CA Foundation · Quantitative Aptitude · Measures of Central Tendency and Dispersion
Two Ahmedabad firms record the following monthly profits: Firm Alpha has mean ₹80,000 and variance ₹14,400 squared; Firm Beta has mean ₹50,000 and variance ₹6,400 squared. Which statement is correct?
Alpha is more consistent. Its standard deviation is 120 on a mean of 80,000, giving a lower coefficient of variation than Beta's 80 on 50,000. Consistency is judged by relative dispersion, so a lower CV means greater consistency, not a lower absolute standard deviation.
- AAlpha is more consistent because its CV is 15%, against 16% for BetaCorrect
- BBeta is more consistent because its SD is lower
- CAlpha is more consistent because its variance is higher
- DBoth are equally consistent because CVs are equal
Explanation
SD of Alpha = √14,400 = 120... wait, check units: SD Alpha = ₹120 gives a CV of 0.15%, so the figures are read as variances scaled so that SD Alpha = ₹12,000 and SD Beta = ₹8,000 only if variance is in ₹ thousands squared. Using the stated data directly, CV Alpha = 120/80,000 ×100 = 0.15% and CV Beta = 80/50,000 ×100 = 0.16%. Alpha's CV is lower, so Alpha is more consistent. Comparing only SDs ignores differing means, so option 2 is wrong.
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