Excel provides a **Sampling** data analysis tool which can be used to create samples. The tool works by defining the population as an array in an Excel worksheet and then using the following input parameters to determine how you would like to carry out the sampling.

Input Range – Specify the range of data that contains the population of values you want to sample. Excel draws samples from the first column, then the second column, and so on.

Sampling Method – Select one of the following two sampling intervals:

- Periodic – In this case, you specify the Period
*n*at which you want sampling to take place. The nth value in the input range and every nth value thereafter is copied to the output column. Sampling stops when the end of the input range is reached.

- Random – In this case, you specify the Random Number of Samples. This number of values is drawn from random positions in the input range. A value can be selected more than once. (i.e. sampling is with replacement).

**Example 1**: From a population of 10 women and 10 men as given in the table in Figure 1 on the left below, create a random sample of 6 people for Group 1 and a periodic sample consisting of every 3^{rd} woman for Group 2.

**Figure 1 – Creating random and periodic samples**

You need to run the sampling data analysis tool twice, once to create Group 1 and again to create Group 2. For Group 1 you select all 20 population cells as the Input Range and Random as the Sampling Method with 6 for the Random Number of Samples. For Group 2 you select the 10 cells in the Women column as Input Range and Periodic with Period 3.

**Observation**: The Sampling data analysis tool has a number of limitations which unfortunately reduces its usefulness. These include:

- Only numeric data (including blank) can be used.
- If in the example above the number of women is not equal to the number of men any blank cells will simply be treated as data and can be chosen for inclusion in a sample.
- The Label option does not function properly and so should not be used
- Random sampling is with replacement. As you can see from the example, the number 2 is chosen twice in the Group 1 sample.

As a result it often better to use other approaches to create a sample. We now show how to create the Group 1 sample above without duplicates.

**Example 2**: Recreate Group 1 from Example 1 without allowing any duplicates.

We accomplish this by creating a worksheet as in Figure 2.

**Figure 2 – Creating a random sample without replacement**

Column A consists of the data elements in the population (as taken from Figure 1). Column B consists of random numbers between 0 and 1. These are generated using the Excel function RAND(). Simply enter =RAND() in cell B4 and then highlight the range B4:B23 and enter Ctrl-D. This will place the formula =RAND() in every cell in the range B4:B23.

Finally create column C by putting the following formula in cell C4 and then copying it down (using Ctrl-D as described above) for as many rows as you want items in the sample.

=INDEX(A$4:A$23,RANK(B4,B$4:B$23))

See Built-in Excel Functions and Table Lookup for more information about the INDEX function.

**Observation**: If we wanted to generate a sample of size 6 with replacement, we would use the following formula in cell C4 instead (column B would not be necessary):

=INDEX(A$4:A$23,RANDBETWEEN(1,COUNT(A$4:A$23)))

**Real Statistics Excel Functions**: The Real Statistics Resource Pack provides the following useful array functions that allow you to avoid the complex syntax described above.

**SHUFFLE**(R1, *s*) = array of the same size and shape as R1 which shuffles the elements in range R1 (without replacement). The string *s* is used as a filler in case the output range has more cells than R1. This second argument is optional and defaults to the error value #N/A.

**RANDOMIZE**(R1, *s*) = array of the same size and shape as R1 which contains random elements from R1 (with replacement). The string *s* is used as a filler in case the output range has more cells than R1. This second argument is optional and defaults to the error value #N/A.

we must test on a random basis, with 95% confidence level emergency windows. We have 215 cars with 16 windows each and every car has to be tested not to exceed 184 days. Can we use 18 as a population but that gives a high margin of error unless we do all windows which is against the rules it must be a random sample. If we use 3440 then some cars may be missed within the 184 days. How would I populate excel to reach all goals?

Lew,

Sorry, but you need to explain the scenario better, especially you need to describe what are the goals that you are trying to test.

Charles

Hi! please tell me how to decide what is the minimum no of samples that should be taken in a experimental work. the experiment have to have two groups. control and experimental group. Students achievement for a teaching method is to be measured for two different contents. so two separate achievements are designed. what should be the no of samples in each group?

thanks

If you are using the t test, then the sample size can be determined as described on the following webpage:

http://www.real-statistics.com/students-t-distribution/sample-size-requirements-t-tests/

You can also use the Real Statistics Statistical Power and Sample Size data analysis tool as described on the webpage

Statistical Power and Sample Size Tool

Charles

Thanks..

hi thanx for the previous info but when i do that it simply gives me the range 1-12 shuffled upto 4 times, what i wanted is true sampling without replacement, if 1-4, 5-8, 9-12 are chosen first round then 1,5,10,3 , then 2,7,12, 8 , lastly 4,6,9,11 and so on the permutations must exhaust the range of 1-12 in different permutations of 4s but finish the range before moving forward so in three different permutations 1 must appear once then again when the cycle restarts, but in a different permutation

Musa,

This is described on the referenced webpage. E.g. Put the values 1 through 12 in the range A1:A12 and then put the Real Statistics array formula =SHUFFLE(A$1:A$12) in range C1:12. This will give you a permutation of the values 1 through 12. If you want a second such permutation, place the same array formula =SHUFFLE(A$1:A$12) in range C13:C25. You can repeat this as many times as you like.

Charles

hello i would like to know how sample from range i need it to be random but aswell as contained, by that i mean say a range of 1-12 choosing 4 per time until range finished and repeat with different combinations eg first is 1,2,3,4 then second 5,6,7,8 and third 9,10,11,12 then second cycle can be say first 1,6,9, 12 secon 3,5,8,10 and thirdly 2,4,6,11 and so on the cycle must exhaust the range the start again different combinations every time please help if possible.

It sounds like you can accomplish this making multiple calls to the Real Statistics SHUFFLE function (which is described on the referenced webpage).

Suppose you want 8 such cycles (or 4 elements each). Place the numbers 1 through 12 in the range A1:A12. Then place the array formula =SHUFFLE(A1:A12) in the range C1:C12. Place this formula in the range C13:C24 and again in the range C25:C32. The range C1:C32 has the result that you are looking for.

Charles

Thank you

Thank you so very much for this tutorial. I have a dataset and am randomly selecting groups of 4 people and averaging their responses together. I’m doing this many times to create a lot of random combinations of 4 people. However, I need to keep responses from each person together. To achieve this, I essentially need to be able to randomly select a row of cells and keep those answers together (1 row=answers from 1 person). Is there a way to do this? I’ve tried a few different ways without success.

Thanks!

Sorry, but you need to provide more details before I am able to answer your question.

Charles

Thank you for the information. When using the RAND() function, users just need to be aware that closing the document and reopening (or any other update job) will refresh the results. A quick copy/paste special…values will prevent this issue from occuring but will obviously overwrite the function.

God bless you

Thanks