How To Use Sample Size Calculator In Excel?

How To Use Sample Size Calculator In Excel?

Are you a business analyst, a student, or just curious about understanding how Excel works in calculation? You will be surprised to know that Excel is a powerful tool that can also act like a sample size calculator. It will calculate the sample size of the Excel data. 

This article will introduce you to the sample size calculator in excel and provide some tricks on how to get the most out of your computation. By the end of this article, you will be able to determine the sample sizes of any data set quickly.

Let’s understand one by one. 

How to Create an Sample Size Calculator in Excel? 

To create an Excel sample size calculator, follow these steps:

Step 1: Open a new blank spreadsheet in Excel.

Step 2: Enter the no. of the element in Excel.

Step 3: Enter the desired confidence level in cell A2.

Step 4: Input the margin of error in consecutive cells.

Step 5: Input the value 0.5 in the next cell.

Step 6: select the B1 cell and type”=SQRT((A1*A2*(1-A2))/A3^2+A4^2)” and press enter.

Step 7: Click on cell B2, type”=A1/B1” and press enter.

The value displayed in the B2 cell is the size of the sample.

Introduction to Sample Size Calculator in Excel

The sample size is the measure of the sample used in the experiment. For example, if you are testing 40 samples of people who love coffee in the city, the sample size is 40. Sample size is considered to be the crucial factor of sample size while taking a survey. When sample sizes are small it can lead to approximate results; while the sample size is too large, it can be time-consuming and costly. While calculating sample sizes, some of the factors considered are important, such as population sizes, desired confidence level, confidence level, and margin of error. 

Let’s understand these terms one by one: 

Population Sizes

The total number of entities in the group under the survey can be estimated from existing data or a survey. It is important to know the population parameters accurately. If the estimated population is too low, the sample size does not provide reliable results. A larger sample size will give accurate results. Hence, it is recommended to have a better sample size for estimation. 

Confidence Level

The confidence level tells how likely the study’s result is to be true. The value of the confidence level always lies between 0 and 1. The more reliable the result, the higher the confidence level. 

The Margin Of Error

The margin of error is the degree of error acceptable in the result of the study. In most of the cases, the margin of error is 5%. 

After a proper understanding of the main terms, let’s discuss how to implement these formulas into our sheets. 

Following are the steps to implement a sample size calculator in Excel: 

Step1: Calculate the population Size from your data:

It is the foremost step in entering the population size into the Excel sheet. If you know the population size, enter the value into the cell; otherwise, calculate the population size using the formula.

Step 2: Input the desired confidence level:

The next step is to enter the desired confidence level of the sample size into the Excel Sheet. This will be calculated using the formula; otherwise, input it yourself.

Step 3: Calculate sample size: 

Once you have calculated or entered the elements of the sample size calculator, now you can apply this formula:

Sample Size=(Population size x Confidence Level) / (Margin of Error)^2

You will get the desired result. 

Let’s take an example of calculating the Excel sample size calculator.

  • z is the standard error with a desired level of confidence.
  • p is the estimated population percentage
  • q =100-p
  • e is the acceptable margin of sample error.

By applying this formula  

Sample Size=(Population Size x Confidence Level) / (Margin of Error)^2

We get n=139

If you want to calculate the sample size using the data listed in the sheet, you can use the “Counta” function.  

This is the basic syntax of the COUNTA function:


Example of calculating sample sizes in Excel

Suppose you have the sample size of a football with the number of goals listed. 

Sample Size Calculator In Excel

Type the formula given above of the Count function to calculate the sample size of this dataset.

In the above image, we have calculated the sample size using the count function. 

To apply the count function, use “=” before the count function. You will get the recommendation of the function which starts with that letter. Select the count function, click on the value 1, then select the data under-sample. Press enter. You will get your sample size.

Sample Size Calculator In Excel

The “countif” function will extract the data according to the range of your provided criteria. This will reduce your range of the sample and assist you in functioning on a smaller range for deeper analysis. To calculate the sample size of the “Riggs” in the above table, apply this formula:

“=COUNTIF(Range, criteria)”

Steps to use the Countif function

  • Select the cell you want to use to display your answer.
  • Use “=” before typing cou…. Function.
  • You will get the recommendation of the “COUNTIF” function.
  • Click on the renege option and select the range from your data.
  • After selecting the range, click on the criteria option and select the criteria.
  • Press the enter key.

This will display the required results. 

You can get the same output using the “<>” symbol before the criteria. 

=COUNTIF(A2:A16, “<>Hawks”).

The Excel size file calculator will help audit data at the industrial level. It will also help analyze user data, sometimes with a sample size of more than 20,000. The audit sample size calculator Excel will give you the most accurate results and help you analyze your data in depth. 

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How do I calculate the data size in Excel?

You can calculate the size of data through the “COUNTA” function.

What is the sample size in statistics?

The sample size in the statistics measures the number of samples used in the experiment.

Why is sample size required?

The sample size aims to draw a precise and accurate conclusion from the data. A smaller sample size may not give the appropriate result.

What is the type of sample size?

There are two types of sample sizes to determine: one is determined by the participants represented in the population, and the other is determined by using statistical power.

Why is it recommended to have a big sample size?

If the sample is larger, it will have fewer sampling errors and provide a more accurate representation of the population. 

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