## Credits

Kamala Nehru College, University of Delhi (KNC), New Delhi
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Walchand College of Engineering (WCE), Sangli
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## Linear Transformation of mean Solution

STEP 0: Pre-Calculation Summary
Formula Used
mean_of_y = Proportionality constant*Mean of X+Proportionality constant
= m*+b
This formula uses 3 Variables
Variables Used
Proportionality constant- Proportionality constant, m is a constant whose value varies from 0 to n.
Mean of X- Mean of X is the mean of all the values of X.
Proportionality constant- Proportionality constant, b is a constant from 0 t n.
STEP 1: Convert Input(s) to Base Unit
Proportionality constant: 1 --> No Conversion Required
Mean of X: 15 --> No Conversion Required
Proportionality constant: 1 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
= m*+b --> 1*15+1
Evaluating ... ...
= 16
STEP 3: Convert Result to Output's Unit
16 --> No Conversion Required
16 <-- Mean of Y
(Calculation completed in 00.000 seconds)

## < 10+ Mean, Median and Mode Calculators

Mode of frequency
mode_of_data = Largest item+((Maximum frequency-Frequency preceding modal class)/((2*Maximum frequency)-Frequency following modal class-Frequency preceding modal class))*Size of modal class Go
Mode given mean and median
mode_of_data = Mean of data-3*(Mean of data-Median of data) Go
Mean using Z score
mean_of_data = Value of A-Z Score*Standard Deviation Go
Population mean
mean_of_data = Sum of observation/Number of elements in population Go
Sample mean
mean_of_data = Sum of observation/Number of items in sample Go
Mean using coefficient of variation
mean_of_data = Standard Deviation/Coefficient of variation Go
Median given mean and mode
median_of_data = (2*Mean of data-Mode of data)/3 Go
Median of data
median_of_data = (2*Mean of data+Mode of data)/3 Go
Mean of data
mean_of_data = (3*Median of data-Mode of data)/2 Go
Mode of data
mode_of_data = 3*Median of data-3*Mean of data Go

### Linear Transformation of mean Formula

mean_of_y = Proportionality constant*Mean of X+Proportionality constant
= m*+b

## What is linear transformation?

A linear transformation is defined as a variation to a variable characterized by one or more of the subsequent procedures: adding a constant to the variable, subtracting a constant from the variable, multiplying the variable by a constant, and/or dividing the variable by a constant.

## How to Calculate Linear Transformation of mean?

Linear Transformation of mean calculator uses mean_of_y = Proportionality constant*Mean of X+Proportionality constant to calculate the Mean of Y, The Linear Transformation of mean is defined as the variation in the mean value of random variables Y and X preserves the operations of vector addition and scalar multiplication. Mean of Y is denoted by symbol.

How to calculate Linear Transformation of mean using this online calculator? To use this online calculator for Linear Transformation of mean, enter Proportionality constant (m), Mean of X (x̅) & Proportionality constant (b) and hit the calculate button. Here is how the Linear Transformation of mean calculation can be explained with given input values -> 16 = 1*15+1.

### FAQ

What is Linear Transformation of mean?
The Linear Transformation of mean is defined as the variation in the mean value of random variables Y and X preserves the operations of vector addition and scalar multiplication and is represented as = m*+b or mean_of_y = Proportionality constant*Mean of X+Proportionality constant. Proportionality constant, m is a constant whose value varies from 0 to n, Mean of X is the mean of all the values of X & Proportionality constant, b is a constant from 0 t n.
How to calculate Linear Transformation of mean?
The Linear Transformation of mean is defined as the variation in the mean value of random variables Y and X preserves the operations of vector addition and scalar multiplication is calculated using mean_of_y = Proportionality constant*Mean of X+Proportionality constant. To calculate Linear Transformation of mean, you need Proportionality constant (m), Mean of X (x̅) & Proportionality constant (b). With our tool, you need to enter the respective value for Proportionality constant, Mean of X & Proportionality constant 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 Mean of Y?
In this formula, Mean of Y uses Proportionality constant, Mean of X & Proportionality constant. We can use 10 other way(s) to calculate the same, which is/are as follows -
• mean_of_data = (3*Median of data-Mode of data)/2
• median_of_data = (2*Mean of data+Mode of data)/3
• mode_of_data = 3*Median of data-3*Mean of data
• mean_of_data = Value of A-Z Score*Standard Deviation
• mean_of_data = Standard Deviation/Coefficient of variation
• mode_of_data = Mean of data-3*(Mean of data-Median of data)
• median_of_data = (2*Mean of data-Mode of data)/3
• mode_of_data = Largest item+((Maximum frequency-Frequency preceding modal class)/((2*Maximum frequency)-Frequency following modal class-Frequency preceding modal class))*Size of modal class
• mean_of_data = Sum of observation/Number of elements in population
• mean_of_data = Sum of observation/Number of items in sample Let Others Know