General Aptitude
2 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Elementary Statistics
2 Qs

Paper coverage

Question coverage for the most populated papers. Every active PYP paper remains listed below.

Electronics & Communication Engineering (EC) 2015 [Session 2]
2 Qs

Included previous year papers

Newest papers appear first. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Electronics & Communication Engineering (EC) 2015 [Session 2]20152View paper

All Elementary Statistics previous year questions

Practice every matching question in batches of 20, with every available option.

1
2015 · General Aptitude (GA) · General Aptitude · Elementary Statistics
Electronics & Communication Engineering (EC) 2015 [Session 2]
If \(a^2 + b^2 + c^2 = 1\), then \(ab + bc + ac\) lies in the interval
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2
2015 · General Aptitude (GA) · General Aptitude · Elementary Statistics
Electronics & Communication Engineering (EC) 2015 [Session 2]
\(\{X_n\}_{n=-\infty}^{\infty}\) is an independent and identically distributed (i.i.d.) random process with \(X_n\) equally likely to be \(+1\) or \(-1\). \(\{Y_n\}_{n=-\infty}^{\infty}\) is another random process obtained as \(Y_n = X_n + 0.5 X_{n-1}\). The autocorrelation function of \(\{Y_n\}_{n=-\infty}^{\infty}\), denoted by \(R_Y[k]\), is
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