Excel Functions Tutorials
- Excel Tools
- Excel Ribbons and Tabs
- Quick Access Toolbar in Excel (QAT)
- "Save As" Shortcut in Excel
- Accounting Number Format in Excel
- Add-Ins in excel
- Add Filter in Excel
- Advanced Filter in Excel
- Auto Filter In Excel
- Auto Format Excel
- AutoFill in Excel
- Analysis ToolPak in Excel
- ANOVA in Excel
- Border in Excel
- Checkbox in Excel
- Check Mark in Excel (? Tick Symbol)
- Combo Box in Excel and VBA
- Conditional Formatting in Excel
- Conditional Formatting with Formulas
- Conditional Formatting for Blank Cells
- Conditional Formatting Based on Another Cell Value
- Conditional Formatting in Pivot Table
- Consolidate Data in Excel
- Comma Style in Excel
- CSV vs Excel
- Data Bars in Excel
- Data Table in Excel
- Data Validation Excel
- Data Model in Excel
- Developer Tab in Excel
- Descriptive Statistics in Excel
- Dynamic Named Range in Excel
- Drawing in Excel
- Excel Fill Handle
- Excel Fill Down
- Error Bars in Excel
- Excel Forms for Data Entry
- Excel Tables
- Excel Power View
- Exponential Smoothing in Excel
- Filters in Excel
- Flash Fill in Excel
- Freeze Panes in Excel
- Freeze Columns in Excel
- Freeze Cells in Excel
- Format Painter in Excel
- Shortcut for Format Painter in Excel
- F-Test in Excel
- Goal Seek in Excel
- Gridlines in Excel
- Heat Map in Excel
- 3D Maps in Excel
- Header and Footer in Excel
- Insert Button in Excel
- Insert / Draw Line in Excel
- Insert Function in Excel
- List Box in Excel VBA
- Lock Cells in Excel
- Macros in Excel
- Enable Macros in Excel
- Merge and Center in Excel
- Merge Cells in Excel
- Merge Tables in Excel
- Name Box in Excel
- Name Range in Excel
- Null in Excel
- One Variable Data Table in Excel
- OneDrive Excel
- Protect Workbook in Excel
- Pivot Table in Excel
- Pivot Table Examples
- Pivot Table Filter
- Pivot Table Slicer
- Paste Special in Excel (With Top 10 Shortcuts)
- Quick Analysis Tools in Excel
- Radio Button in Excel
- Recording Macros in Excel
- Regression Analysis in Excel
- Scenario Manager in Excel
- Scroll Bars in Excel
- Scroll Lock in Excel
- Slicers in Excel
- Solver in Excel
- Sort by Color in Excel
- Sort by Number in Excel
- Sort Data in Excel
- Sparklines in Excel
- Spell Check in Excel
- Split Panes in Excel (Horizontally, Vertically, Cross Split)
- Status Bar in Excel
- Text to Columns in Excel
- Timeline in Excel
- Toolbar on Excel
- Track Changes in Excel
- Trend Line in Excel
- Two-Variable Data Table in Excel
- Watch Window in Excel
- Wrap Text in Excel
- XML in Excel
- Financial Functions in Excel (17+)
- Logical Functions in Excel (15+)
- TEXT Functions in Excel (29+)
- Lookup Reference in Excel (44+)
- Maths Functions in Excel (52+)
- Date and Time Function in Excel (22+)
- Statistical Function in Excel (50+)
- Information Functions in Excel (5+)
- Excel Charts (48+)
- Excel Tips (178+)
- VBA (162+)
- Power Bi (35+)
Analysis toolpak in excel is an addin in excel which allows us to do data analysis and various other important calculations, this addin is by default not enabled in excel and we have to manually enable it from the files tab in the options section and then in the addins section we click on manage addins then check on analysis toolpak to use it in excel.
Analysis ToolPak in Excel (Table of Contents)
- Excel Data Analysis ToolPak
- List of Function Available in Excel Data Analysis Tools
Excel Data Analysis ToolPak
Data Analysis ToolPak is an add-in in Excel, which we can use for financial, statistical and engineering data analysis.
As this is one of the add-ins, we need to load this add-in first.
How to Load the Data Analysis Toolpak in Excel?
Step 1 – Click on ‘File’.
Step 2 – Click on ‘Options’ from the list.
Step 3 – Click on ‘Add-ins’ and then choose ‘Excel Add-ins’ for ‘Manage’. Click on ‘Go’.
Step 4 – The ‘Excel Add-ins‘ dialog box will appear with the list of add-ins. Please check for ‘Analysis ToolPak’ in excel and click on ‘OK’.
Step 5 –The command ‘Data Analysis’ will appear under the ‘Data’ tab in Excel at the extreme right of the ribbon as displayed below.
List of Functions Available in Excel Data Analysis ToolPak
Below is the list of available functions in Analysis Toolpak Excel Add-in:
#1 – ANOVA: Single Factor in Excel
ANOVA stands for Analysis of Variance and is the first set of options available in Analysis Toolpak Excel Add-in. In one way ANOVA, we analyze whether there are any statistical differences between the means of three or more independent groups. The null hypothesis proposes that no statistical significance exists in a set of given observations. We test this hypothesis by checking the p-value.
Let us understand this by an ANOVA excel example.
Example of Anova: Single Factor
Suppose, we have following data from the experiment conducted to check ‘Can self-control be restored during intoxication?’ We categorized 44 males into 4 equal groups comprising 11 males in each group.
- Group A received 0.62mg/kg of alcohol.
- Group AC received alcohol plus caffeine.
- Group AR received alcohol and a monetary reward for performance.
- Group P received a placebo.
Scores on a ward stem completion task involving “controlled (effortful) memory processes” were recorded and the result is as follows:
We need to test the null hypothesis which proposes that all means are equal (there is no significant difference).
To run the ANOVA one-way test, we need to perform the following steps:
- Click on the ‘Data Analysis’ command available in the ‘Data’ tab under ‘Analysis’.
- Select ‘Anova: Single Factor’ from the list and click on ‘OK’.
- We get ‘Anova: Single Factor’ dialog box. We need to select Input Range as our data with column heading.
- As we have taken column headings in our selection, we need to the checkbox for ‘Labels in the first row’.
- For output range, we have selected F1. Please click on ‘OK’.
We have now ANOVA analysis.
The larger the F-statistic value in excel, the more likely it is that the groups have different means which rejects the null hypothesis that all means are equal. An F-statistic greater than the critical value is equivalent to a p-value in excel less than alpha and both mean that we reject the null hypothesis. Hence, it is concluded that there is a significant difference between groups.
Things to Remember About ANOVA in Excel
We need to make sure that the first variance value is smaller than the second variance so that we will get the exact F Value.
#2 – Correlation in Excel
Correlation is a statistical measure available in Analysis Toolpak Excel Add-in and it shows the extent to which two or more variables fluctuate together. A positive correlation in excel indicates the extent to which those variables increase or decrease in parallel and a negative correlation indicates the extent to which one variable increases as the other decreases.
Example of Correlation in Excel
We have the following data related to advertising cost and sales for a company. We want to find out the relationship between both so that we can plan accordingly our budget and expect sales (set target considering other factors also).
To find out the correlation between these two sets of variables, we will follow below mentioned steps:
- Click on ‘Data Analysis’ under ‘Analysis’ group available in ‘Data’.
- Choose ‘Correlation’ from the list and click on ‘OK’.
- Choose range ‘$A$1:$B$16’ as input range and $F$1 as output range. Please tick the checkbox for ‘Labels in the first row’ as we have column headings in our input range and as we have different heads in a different column. We have chosen ‘Columns’ for ‘Grouped By’.
- Select the Output range then, click on ‘OK’.
- We get the result.
As we can see, the correlation between advertising cost (column head) and Sales (row head) is +0.86274 approx. which indicates that they have a positive correlation and to 86.27% extent. Now we can accordingly take a decision about the advertising budget and expected sales.
#3 – Rank and Percentile in Excel
Percentile in excel refers to a number where a certain percentage of scores fall below that number and is available in the Analysis Toolpak Excel Add-in. For example, if a particular score is in the 90th percentile, that means the student has scored better than 90% of people who took the test. Let us understand this with an example.
Example of Rank & Percentile in Excel
We have the following data for the scores obtained by a student of a class.
We want to find out the rank and percentile for every student.
The steps would be:
- Click on ‘Data Analysis’ under ‘Analysis’ group available in ‘Data’.
- Click on ‘Rank and Percentile’ from the list and then click on ‘OK’.
- Select ‘$B$1:B$B$17’ as input range and ‘$D$1’ as output range.
- As we have data field heads in columns i.e., the data is grouped in columns, we need to select ‘Columns’ for ‘Grouped By’.
- We have selected column heading also in our input range that is why we need to check for ‘Labels in the first row’ then, click on ‘OK’.
- We got the result as the following image.
We got the result as given below.
#4 – Descriptive Statistics in Excel
Descriptive statistics included in the Analysis Toolpak Excel Add-in contains the following information about a sample:
- Central Tendency
- Mean: It is called average.
- Median: This is the mid-point of the distribution.
- Mode: It is the most frequently occurring number.
- Measures of Variability
- Range: This is the difference between the largest and smallest variables.
- Variance: This indicated how far the numbers are spread out.
- Standard Deviation: How much variation exists from the average/mean
- Skewness: This indicates how symmetrical the distribution of a variable is.
- Kurtosis: This indicates peakedness or flatness of a distribution.
Let us understand the same with a Descriptive Statistics excel example.
Example of Descriptive Statistics
Below we have marks scored by students in Economics subject. We want to find out descriptive statistics.
To do the same, the steps are:
- Click on the ‘Data Analysis’ command available in the ‘Analysis’ group in ‘Data’.
- Choose ‘Descriptive Statistics’ from the list and click on ‘OK’.
- Choose ‘$A$1:$A$15’ as input range, choose ‘Columns’ for ‘Grouped By’, tick for ‘Labels in the first row’,
- Choose ‘$C$1’ as output range and make sure that we have checked the box for ‘Summary Statistics’. Click on ‘OK’.
Now we have our descriptive statistics for the data.
This has been a guide to Data Analysis ToolPak Add-in in Excel. Here we discuss the steps to load data Analysis Toolpak in Excel for tools like 1) Anova, 2) Correlation, 3) Rank and Percentile, 4) Descriptive Statistics along with practical examples and downloadable excel template. You may learn more about excel from the following articles –
- Central Tendency | Formula with Examples
- What is the Percentile Rank Formula?
- Skewness Formula
- Explanation of LOOKUP Formula in Excel
- What is Linear Regression Formula?
- What is the Percentile Rank Formula in Excel?
- Using Exponential Smoothing in Excel
- Advanced Excel Formulas
- Basic Excel Formulas
- Using Correlation Matrix in Excel