CA Foundation · Quantitative Aptitude · Index Numbers
Which of the following best describes the 'sampling error' limitation in constructing index numbers?
Sampling error arises because an index uses only a sample of commodities and price quotations rather than the whole population, so it may not exactly represent the true price movement. A poorly chosen or small sample leads to a biased or inaccurate index.
- AThe index is wrong because the base year is too far in the past
- BThe index cannot be converted from one base to another
- CSince only a sample of commodities and price quotations is used, the index may not exactly represent the whole population of pricesCorrect
- DThe index gives equal weight to all commodities by definition
Explanation
Index numbers are built from a selected sample of items and markets, not every commodity and price. A sample that is unrepresentative or too small causes the index to deviate from the true price movement. Base distance, base shifting and weighting are separate issues.
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