Mathematics · Quantitative Aptitude

Statistics and Dispersion

515 Questions

Statistics and dispersion involve the calculation of mean, standard deviation, variance, and coefficient of variation for data sets. These questions also cover probability distributions and cumulative frequency analysis. Such quantitative aptitude topics are heavily featured in banking and SSC examinations.

Standard deviationNormal distributionMean calculationCumulative frequencyCoefficient of variation

Statistics and Dispersion Questions

Multiple choice general knowledge
  1. 100

  2. 110

  3. 150

  4. 135

Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

IQ scores are standardized so that the average (mean) score for a population is always 100, with a standard deviation of typically 15. This is a fundamental property of IQ testing - by definition, 100 represents average intelligence for the reference population. Scores above or below 100 indicate above or below average performance.

Multiple choice general knowledge
  1. F11

  2. F12

  3. F10

  4. F9

Reveal answer Fill a bubble to check yourself
A Correct answer
Explanation

In Microsoft Excel, pressing F11 instantly creates a default chart using the data in the selected range and places it on a separate chart sheet. This is a quick way to visualize data. F12 opens the Save As dialog, F10 activates the menu bar, and F9 recalculates formulas in workbooks set to manual calculation.

Multiple choice general knowledge
  1. Poverty

  2. Line

  3. Average

  4. Triangle

Reveal answer Fill a bubble to check yourself
C Correct answer
Explanation

In Hindi, 'Ausat' means average - the typical or central value in a set of numbers. It comes from the mathematical concept of arithmetic mean used in statistics.

Multiple choice technology enterprise content management
  1. Additive Fact

  2. Semi Additive Fact

  3. Non Additve Fact

  4. None of the above

Reveal answer Fill a bubble to check yourself
B Correct answer
Explanation

Semi-additive facts can be aggregated along some dimensions but not all. 'Average count of orders' is semi-additive because while you can compute averages across time periods, orders themselves are discrete events - you cannot meaningfully 'sum' order counts across time dimensions (adding yesterday's orders to today's doesn't produce a useful business metric). Additive facts (like revenue) can be summed across all dimensions; non-additive facts (like ratios) cannot be summed at all.