Range of Data Solution

STEP 0: Pre-Calculation Summary
Formula Used
Range of Data = Largest Item in Data-Smallest Item in Data
R = Max-Min
This formula uses 3 Variables
Variables Used
Range of Data - Range of Data is the difference between the maximum and minimum values in a dataset.
Largest Item in Data - Largest Item in Data is the highest value in the dataset, indicating the upper extreme of the observed values.
Smallest Item in Data - Smallest Item in Data is the lowest value in the dataset, indicating the lower extreme of the observed values.
STEP 1: Convert Input(s) to Base Unit
Largest Item in Data: 85 --> No Conversion Required
Smallest Item in Data: 5 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
R = Max-Min --> 85-5
Evaluating ... ...
R = 80
STEP 3: Convert Result to Output's Unit
80 --> No Conversion Required
FINAL ANSWER
80 <-- Range of Data
(Calculation completed in 00.004 seconds)

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Shri Madhwa Vadiraja Institute of Technology and Management (SMVITM), Udupi
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18 Basic Formulas in Statistics Calculators

P Value of Sample
Go P Value of Sample = (Sample Proportion-Assumed Population Proportion)/sqrt((Assumed Population Proportion*(1-Assumed Population Proportion))/Sample Size)
Sample Size given P Value
Go Sample Size = ((P Value of Sample^2)*Assumed Population Proportion*(1-Assumed Population Proportion))/((Sample Proportion-Assumed Population Proportion)^2)
t Statistic of Normal Distribution
Go t Statistic of Normal Distribution = (Sample Mean-Population Mean)/(Sample Standard Deviation/sqrt(Sample Size))
t Statistic
Go t Statistic = (Observed Mean of Sample-Theoretical Mean of Sample)/(Sample Standard Deviation/sqrt(Sample Size))
Chi Square Statistic
Go Chi Square Statistic = ((Sample Size-1)*Sample Standard Deviation^2)/(Population Standard Deviation^2)
Number of Classes given Class Width
Go Number of Classes = (Largest Item in Data-Smallest Item in Data)/Class Width of Data
Class Width of Data
Go Class Width of Data = (Largest Item in Data-Smallest Item in Data)/Number of Classes
Expectation of Difference of Random Variables
Go Expectation of Difference of Random Variables = Expectation of Random Variable X-Expectation of Random Variable Y
Chi Square Statistic given Sample and Population Variances
Go Chi Square Statistic = ((Sample Size-1)*Sample Variance)/Population Variance
Expectation of Sum of Random Variables
Go Expectation of Sum of Random Variables = Expectation of Random Variable X+Expectation of Random Variable Y
Number of Individual Values given Residual Standard Error
Go Number of Individual Values = (Residual Sum of Squares/(Residual Standard Error of Data^2))+1
F Value of Two Samples given Sample Standard Deviations
Go F Value of Two Samples = (Standard Deviation of Sample X/Standard Deviation of Sample Y)^2
Mid Range of Data
Go Mid Range of Data = (Maximum Value of Data+Minimum Value of Data)/2
F Value of Two Samples
Go F Value of Two Samples = Variance of Sample X/Variance of Sample Y
Smallest Item in Data given Range
Go Smallest Item in Data = Largest Item in Data-Range of Data
Largest Item in Data given Range
Go Largest Item in Data = Range of Data+Smallest Item in Data
Range of Data
Go Range of Data = Largest Item in Data-Smallest Item in Data
Relative Frequency
Go Relative Frequency = Absolute Frequency/Total Frequency

Range of Data Formula

Range of Data = Largest Item in Data-Smallest Item in Data
R = Max-Min

What is the Classification of data in Statistics?

For performing statistical analysis, various kinds of data are gathered by the investigator or analyst. The information gathered is usually in raw form which is difficult to analyze. To make the analysis meaningful and easy, the raw data is converted or classified into different categories based on their characteristics. This grouping of data into different categories or classes with similar or homogeneous characteristics is known as the Classification of Data. Each division or class of the gathered data is known as a Class. The different basis of classification of statistical information are Geographical, Chronological, Qualitative (Simple and Manifold), and Quantitative or Numerical. For example, if an investigator wants to determine the poverty level of a state, he/she can do so by gathering the information of people of that state and then classifying them on the basis of their income, education, etc.

How to Calculate Range of Data?

Range of Data calculator uses Range of Data = Largest Item in Data-Smallest Item in Data to calculate the Range of Data, Range of Data formula is defined as the difference between the maximum and minimum values in a dataset, and calculated using the largest and smallest items in the data. Range of Data is denoted by R symbol.

How to calculate Range of Data using this online calculator? To use this online calculator for Range of Data, enter Largest Item in Data (Max) & Smallest Item in Data (Min) and hit the calculate button. Here is how the Range of Data calculation can be explained with given input values -> 60 = 85-5.

FAQ

What is Range of Data?
Range of Data formula is defined as the difference between the maximum and minimum values in a dataset, and calculated using the largest and smallest items in the data and is represented as R = Max-Min or Range of Data = Largest Item in Data-Smallest Item in Data. Largest Item in Data is the highest value in the dataset, indicating the upper extreme of the observed values & Smallest Item in Data is the lowest value in the dataset, indicating the lower extreme of the observed values.
How to calculate Range of Data?
Range of Data formula is defined as the difference between the maximum and minimum values in a dataset, and calculated using the largest and smallest items in the data is calculated using Range of Data = Largest Item in Data-Smallest Item in Data. To calculate Range of Data, you need Largest Item in Data (Max) & Smallest Item in Data (Min). With our tool, you need to enter the respective value for Largest Item in Data & Smallest Item in Data and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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