Measures of Dispersion

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Welcome! 1.2 Measures of Dispersion β€” Test 1 — 20 questions, CSIR-NET style.

What this test covers

  • Range, variance & standard deviation
  • Coefficient of variation & relative dispersion
  • Quartile deviation, IQR & standard error
  • Absolute vs relative measures of spread

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1.2 Measures of Dispersion β€” Test 1
Q1. The range of a data set is calculated as:βœ“ Highest value βˆ’ lowest value
Q2. The variance of a data set is:βœ“ The average of the squared deviations from the mean
Q3. The standard deviation is:βœ“ The square root of the variance
Q4. The square of the standard deviation is the:βœ“ Variance
Q5. The coefficient of variation (CV) is calculated as:βœ“ (Standard deviation Γ· mean) Γ— 100
Q6. The coefficient of variation is especially useful for:βœ“ Comparing the variability of two data sets with different units or means
Q7. The standard deviation is preferred over the range because the standard deviation:βœ“ Uses all observations, not just the two extremes
Q8. The quartile deviation (semi-interquartile range) is calculated as:βœ“ (Q3 βˆ’ Q1) Γ· 2
Q9. The standard error of the mean is given by:βœ“ Standard deviation Γ· √n
Q10. A measure of dispersion describes the:βœ“ Spread or variability of the data around a central value
Q11. A key limitation of the range as a measure of dispersion is that it:βœ“ Is greatly affected by extreme values and ignores the rest
Q12. The units of variance, compared with the units of the original data, are:βœ“ Squared (e.g. cm becomes cmΒ²)
Q13. The standard deviation has the same units as the data, which makes it:βœ“ Easier to interpret than the variance
Q14. Between two data sets with the same mean, the one with the smaller standard deviation is:βœ“ More consistent (less variable)
Q15. The coefficient of variation is expressed as:βœ“ A percentage (and is therefore unit-free)
Q16. The interquartile range (IQR) is defined as:βœ“ Q3 βˆ’ Q1
Q17. Variance can never be negative because it is based on:βœ“ Squared deviations, which are always non-negative
Q18. Absolute measures of dispersion (like SD) differ from relative measures (like CV) in that absolute measures:βœ“ Are expressed in the units of the data
Q19. A standard deviation of zero for a data set indicates that:βœ“ All values are identical (no variability)
Q20. Match each measure of dispersion with its description and select the correct option.βœ“ A-ii, B-i, C-iv, D-iii