Maximum Value of Data given Mid Range Calculator

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✖Mid Range of Data is the average of the maximum and minimum values in a dataset. It serves as a measure of centrality, providing a rough estimate of the midpoint of the data spread.ⓘ Mid Range of Data [R_Mid]			+10% -10%
✖Minimum Value of Data is the smallest or lowest value in a given dataset. It represents the lower extreme of the data points and provides insights into the lower limit of the observed values.ⓘ Minimum Value of Data [X_Min]			+10% -10%

✖Maximum Value of Data is the largest or highest value in a given dataset. It represents the upper extreme of the data points and provides insights into the upper limit of the observed values.ⓘ Maximum Value of Data given Mid Range [X_Max]

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Maximum Value of Data given Mid Range Solution

STEP 0: Pre-Calculation Summary

Formula Used

Maximum Value of Data = (2*Mid Range of Data)-Minimum Value of Data
X_Max = (2*R_Mid)-X_Min
This formula uses 3 Variables

Variables Used

Maximum Value of Data - Maximum Value of Data is the largest or highest value in a given dataset. It represents the upper extreme of the data points and provides insights into the upper limit of the observed values.
Mid Range of Data - Mid Range of Data is the average of the maximum and minimum values in a dataset. It serves as a measure of centrality, providing a rough estimate of the midpoint of the data spread.
Minimum Value of Data - Minimum Value of Data is the smallest or lowest value in a given dataset. It represents the lower extreme of the data points and provides insights into the lower limit of the observed values.

STEP 1: Convert Input(s) to Base Unit

Mid Range of Data: 28 --> No Conversion Required
Minimum Value of Data: 6 --> No Conversion Required

STEP 2: Evaluate Formula

Substituting Input Values in Formula

X_Max = (2*R_Mid)-X_Min --> (2*28)-6

Evaluating ... ...

X_Max = 50

STEP 3: Convert Result to Output's Unit

50 --> No Conversion Required

FINAL ANSWER

50 <-- Maximum Value of Data

(Calculation completed in 00.005 seconds)

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< Maximum and Minimum Values of Data Calculators

Maximum Value of Data given Class Width

LaTeX Go Maximum Value of Data = (Number of Classes*Class Width of Data)+Minimum Value of Data

Maximum Value of Data given Mid Range

LaTeX Go Maximum Value of Data = (2*Mid Range of Data)-Minimum Value of Data

Minimum Value of Data given Mid Range

LaTeX Go Minimum Value of Data = (2*Mid Range of Data)-Maximum Value of Data

Mid Range of Data

LaTeX Go Mid Range of Data = (Maximum Value of Data+Minimum Value of Data)/2

Maximum Value of Data given Mid Range Formula

LaTeX Go

Maximum Value of Data = (2*Mid Range of Data)-Minimum Value of Data
X_Max = (2*R_Mid)-X_Min

What is the importance of Maximum and Minimum values of Data in Statistics?

In Statistics and data analysis it is important to be aware of the range of values in the given data. The maximum and minimum values in the data can give the range of values, and hence we will get an idea about the almost spread of the data points. Similarly, calculation of central tendencies like mean and median is one of the most fundamental calculation in statistical data analysis. Mean and median are highly related with maximum and minimum values. Depending on the magnitude of extreme values (maximum and minimum values) the value of mean will be vary proportionally, and value of median can also be changed in continuous data.

How to Calculate Maximum Value of Data given Mid Range?

Maximum Value of Data given Mid Range calculator uses Maximum Value of Data = (2*Mid Range of Data)-Minimum Value of Data to calculate the Maximum Value of Data, Maximum Value of Data given Mid Range formula is defined as the largest or highest value in a given dataset. It represents the upper extreme of the data points and provides insights into the upper limit of the observed values, and calculated using the mid range of the data. Maximum Value of Data is denoted by X_Max symbol.

How to calculate Maximum Value of Data given Mid Range using this online calculator? To use this online calculator for Maximum Value of Data given Mid Range, enter Mid Range of Data (R_Mid) & Minimum Value of Data (X_Min) and hit the calculate button. Here is how the Maximum Value of Data given Mid Range calculation can be explained with given input values -> 54 = (2*28)-6.

FAQ

What is Maximum Value of Data given Mid Range?

Maximum Value of Data given Mid Range formula is defined as the largest or highest value in a given dataset. It represents the upper extreme of the data points and provides insights into the upper limit of the observed values, and calculated using the mid range of the data and is represented as X_Max = (2*R_Mid)-X_Min or Maximum Value of Data = (2*Mid Range of Data)-Minimum Value of Data. Mid Range of Data is the average of the maximum and minimum values in a dataset. It serves as a measure of centrality, providing a rough estimate of the midpoint of the data spread & Minimum Value of Data is the smallest or lowest value in a given dataset. It represents the lower extreme of the data points and provides insights into the lower limit of the observed values.

How to calculate Maximum Value of Data given Mid Range?

Maximum Value of Data given Mid Range formula is defined as the largest or highest value in a given dataset. It represents the upper extreme of the data points and provides insights into the upper limit of the observed values, and calculated using the mid range of the data is calculated using Maximum Value of Data = (2*Mid Range of Data)-Minimum Value of Data. To calculate Maximum Value of Data given Mid Range, you need Mid Range of Data (R_Mid) & Minimum Value of Data (X_Min). With our tool, you need to enter the respective value for Mid Range of Data & Minimum Value of Data and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.

How many ways are there to calculate Maximum Value of Data?

In this formula, Maximum Value of Data uses Mid Range of Data & Minimum Value of Data. We can use 2 other way(s) to calculate the same, which is/are as follows -

Maximum Value of Data = (Number of Classes*Class Width of Data)+Minimum Value of Data
Maximum Value of Data = Range of Data+Minimum Value of Data

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