Calculating average of every nth value [Formula tips]

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Lets say you have a large list of numbers, and you want to calculate the average of every nth value. Not the average of all numbers, but just every nth number.

That is what we will learn in next few minutes.

Few assumptions

Before we jump in to any formulas, first lets assume that all your data is in a table, conveniently named as tbl. Lets say this table has below structure.

Average of every nth value - calculating using Excel formulas.

Also, the value of n is a named cell N.

Average of every nth value

Approach 1: Using helper columns

Average of every nth value - calculated using Helper columnIf you have no allergies towards nuts, dairy or helper columns, then this approach is easiest.

We just add an extra column to our tbl , called as helper.

In the helper column, write this formula.

=MOD([@ID], N)=0

This will fill the helper column with TRUE & FALSE values, TRUE for all nth values, FALSE for everything else. See aside.

Once we have the helper column, calculating average of every nth value is easy as eating every slice of a cake.

We use AVERAGEIF to do this.

=AVERAGEIF(tbl[Value],tbl[Helper],TRUE)

Approach 2: Not using helper columns

Now things get interesting. Lets say you want to calculate average, but not use any helper columns.

First the formula:

=AVERAGE(IF(MOD(tbl[ID], N)=0,tbl[Value]))

Array entered.

Lets understand how it works:

We want the average of every nth item of tbl[Value] column.

In other words, we want average of every item of tbl[Value] column, whose corresponding tbl[ID] value is perfectly divisible by n.

How do we know when a value is perfectly divisible by another?

Don’t worry. You don’t have to do the long division on paper now. Instead we use Excel’s MOD function.

When a value is perfectly divisible by another, the reminder is zero.

So, MOD(value1, value2) = 0 means, value2 divides value1 perfectly.

That means…

We want the average of tbl[Value] when MOD(tbl[ID], N) = 0

Lets write that in Excel formula lingo.

=AVERAGE( IF(MOD(tbl[ID], N) = 0, tbl[Value]) )

This formula results in a bunch of values and FALSEs. Assuming N=3, this is what we get (for sample data):

=AVERAGE({FALSE;FALSE;15;FALSE;FALSE;18;FALSE;FALSE;18;FALSE;FALSE;15;FALSE;FALSE;14; …})

Since AVERAGE formula ignores any logical values, it will calculate the average of {15, 18, 18, 15, 14 … } and returns the answer you are expecting.

As this formula is processing arrays instead of single values, you need to array enter it (CTRL+SHIFT+Enter after typing the formula).

Bonus scenario: Average of FEBRUARY values only!

Here is a bonus scenario. Lets say you want to calculate the average sales of FEB alone… Then you can use AVERAGEIF (or AVERAGEIFS, if you want to have multiple conditions).

=AVERAGEIF(tbl[value], tbl[month], “FEB”)

Averageif() formula example - average of February values alone

Download example workbook:

Click here to download the example workbook. It contains all the techniques explained in this post. Play with the data & formulas to understand better.

Time for some challenges…

If you think averaging every nth value is not mean enough, try below challenges. Post your answers using comments.

  1. Write a formula to calculate average of every nth value, starting at row number ‘t’.
  2. Write a formula to calculate average of every nth value, assuming your table has only value column (no ID column).

Go ahead. Show off your formula skills. Post your answers in comments section.

Improving your Excel batting average

Calculating averages predates slice bread. Folklore says that when first neanderthal figured out how to express numbers and carved 2 of them on a cave wall, his manager walked by and asked “What is the average of these two? Eh?” and thumped her chest.

Although caves & wall carvings are replaced by cubicles & spreadsheets, we are still calculating averages, almost 2.9 million of them per hour.

So it pays to learn a few tricks about Excel Average formulas. Check out below to improve your average:

If your boss is the kind who thumps her chest and mocks you for your poor Excel skills, don’t cave in. Fight back. Enroll in Excel School and show that you can evolve.

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12 Responses to “29 Excel Formula Tips for all Occasions [and proof that PHD readers truly rock]”

  1. Peder Schmedling says:

    Some great contributions here.
    Gotta love the Friday 13th formula 😀

  2. Aires says:

    Great tips from you all! Thanks a lot for sharing! bsamson, particularly you helped me on a terribly annoying task. 🙂

    (BTW, Chandoo, it's not exactly "Find if a range is normally distributed" what my suggestion does. It checks if two proportions are statistically different. I probably gave you a bad explanation on twitter, but it'd be probably better if you fix it here... 🙂 )

  3. John Franco says:

    Great compilation Chandoo

    For the "Clean your text before you lookup"
    =VLOOKUP(CLEAN(TRIM(E20)),F5:G18,2,0)

    I would like to share a method to convert a number-stored-as-text before you lookup:

    =VLOOKUP(E20+0,F5:G18,2,0)

  4. Chandoo says:

    @Peder, yeah, I loved that formula
    @Aires: Sorry, I misunderstood your formula. Corrected the heading now.
    @John.. that is a cool tip.

  5. Eric Lind says:

    Hey Chandoo,

    That p-value formula is really great for a statistics person like me.

    What a p-value essentially is, is the probability that the results obtained from a statistical test aren't valid. So for example, if my p value is .05, there's a 5% probability that my results are wrong.

    You can play with this if you install the Data Analysis Toolpak (which will perform some statistical tests for you AND provide the P Value.)

    Let's say for example I've got two weeks of data (separated into columns) with the number of hours worked per day. I want to find out if the total number of hours I worked in week two were really all the different than week one.

    Week1 Week2
    10 11
    12 9
    9 10
    7 8
    5 8

    Go to Data > Data Analysis > T-Test Assuming Unequal Variances > OK

    In the Variable 1 Box, select the range of data for week 1.
    In the Variable 2 Box, select the range of data for week 2.
    Check "Labels"
    In the Alpha box, select a value (in percentage terms) for how tolerant you are of error.

    .05 is the general standard; that is to say I am willing to accept a 95% level of confidence that my result is accuarate.

    Select a range output.

    Excel calculates a number of results: Average (mean) for each week's data, etc.

    You'll notice however that there are two P Values; one-tail and two-tail. (one tail tests are for > or .05), the number of hours I worked in week two is statistically equivalent to the number of hours I worked in week one.

    So here’s a way you might want to use this. You put up a new entry on your blog. You think it’s the best entry ever! So you pull your webstats for this week and compare it to last week. You gather data for each week on the length of time a visitor spends on your website. The question you’re trying to prove statistically is whether there’s an average increase in the amount of time spent on your website this week as compared to last week (as a result of your fancy new blog post). You can run the same statistical test I illustrated above to find out. Incidentally, it matters very little to the stat test whether the quantity of visitors differs or not.

    Anyhow, the Data Analysis toolpack doesn't perform a lot of stat tests that folks like me would like to have access to. In those cases I have to either use different software, or write some very complicated mathematical formulas. Having this p-value formula makes my life a LOT easier!

    Thanks!

    Eric~

  6. Balaji OS says:

    Fantastic stuf..One line explanation is cool.
    Thanks to all the contributors

    OS

  7. Locke says:

    Take FirstName, MI, LastName in access (you can fix it to work in excel) capitalize first letter of each and lowercase the rest and add ". " if MI exists then same for last name:
    Full Name: Format(Left([FirstName],1),">") & Format(Right([FirstName]),Len([FirstName])-1),"") & ". ","") & Format(Left([LastName],1),">") & Format(Right([LastName],Len([LastName])-1),"<")

    I teach excel, access, etc etc for a living and i have my access students build this formula one step at a time from the inside out to show how formulas can be made even if it looks complicated. Yes I know I could just do IsNull([MI]) and reverse the order in the Iif() function but the point here is to nest as many functions as possible one by one (also I illustrate how it will fail without the Not() as it is)

  8. Johan says:

    Extract the month from a date
    The easiest formula for this is =MONTH(a1)
    It will return a 1 for January, 2 for February etc.

  9. anjali says:

    if in a column we write the value of total person for eg. 10 if we spent 1.33 paise each person then how we get total amount in next column and the result will in round form plzzzzz solve my problem sir................... thank u

  10. Hui... says:

    @Anjali

    If the value 10 is in B2 and 1.33 paise is in C2 the formula in D2 could be =B2*C2

    If the values are a column of values you can copy the formula down by copy/paste or drag the small black handle at the bottom right corner of cell D2

  11. sajid says:

    kindly share with me new forumulas.

  12. Biswajit Baidya says:

    How to convert a figure like 870.70 into 870 but 871.70 into 880 using excel formula ? Please help.

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