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 math & puzzles
  1. 14

  2. 18

  3. 20

  4. 30

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

The second of the 9 consecutive numbers is X+1. Interchanging its digits raised the average by 8, so the sum increased by 9 x 8 = 72. Thus the interchanged number minus the original equals 72. For X=18, the second number is 19; 91 - 19 = 72, which fits. Other choices do not produce this difference.

Multiple choice general knowledge math & puzzles
  1. 10

  2. 12

  3. 40

  4. 20

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

To solve this question, the user needs to know how to find the average of a set of numbers and how to work with consecutive numbers.

The average of a set of numbers is found by adding up all the numbers in the set and then dividing by the total number of numbers.

For a set of consecutive numbers, the average of the set is equal to the middle number.

To find the difference between the averages of the first and last 10 numbers, we need to find the average of the first 10 numbers and the average of the last 10 numbers, and then subtract the former from the latter.

Let's represent the first number by x. Then, the next 29 consecutive numbers will be x+1, x+2, x+3, ..., x+28, x+29.

The average of the first 10 numbers will be the middle number of the set of the first 10 numbers. Since there are 10 numbers, the middle number will be the 5th number. Therefore the average of the first 10 numbers will be:

$$\frac{x + (x+1) + (x+2) + ... + (x+8) + (x+9)}{10} = x + 4.5$$

Similarly, the average of the last 10 numbers will be the middle number of the set of the last 10 numbers. Since there are 10 numbers, the middle number will be the 25th number. Therefore the average of the last 10 numbers will be:

$$\frac{(x+20) + (x+21) + (x+22) + ... + (x+27) + (x+28) + (x+29)}{10} = x + 24.5$$

The difference between the averages of the first and last 10 numbers will be:

$$(x+24.5) - (x+4.5) = 20$$

Therefore, the answer is:

The Answer is: D. 20.

Multiple choice general knowledge science & technology
  1. mean = 15 , standard deviation = 6

  2. mean = 10 , standard deviation = 6

  3. mean = 15 , standard deviation = 1

  4. mean = 10 , standard deviation = 1

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

Adding a constant to every data value increases the mean by that constant but does not change the spread. New mean = 10 + 5 = 15. Standard deviation remains 1 because adding a constant shifts all values equally without changing their dispersion.

Multiple choice general knowledge math & puzzles
  1. 63.65

  2. 65.95

  3. 67.5

  4. 69.5

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

Original sum = 20 × 65 = 1300. But 96 was recorded instead of 69, so error = 96 - 69 = 27. Correct sum = 1300 - 27 = 1273. Correct mean = 1273/20 = 63.65. This matches option A. Option B (65.95) would result if we added 27 instead of subtracting.

Multiple choice general knowledge
  1. The value of ((n+1)/2) th observation

  2. The value of (n/2) th observation

  3. The mean of (n/2) and ((n/2) + 1) th observations

  4. The value of (n+2) th observation

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

For an odd number of observations (n), the median is the middle value when arranged in order, which is at position (n+1)/2. For example, with 7 observations, the median is the 4th value since (7+1)/2 = 4. Option C describes the formula for even-numbered observations.

Multiple choice general knowledge
  1. Mean / Standard Deviation

  2. Mean * Standard Deviation

  3. Mean + 2* Standard Deviation

  4. Standard Deviation / Mean

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

Coefficient of Variation (C.V.) is calculated as (Standard Deviation / Mean) × 100%, giving a dimensionless relative measure of dispersion. It allows comparison of variability between datasets with different units or magnitudes. Option A is the inverse of the correct formula.

Multiple choice general knowledge
  1. Square of Variance

  2. 2* Variance

  3. Variance / 2

  4. Square root of variance

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

Standard Deviation is the square root of variance, representing the average distance of data points from the mean in the original units. Variance is the average of squared deviations from the mean, so taking its square root returns to the original unit scale. Option A has the relationship reversed.

Multiple choice general knowledge
  1. Q1 - Q3

  2. Q3 - Q1

  3. (Q1 - Q3)/2

  4. (Q3 - Q1)/2

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

The inter-quartile range (IQR) measures the spread of the middle 50% of data. It is calculated as Q3 (75th percentile) minus Q1 (25th percentile), representing the range between the upper and lower quartiles.

Multiple choice general knowledge
  1. (Q3 - Q1)/2

  2. (Q3 + Q1)/2

  3. (Q3 - Q1)/4

  4. (Q3 + Q1)/4

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

Quartile deviation (QD) is defined as half the inter-quartile range: QD = (Q3 - Q1)/2. It is also called semi-inter-quartile range and measures the average spread from the median.