Financial Modeling Tutorials

- Financial Modeling Basics
- Excel Modeling
- Financial Functions in Excel
- Sensitivity Analysis in Excel
- Sensitivity Analysis
- Capital Budgeting Techniques
- Time Value of Money
- Future Value Formula
- Present Value Factor
- Perpetuity Formula
- Present Value vs Future Value
- Annuity vs Pension
- Present Value of an Annuity
- Doubling Time Formula
- Annuity Formula
- Annuity vs Perpetuity
- Annuity vs Lump Sum
- Deferred Annuity Formula
- Internal Rate of Return (IRR)
- IRR Examples (Internal Rate of Return)
- NPV vs XNPV
- NPV vs IRR
- NPV Formula
- NPV Profile
- NPV Examples
- PV vs NPV
- IRR vs ROI
- Break Even Point
- Payback Period & Discounted Payback Period
- Payback period Formula
- Discounted Payback Period Formula
- Profitability Index
- Cash Burn Rate
- Simple Interest
- Simple Interest vs Compound Interest
- Simple Interest Formula
- CAGR Formula (Compounded Annual Growth Rate)
- Effective Interest Rate
- Loan Amortization Schedule
- Mortgage Formula
- Loan Principal Amount
- Interest Rate Formula
- Rate of Return Formula
- Effective Annual Rate
- Effective Annual Rate Formula (EAR)
- Daily Compound Interest
- Monthly Compound Interest Formula
- Discount Rate vs Interest Rate
- Rule of 72
- Geometric Mean Return
- Real Rate of Return Formula
- Continuous compounding Formula
- Weighted average Formula
- Average Formula
- Average Rate of Return Formula
- Mean Formula
- Mean Examples
- Population Mean Formula
- Weighted Mean Formula
- Harmonic Mean Formula
- Median Formula in Statistics
- Range Formula
- Outlier Formula
- Decile Formula
- Midrange Formula
- Quartile Deviation
- Expected Value Formula
- Exponential Growth Formula
- Margin of Error Formula
- Decrease Percentage Formula
- Percent Error Formula
- Holding Period Return Formula
- Cost Benefit Analysis
- Cost Benefit Analysis Examples
- Cost Volume Profit Analysis
- Opportunity Cost Formula
- Opportunity Cost Examples
- Mortgage APR vs Interest Rate
- Normal Distribution Formula
- Standard Normal Distribution Formula
- Normalization Formula
- Bell Curve
- T Distribution Formula
- Regression Formula
- Regression Analysis Formula
- Multiple Regression Formula
- Correlation Coefficient Formula
- Correlation Formula
- Population Variance Formula
- Covariance Formula
- Coefficient of Variation Formula
- Sample Standard Deviation Formula
- Relative Standard Deviation Formula
- Standard Deviation Formula
- Volatility Formula
- Binomial Distribution Formula
- Quartile Formula
- P Value Formula
- Skewness Formula
- R Squared Formula
- Adjusted R Squared
- Regression vs ANOVA
- Z Test Formula
- F-Test Formula
- Quantitative Research

Related Courses

**Formula of Population Mean (Table of Contents)**

## What is Population Mean Formula?

The population mean is arrived at by summing up all the observations in the group and dividing the summation by the number of observations. When the whole set of data is taken for computing a statistical parameter, the set of data is the population. For example the returns of all the stocks listed in the NASDAQ stock exchange in the population of that group. For this example, the population mean for the return of all the stock listed in the NASDAQ stock exchange will be the average of the return all the stocks listed in that exchange.

In order to calculate the population mean for a group we first need to find out the sum of all the observed values. So, if the total number of observed values is denoted by X then the summation of all the observed values will be ∑X. And let the number of observations in the population is N.

The population mean formula is represented as follows,

**µ= ∑X/N**

- µ= Population mean

### Examples of Population Mean Formula (with Excel Template)

Let’s take an example to understand the calculation of Population Mean Formula in a better manner.

#### Example #1

**Let us try to find out how to calculate the population mean with the help of an example. Let us try to analyse the return of a stock XYZ for the last twelve years. And the returns for the stock in the last twelve years are 12%, 25%, 16%, 14%, 40%, 15%, 13%, 17%, 23%, 13%, 17%, and 19%. In order to calculate the mean for the whole population, we need to find out the summation of all the observed value first. So in this example, the ∑X is 224% and the number of observed value for the population is 12 as it comprises the return for the stock for 12 years period. **

With these two variables, we can calculate the population mean for the return of stock with the help of the formula.

Following are the given data for the calculation of the Population mean

4.9 (927 ratings)

Therefore, using the above information population mean can be calculated as,

- µ= 224%/12

**Population Mean will be –**

**Population Mean (µ) = 19%**

The example shows that the mean or average return for the observed value is 19%.** **

#### Example #2

**Let us try to find out how to calculate the population mean with the help of another example. Let us try to analyse the return of a thematic mutual fund for the last eight years. And the returns for the stock in the last twelve years are 25%, 16%, 14%, 15%, 13%, 23%, 33%, and 27%. In order to calculate the mean for the whole population, we need to find out the summation of all the observed value first. So in this example, the ∑X is 166% and the number of observed value for the population is 8 as it comprises the return of the mutual fund for 8 years period. **

With these two variables, we can calculate the population mean for the return of stock with the help of the formula.

Below is given data for calculation of population mean

Therefore, the population mean can be calculated as,

- µ= 166%/8

**Population Mean will be –**

**Population Mean (µ) = 21%**

The example shows that the mean or average return for the observed value is 21%.** **

#### Example #3

**Let us try to find out how to calculate the population mean with the help of another example. Let us find out the population mean of the weight of 15 students in a class. The weight of each student in the class of 15 students in kg is as follows 35, 36, 42, 40, 44, 45, 38, 42, 39, 42, 44, 45, 48, 42, and 40. In order to calculate the mean for the whole population, we need to find out the summation of all the observed value first. So in this example, the ∑X is 622 Kg and the number of observed value for the population is 15 as it comprises the weight for 15 students.**

With these two variables, we can calculate the population mean for the return of stock with the help of the formula.

Following are the given data for the calculation of the Population mean

Therefore, using the above information population mean can be calculated as,

- µ= 622/15

**Population Mean will be –**

**Population Mean (µ) = 41.47**

** **The example shows that the mean or average return for the observed value is 41.47

### Relevance and Uses

The population mean is a very important statistical parameter. It helps in knowing the average of the population’s parameters. The mean is important as it is used in the calculation of several other statistical parameters like the variance, standard deviations and other. The population mean is calculated using the concept of the arithmetic mean and represents the average or mean on the basis of which one can make an inference of whether an observation is high or low in the whole population of observations.

### Recommended Articles

This has been a guide to Population Mean Formula. Here we discuss how to calculate the population mean along with the practical examples and downloadable excel sheet. You can learn more about financing from the following articles –

- Difference Between Geometric and Arithmetic Mean
- Mean Examples
- Calculate Weighted Mean
- Calculate Harmonic Mean
- Mean vs Median – Compare
- Calculate Geometric Mean Return

- 35+ Courses
- 120+ Hours of Videos
- Full Lifetime Access
- Certificate of Completion

- Basic Excel Training
- Advanced Excel Training
- Basic & Advanced VBA Course
- Excel Dashboard Course
- Data Analysis in Excel
- Create VBA Applications