Can you do statistics in excel

To generate descriptive statistics for these scores, execute the following steps.

1. On the Data tab, in the Analysis group, click Data Analysis.
2. Select Descriptive Statistics and click OK.
3. Select the range A2:A15 as the Input Range.
4. Select cell C1 as the Output Range.
5. Make sure Summary statistics is checked.
6. Click OK.

How do you do descriptive statistics in Excel 2021?

Go to the Data tab > Analysis group > Data analysis. Select Descriptive Statistics and click OK.
Descriptive Statistics

1. Select the range of your input.
2. Select the range from where you want to display the output.
3. Check the summary statistics.

How do I get all statistics in Excel?

Click the Data tab’s Data Analysis command button to tell Excel that you want to calculate descriptive statistics. Excel displays the Data Analysis dialog box. In the Data Analysis dialog box, highlight the Descriptive Statistics entry in the Analysis Tools list and then click OK.

How do you do descriptive statistics?

Descriptive statistics are used to describe the basic features of the data in a study.
For example, you could use percentages to describe the:

1. percentage of people in different income levels.
2. percentage of people in different age ranges.
3. percentage of people in different ranges of standardized test scores.

How do I do descriptive data analysis in Excel?

In This Article

1. Click the Data tab’s Data Analysis command button to tell Excel that you want to calculate descriptive statistics.
2. In the Data Analysis dialog box, highlight the Descriptive Statistics entry in the Analysis Tools list and then click OK.

What is Excel descriptive statistics?

Excel Descriptive Statistics
Using the descriptive statistics feature in Excel means that you won’t have to type in individual functions like MEAN or MODE. One button click will return a dozen different stats for your data set.

How can descriptive statistics be used to summarize data?

Interpret the key results for Descriptive Statistics

1. Step 1: Describe the size of your sample.
2. Step 2: Describe the center of your data.
3. Step 3: Describe the spread of your data.
4. Step 4: Assess the shape and spread of your data distribution.
5. Compare data from different groups.

How do you report descriptive statistics?

Descriptive Results

1. Add a table of the raw data in the appendix.
2. Include a table with the appropriate descriptive statistics e.g. the mean, mode, median, and standard deviation.
3. Identify the level or data.
4. Include a graph.
5. Give an explanation of your statistic in a short paragraph.

What are the 3 types of statistics?

Types of Statistics

• Descriptive statistics.
• Inferential statistics.

What are the 5 descriptive statistics?

There are a variety of descriptive statistics. Numbers such as the mean, median, mode, skewness, kurtosis, standard deviation, first quartile and third quartile, to name a few, each tell us something about our data.

Which type of statistics summarize variables in a data set?

Descriptive statistics are used to describe or summarize the characteristics of a sample or data set, such as a variable’s mean, standard deviation, or frequency. Inferential statistics can help us understand the collective properties of the elements of a data sample.

How do you explain summary statistics?

Summary statistics summarize and provide information about your sample data. It tells you something about the values in your data set. This includes where the mean lies and whether your data is skewed.

What do Summary statistics tell you?

The information that gives a quick and simple description of the data. Can include mean, median, mode, minimum value, maximum value, range, standard deviation, etc.

What are the 8 descriptive statistics?

In this article, the first one, you’ll find the usual descriptive statistics concepts: Measures of Central Tendency: Mean, Median, Mode. Measures of Dispersion: Variance and Standard Deviation. Measures of Position: Quartiles, Quantiles and Interquartiles.

What are the four types of descriptive statistics?

There are four major types of descriptive statistics:

• Measures of Frequency: * Count, Percent, Frequency.
• Measures of Central Tendency. * Mean, Median, and Mode.
• Measures of Dispersion or Variation. * Range, Variance, Standard Deviation.
• Measures of Position. * Percentile Ranks, Quartile Ranks.

What does N mean in statistics?

The symbol ‘N’ represents the total number of individuals or cases in the population.

How does SPSS calculate descriptive statistics?

Using the Descriptives Dialog Window

1. Click Analyze > Descriptive Statistics > Descriptives.
2. Add the variables English , Reading , Math , and Writing to the Variables box.
3. Check the box Save standardized values as variables.
4. Click OK when finished.

What are example of statistics?

A statistic is a number that represents a property of the sample. For example, if we consider one math class to be a sample of the population of all math classes, then the average number of points earned by students in that one math class at the end of the term is an example of a statistic.

What is the 2 types of statistics?

The two major areas of statistics are known as descriptive statistics, which describes the properties of sample and population data, and inferential statistics, which uses those properties to test hypotheses and draw conclusions.

How do you write a five-number summary?

How to Find a Five-Number Summary: Steps

1. Step 1: Put your numbers in ascending order (from smallest to largest).
2. Step 2: Find the minimum and maximum for your data set.
3. Step 3: Find the median.
4. Step 4: Place parentheses around the numbers above and below the median.
5. Step 5: Find Q1 and Q3.

What are the 5 types of variables?

There are different types of variables and having their influence differently in a study viz. Independent & dependent variables, Active and attribute variables, Continuous, discrete and categorical variable, Extraneous variables and Demographic variables.

If you’re working with large datasets in excel, getting Descriptive Statistics for this data set could be useful.

Descriptive Statistic quickly summarizes your data and gives you a few data points that you can use to quickly understand the entire data set.

While you can also calculate each of these statistical values individually, using the descriptive statistics option in Excel quickly gives you all this data in one single place (and it’s a lot faster than using different formulas to calculate different values).

In this short tutorial, I will show you how to get Descriptive Statistics in Excel.

Descriptive Statistics in Excel

To get the Descriptive Statistics in Excel, you need to have the Data Analysis Toolpak enabled.

You can check whether you already have it enabled by going to the Data tab.

If you see the Data Analysis option in the Analysis group, you already have it enabled (and you can skip the next section and go directly to the ‘Getting Descriptive Analysis’ section).

In case you do not see the data analysis option in the data tab, follow the steps in the next section to enable it.

Enabling Data Analysis Toolpak

Below are the steps to enable the Data Analysis Toolpak in Excel:

1. Open any Excel document
2. Click the File tab

1. Click on Options. This will open the Excel Options dialog box

1. In the Excel Options dialog box, click on Add-ins in the left pane

1. From the Manage drop-down (which is at the bottom of the dialog box), select ‘Excel Add-ins’

1. Click on the Go button

1. In the Add-ins dialog box that shows up, check the Analysis Toolpak option

1. Click OK

The other steps would enable the Data Analysis toolpak and you will be able to use it on all your Excel Workbooks.

Getting the Descriptive Analysis

Now that the Data Analysis Toolpak is enabled, let’s see how to get the descriptive statistics using it.

Suppose you have a data set as shown below where I have the sales data of different products of a company. For this data, I want to get descriptive statistics.

Below are the steps to do this:

1. Click the Data tab
2. In the Analysis group, click on Data Analysis

1. In the Data Analysis dialog box that opens, click on Descriptive Statistics

1. Click OK
2. In the Descriptive Statistics dialog box, specify the input range that has the data. Note that I have only used Column B as the data source (as you can only use numeric data as the input here)

1. If your data has headers, check the ‘Labels in first row’ option

1. Select the New Worksheet Ply option (this will give the result in a new sheet)

1. Select the statistics options you want (you need to select atleast one, and can select all four)

1. Click OK

The above steps would insert a new sheet and you will get the statistics as shown below:

Note that you can specify the following in step 8:

1. Confidence Level for mean – the default is 95%, but you can change the value
2. Kth Largest – the default is 1, but you can change it. If you enter 3 here, it will give you the third largest value from the dataset
3. Kth Smallest – the default is 1, but you can change it. If you enter 3 here, it will give you the third smallest value from the dataset

Note that the resulting values you get are static values.

In case your original data changes and you again want to get the Descriptive Statistics, you will have to repeat the above steps again.

So this is how you can quickly get Descriptive Statistics in Microsoft Excel.

I hope you found this tutorial useful.

Other Excel Tutorials you may also like:

• How to Calculate Standard Deviation in Excel
• How to Calculate PERCENTILE in Excel
• Calculating Weighted Average in Excel.
• Calculating CAGR in Excel
• How to Calculate Correlation Coefficient in Excel
• Calculate the Coefficient of Variation (CV) in Excel

To begin with, statistical function in Excel let’s first understand what is statistics and why we need it? So, statistics is a branch of sciences that can give a property to a sample. It deals with collecting, organizing, analyzing, and presenting the data. One of the great mathematicians Karl Pearson, also the father of modern statistics quoted that, “statistics is the grammar of science”. 

We used statistics in every industry, including business, marketing, governance, engineering, health, etc. So in short statistics a quantitative tool to understand the world in a better way.  For example, the government studies the demography of his/her country before making any policy and the demography can only study with the help of statistics. We can take another example for making a movie or any campaign it is very important to understand your audience and there too we used statistics as our tool.

Ways to approach statistical function in Excel:

In Excel, we have a range of statical functions, we can perform basic mead, median mode to more complex statistical distribution, and probability test. In order to understand statistical Functions we will divide them into two sets:

1. Basic statistical Function
2. Intermediate Statistical Function.

Statistical Function in Excel

Excel is the best tool to apply statistical functions. As discussed above we first discuss the basic statistical function, and then we will study intermediate statistical function. Throughout the article, we will take data and by using it we will understand the statistical function.

So, let’s take random data of a book store that sells textbooks for classes 11th and 12th. 

Basic statistical Function

These are some most common and useful functions. These include the COUNT function, COUNTA function, COUNTBLANK function, COUNTIFS function. Let’s discuss one by one:

1. COUNT function

The COUNT function is used to count the number of cells containing a number. Always remember one thing that it will only count the number. 

Formula for COUNT function = COUNT(value1, [value2], …)

Thus, there are 7 textbooks that have a discount out of 9 books.

2. COUNTA function

This function will count everything, it will count the number of the cell containing any kind of information, including numbers, error values, empty text.

Formula for COUNTA function = COUNTA(value1, [value2], …)

So, there are a total of 9 subjects that being sold in the store

3. COUNTBLANK function

COUNTBLANK function, as the term, suggest it will only count blank or empty cells. 

Formula for COUNTBlANK function = COUNTBLANK(range)

There are 2 subjects that don’t have any discount.

4. COUNTIFS function

COUNTIFS function is the most used function in Excel. The function will work on one or more than one condition in a given range and counts the cell that meets the condition.

Formula for COUNTIFS function = COUNTIFS (range1, criteria1, [range2], [criteria2], ...)

Intermediate Statistical Function

Let’s discuss some intermediate statistical functions in Excel. These functions used more often by the analyst. It includes functions like AVERAGE function, MEDIAN function, MODE function, STANDARD DEVIATION function,  VARIANCE function, QUARTILES function, CORRELATION function.

1. AVERAGE value1, [value2], …)

The AVERAGE function is one of the most used intermediate functions. The function will return the arithmetic mean or an average of the cell in a given range.

Formula for AVERAGE function = AVERAGE(number1, [number2], …)

So the average total revenue is  Rs.144326.6667

2. AVERAGEIF function

The function will return the arithmetic mean or an average of the cell in a given range that meets the given criteria.

Formula for AVERAGEIF function = AVERAGEIF(range, criteria, [average_range])

3. MEDIAN function

The MEDIAN function will return the central value of the data. Its syntax is similar to the AVERAGE function.

Formula for MEDIAN function = MEDIAN(number1, [number2], …)

Thus, the median quantity sold is 300.

4. MODE function

 The MODE function will return the most frequent value of the cell in a given range.

 Formula for MODE function = MODE.SNGL(number1,[number2],…)

Thus, the most frequent or repetitive cost is  Rs. 250.

5. STANDARD DEVIATION

This function helps us to determine how much observed value deviated or varied from the average. This function is one of the useful functions in Excel.

Formula for STANDARD DEVIATION function = STDEV.P(number1,[number2],…)

Thus, Standard Deviation of total revenue =296917.8172

6. VARIANCE function

To understand the VARIANCE function, we first need to know what is variance? Basically, Variance will determine the degree of variation in your data set.  The more data is spread it means the more is variance. 

Formula for VARIANCE function = VAR(number1, [number2], …)

So, the variance of Revenue= 97955766832

7. QUARTILES function

Quartile divides the data into 4 parts just like the median which divides the data into two equal parts. So, the Excel QUARTILES function returns the quartiles of the dataset. It can return the minimum value, first quartile, second quartile, third quartile, and max value. Let’s see the syntax :

Formula for QUARTILES function = QUARTILE (array, quart)

So, the first quartile = 14137.5

8. CORRELATION function 

CORRELATION function, help to find the relationship between the two variables, this function mostly used by the analyst to study the data. The range of the CORRELATION coefficient lies between -1 to +1.

Formula for  CORRELATION function = CORREL(array1, array2)

So, the correlation coefficient between discount and revenue of store = 0.802428894. Since it is a positive number, thus we can conclude discount is positively related to revenue.

9. MAX function 

The MAX function will return the largest numeric value within a given set of data or an array.

Formula for  MAX function = MAX (number1, [number2], ...)

The maximum quantity of textbooks is Physics,620 in numbers.

10. MIN function

The MIN function will return the smallest numeric value within a given set of data or an array.

Formula for MIN function = MIN (number1, [number2], ...)

The minimum number of the book available in the store =150(Sociology)

11. LARGE function

The LARGE function is similar to the MAX function but the only difference is it returns the nth largest value within a given set of data or an array.

Formula for  LARGE function = LARGE (array, k)

Let’s find the most expensive textbook using a large function, where k = 1

The most expensive textbook is Rs. 420.

12. SMALL function

The SMALL function is similar to the MIN function, but the only difference is it return nth smallest value within a given set of data or an array.

Formula for  SMALL function = SMALL (array, k)

Similarly, using the SMALL function we can find the second least expensive book.

Thus, Rs. 120 is the least cost price.

Conclusion

So these are some statistical functions of Excel. We have learned some of the most simple functions like COUNT functions to complex ones like the CORRELATION function. So far we learn, we understand how much these functions are useful for analyzing any data. You can explore more functions and learn more things of your own.

Microsoft Excel can do statistics! You can calculate percentages, averages, standard deviation, standard error, and student’s T-tests.

Despite not being as powerful as software specifically for statistics, Excel is actually quite adept at running basic calculations, even without add-ins (though there are some add-ins that make it even better).

You probably know that it can do arithmetic, but did you know that it can also quickly get percentage change, averages, standard deviation from samples and populations, standard error, and student’s T-tests?

Excel has a lot of statistical power if you know how to use it. We’ll take a look at some of the most basic statistical calculations below. Let’s get started!

How to Calculate Percentage in Excel

Calculating percentages in Excel is as simple as it is anywhere else: just divide two numbers and multiply by 100. Let’s say that we’re calculating the percentage of 347 out of 521.

Simply divide 347 by 521 using the syntax =347/521. (If you’re not familiar with Excel, the equals sign tells Excel that you want it to calculate something. Just enter the equation after that and hit Enter to run the calculation.)

You now have a decimal value (in this case, .67). To convert it into a percentage, hit Ctrl + Shift + 5 on your keyboard (this is a very useful Excel keyboard shortcut to add to your arsenal).

You can also change the cell format the long way by right-clicking the cell, selecting Format Cells, choosing Percentage, and clicking OK.

Keep in mind that changing the format of the cell takes care of the «multiply by 100» step. If you multiply by 100 and then change the format to percentage, you’ll get another multiplication (and the wrong number).

Tip: Learn how to create dropdown lists for Excel cells.

How to Calculate Percentage Increase in Excel

Calculating the percentage increase is similar. Let’s say our first measurement is 129, and our second is 246. What’s the percentage increase?

To start, you’ll need to find the raw increase, so subtract the initial value from the second value. In our case, we’ll use =246-129 to get a result of 117.

Now, take the resulting value (the raw change) and divide it by the original measurement. In our case, that’s =117/129. That gives us a decimal change of .906. You can also get all of this information in a single formula like this:

Use the same process as above to convert this to a percentage, and you’ll see that we have a 91 percent change. Do a quick check: 117 is almost equal to 129, so this makes sense. If we would have calculated a change value of 129, the percentage change would have been 100 percent.

How to Calculate Mean (Average) in Excel

One of Excel’s most useful built-in functions calculates the mean (average) of a set of numbers. If you haven’t used an Excel function before, you’ll be impressed at how easy it is. Just type in the name of the function, select the cells you want to apply it to, and hit Enter.

In our example here, we have a series of measurements that we need the average of. We’ll click into a new cell and type =AVERAGE(, then use the mouse to select the relevant cells (you can also type in the cell range if you’d like). Close the parentheses with a ) and you’ll have a formula that looks like this: =AVERAGE(B4:B16)

Hit Enter, and you’ll get the average! That’s all there is to it.

You can also use Excel to calculate the weighted average.

How to Calculate a Student’s T-Test in Excel

A Student’s t-test calculates the chances that two samples came from the same population. A lesson in statistics is beyond this article, but you can read up more on the different types of Student’s t-tests with these free resources for learning statistics (Statistics Hell is my personal favorite).

In short, though, the P-value derived from a Student’s t-test will tell you whether there’s a significant difference between two sets of numbers.

Let’s say you have two measurements from the same group and you want to see if they’re different. Say you weighed a group of participants, had them go through personal training, and then weighed them again. This is called a paired t-test, and we’ll start with this.

Excel’s T.TEST function is what you need here. The syntax looks like this:

 =T.TEST(array1, array2, tails, type) 

array1 and array2 are the groups of numbers you want to compare. The tails argument should be set to «1» for a one-tailed test and «2» for a two-tailed test.

The type argument can be set to «1,» «2,» or «3.» We’ll set it to «1» for this example because that’s how we tell Excel we’re doing a paired t-test.

Here’s what the formula will look like for our example:

Now we just hit Enter to get our result! It’s important to remember that this result is the P value. In most fields, a P value of less than .05 indicates a significant result.

The basics of the test are the same for all three types. As mentioned, a «1» in the type field creates a paired t-test. A «2» runs a two-sample test with equal variance, and a «3» runs a two-sample test with unequal variance. (When using the latter, Excel runs a Welch’s t-test.)

How to Calculate Standard Deviation in Excel

Calculating standard deviation in Excel is just as easy as calculating the average. This time, you’ll use the STDEV.S or STDEV.P functions, though.

STDEV.S should be used when your data is a sample of a population. STDEV.P, on the other hand, works when you’re calculating the standard deviation for an entire population. Both of these functions ignore text and logical values (if you want to include those, you’ll need STDEVA or STDEVPA).

To determine the standard deviation for a set, just type =STDEV.S() or =STDEV.P() and insert the range of numbers into the parentheses. You can click-and-drag or type the range.

At the end, you’ll have a number: that’s your standard deviation.

How to Calculate Standard Error in Excel

Standard error is closely related to standard deviation. And while Excel doesn’t have a function that will calculate it, you can quickly find it with minimal effort.

To find the standard error, divide the standard deviation by the square root of n, the number of values in your dataset. You can get this information with a single formula:

 =STDEV.S(array1)/SQRT(COUNT(array1)) 

If you’re using text or logical values in your array, you’ll need to use COUNTA instead.

Here’s how we’d calculate the standard error with our dataset:

Using Excel for Statistics: Not Great but Workable

Can you use Excel for statistics and complex calculations? Yes. Will it work as well as dedicated statistical software like SPSS or SAS? No. But you can still calculate percentages, averages, standard deviations, and even t-tests.

When you need a quick calculation, and your data is in Excel, you don’t need to import it into different software. And that’ll save you time. You can also use Excel’s Goal Seek feature to solve equations even faster.

Don’t forget to put your data into aesthetically pleasing and informative graphs before you show it to your colleagues! And it would also help to master IF statements in Excel.

You can use the Analysis Toolpak add-in to generate descriptive statistics. For example, you may have the scores of 14 participants for a test.

To generate descriptive statistics for these scores, execute the following steps.

1. On the Data tab, in the Analysis group, click Data Analysis.

Note: can’t find the Data Analysis button? Click here to load the Analysis ToolPak add-in.

2. Select Descriptive Statistics and click OK.

3. Select the range A2:A15 as the Input Range.

4. Select cell C1 as the Output Range.

5. Make sure Summary statistics is checked.

6. Click OK.

Result:

Tip: visit our page about statistical functions to learn more about this topic.

In this tutorial, I will show you how to use the Data Analysis ToolPak to return some descriptive statistics about your data in Microsoft Excel. This includes the mean, standard error, median, mode and so much more.

How to install the Data Analysis ToolPak

A useful feature in Excel that many people do not know about is the Data Analysis ToolPak.

The Data Analysis ToolPak is an add-on created by Microsoft to make it easier to perform different data analysis procedures.

To ensure you have the Data Analysis ToolPak activated correctly, go to File>Options.

Then select Add-ins.

At the bottom, where it says Manage, ensure you select Excel Add-ins and click Go.

Ensure you have the Analysis ToolPak option ticked, and click the OK button.

Now, when you select the Data tab at the top, you should see a Data Analysis button appears.

Now we’re ready to perform the descriptive statistics.

To perform descriptive statistics in Excel, go to Data>Data Analysis.

Then, from the list, select Descriptive Statistics.

This should open a new window.

For the input range, this is where you enter the range of cells containing your data.

Next, need to tell Excel how your data are entered in your sheet.

If you have the values stacked in a column, then these will be grouped by columns. If they were entered into rows instead, then select the rows option.

If you also have labels at the top of your data in the first row, then ensure you select Labels in First Row.

For the output options, this is where you specify where you want the descriptive statistics to be returned

There are three options:

• Output Range – Enter a specific cell in this same worksheet where you want the results to be entered
• New Worksheet Ply – Enter the results in a new worksheet
• New Workbook – Enter the descriptive statistics in an entirely new Excel file

Underneath, you can tick the various descriptive statistic options that you want to perform. At a minimum, you will want to select the Summary Statistics. The Confidence Level for Mean, Kth Largest and Kth Smallest options are optional, and I will explain more about these later.

So that’s the setup done, now press the OK button to perform the descriptive statistics.

How to interpret the descriptive statistics results

Below are some descriptive statistics I have based on some example data. I’ll now go over and explain each output.

Mean

The first result is the mean, or average, value.

This is where you add all the values up in your sample and divide by the number of values in the sample.

To calculate the mean value youself, you can use the AVERAGE function.

=AVERAGE(data)

Standard error

The standard error is a measure of the variability of sample means in a sampling distribution of means.

The higher the standard error, the higher the variability.

You can calculate the standard error yourself by taking the standard deviation and dividing it by the square root of the count.

=STDEV.S(data)/SQRT(COUNT(data))

Median

Say we sorted our data in ascending order from smallest to largest. The median will be the number that lies in the middle of the values, in my case, the answer is 50.3.

You can calculate the median separately by using the MEDIAN function.

=MEDIAN(data)

Mode

The mode represents the value that appears the most in the sample

The mode for my example is 49.8 since this value appears twice.

If you want to calculate this yourself, you can use the MODE.SNGL function.

=MODE.SNGL(data)

Standard deviation

The standard deviation is a measure of the amount of variation in the data relative to the mean, where the higher the standard deviation, the higher the variability.

If you would like to calculate the standard deviation of a sample separately from the descriptive statistics, then use the STDEV.S function.

=STDEV.S(data)

Variance

The variance is simply the square of the standard deviation.

The Excel function for the variance of a sample is VAR.S.

=VAR.S(data)

Kurtosis

Kurtosis is a measure that defines how heavily the tails of a distribution differ from the tails of a normal distribution.

In Excel, a normal distribution has a kurtosis value of 0, positive values indicate a relatively peaked distribution and negative values indicate a relatively flat distribution.

You can use the KURT function to calculate the kurtosis separately.

=KURT(data)

Skewness

Skewness is a measure of asymmetry of the data distribution.

A value of 0 indicates a perfectly symmetrical distribution.

If the value is between -1 and 1, but isn’t 0, then the data are considered fairly skewed. If the value is outside this range, then the data are highly skewed.

The function for skewness is SKEW.

=SKEW(data)

Range

The range is simply the difference between the smallest and largest values in the data.

Minimum

The minimum is the smallest number in the data.

You can use the MIN function to work this out yourself.

=MIN(data)

Maximum

As the name suggests, the maximum is the largest number in the data.

To calculate this separately, use the MAX function.

=MAX(data)

SUM

The sum is the total calculated when you add up all the values in the data.

Use the SUM function to do this yourself.

=SUM(data)

Count

The count is the total number of values you have in your data.

Use the COUNT function to calculate the count separately.

=COUNT(data)

Kth largest

During the descriptive statistics setup, if you selected the Kth Largest option, then you’ll also have this result too.

Say you have 1 in the box next to the Kth Largest option, this would mean the first largest value in the data will be returned – in other words, the maximum.

If a 2 was used instead, then the second largest value will be returned, and so on and so forth.

Kth smallest

Similar to the above, if you selected the Kth Smallest option during the setup, then you’ll also have this result returned.

Having 1 entered during the setup will mean the first smallest value will be determined – the minimum value.

Again, changing this input to a 2 would mean the second smallest value is returned instead.

Confidence level

The last entry in the descriptive statistics table is the confidence interval value.

This is the value you can add and subtract from the mean to calculate the upper and lower confidence intervals, respectively. Specifically, these will be the 95% confidence intervals, since 95 was entered during the setup.

If you want to learn more about calculating confidence intervals in Microsoft Excel, then check out this post.

How to perform descriptive statistics in Excel: Final words

You should now know how to calculate some descriptive statistics in Excel.

Using the Data Analysis ToolPak makes this process so much easier and quicker than using separate functions.

Microsoft Excel version used: 365 ProPlus