All Exams Test series for 1 year @ ₹349 only
Question

'Range' is defined as :

The correct answer is
Difference between the largest value and smallest value in the distribution

Range Definition Explained

The 'Range' is a fundamental concept in statistics used to measure the dispersion or spread of a dataset. It provides a simple way to understand the extent of variability within the data.

Understanding Statistical Range

In statistics, the Range is defined as the difference between the maximum (largest) value and the minimum (smallest) value present in a data distribution.

Mathematically, it is calculated as:

$ \text{Range} = \text{Largest Value} - \text{Smallest Value} $

Analysis of Options

  • Option 1: Aggregate of all the values in the distribution - This describes the sum or total of the values, not the range.
  • Option 2: Middle values of the distribution - This refers to concepts like the median, which represents the central point, not the total spread.
  • Option 3: Difference between the largest value and smallest value in the distribution - This correctly defines the Range. It measures the complete spread from the lowest to the highest point in the data.
  • Option 4: Value which has maximum frequency in the given distribution - This defines the Mode, another measure of central tendency, not the range.

Conclusion

Based on the standard statistical definition, the Range is the difference between the maximum and minimum values in a dataset.

Was this answer helpful?

Important Questions from Measures of Dispersion

  1. When Mean deviation is divided by the average used in finding out the mean deviation itself, the resulting quantity is described as_____________.
    .

  2. Match List - I with List - II.

    List - IList - II
    (A) Coefficient of Dispersion   (I) Standard deviation as a percentage of mean
    (B) Standard Deviation(II) Mean of squared deviations of individual scores from mean
    (C) Coefficient of variation(III) Variance in terms of mean
    (D) Variance(IV) Positive square root of variance
  3. Two sets of data consisting of 10 and 20 observations have same mean 8 with standard deviations of 1 and 2, respectively. If the two data sets are combined, then the variance is
  4. Two data set of sizes 9 and 6 have standard deviation 3 and 4 respectively and arithmetic means 3 respectively. The standard deviation of combined data set of size 15 is

  5. Variance is independent of change of :

Need Expert Advice?

Start Your Preparation with Prepp Mobile App

Download the app from Google Play & App Store
Download the app from Google Play & App Store
Prepp Mobile App