# Struggling with Two-Way ANOVA With Replication in Excel?

## QI Macros will run Two-way Anova for you AND interpret the results.

#### Run ANOVA Two-factor with replication using QI Macros:

- Select your data.
- Click on QI Macros menu > Statistical Tools > ANOVA > ANOVA Two Factor With Replication
- QI Macros will do the math and analysis for you.

Two-Way ANOVA (ANalysis Of Variance) , also known as two-factor ANOVA, can help you determine if two or more samples have the same "mean" or average. Note: Your data must be normal to use ANOVA.

### What Makes QI Macros Statistical Add-in for Excel Unique?

**Works Right in Excel:**point and click simple.**Interprets the results for you:**QI Macros built in code will tell you what the numbers mean.**Draws a chart**to help you visualize the comparison between data sets.

If you are not sure which statistical test to run, QI Macros Stat Wizard will select the right test for you.

### Two-Way ANOVA Test With Replication Example

What if you have two populations of patients (male/female) and three different kinds of medications, and you want to evaluate their effectiveness? You might run a study with three "replications", three men and three women.

#### To Conduct the Anova Test in Excel Using QI Macros:

- Click and drag over your data to select it:
- Click on QI Macros Menu, Statistical Tools and then ANOVA Two Factor with Replication:
- QI Macros will prompt you for how many rows are in each sample (three) and for a significance level. Default is alpha=0.05 for a 95% confidence.
- QI Macros will perform all of the calculations and interpret the results for you:

### Interpretation of the Two-Way ANOVA Results

QI Macros built in code compares the p-values (0.179) to the significance level (0.05) and tells you: "Cannot Reject the Null Hypothesis (Accept the Null Hypothesis) because p>0.05" and that the "Means are not Different/Means are the Same".

### Tips on Setting Up Your Data for Two-Factor with Replication

To analyze data, Excel requires you to set the data up in a way that can be analyzed.

The example below shows how to set up the data for two categories of patients treated with three different drugs:

Then, if you're just interested in the single factor DRUGS, select and run a ANOVA single factor on the three drug columns:

If you're interested in a ANOVA two-factor analysis (patients vs drugs), select and run a two-factor analysis with repetition (more than one patient in the category receives the same drug).