Some expert who deal with numbers and statistics may also need a number of statistical analyzes. Probably, such people need to get the variance of the samples. The tutorial shows how to determine ANOVA in excel.
What is ANOVA?
The ANOVA (Analysis of variance) is a collection of statistical models that examine the mean in groups. Their dependent functions (such as variance in a group or between several groups). In this method, the variance obtained from a random variable is divided into smaller components that are variance sources. The ANOVA provides a statistical test that tests the equality of the meanings of different groups In its simplest form. Thus broadens the t-test test to more than two groups.
How ANOVA works in Microsoft Excel?
You can use three different methods to analyze variance or data dispersion In Excel. But three types of variance analysis in Excel.
ANOVA: Single Factor, is used to analyze the variance in the case of a dependent variable and an independent variable. For example, the dependent variable is blood pressure and the independent variable is salt or body weight.
ANOVA: Two-Factor with Replication, is used to analyze the variance of two independent data groups. Like double-measuring blood pressure in a classroom student who has no specific relationship.
ANOVA: Two-Factor without Replication, is used to analyze the variance in the case of two independent variables and there is no copy data in the measurement.
We will work with the analysis tool for variance and explain the first state with a simple example. Consider three data groups called Intervention 1 to Intervention 3, each with a separate column. You can also use rows to enter the data. Click the Data Analysis tool and select the ANOVA: Single Factor.
In the Input Range field, select the range containing the three columns containing the data. Given the fact that the data is in a column form, select Columns. Row data must be selected for rows data.
Select the Output Range field to find a location to display the result of the ANOVA(analysis of variance).
By clicking the OK button, the result will be as follows:
Given the fact that the P-value is smaller than 0.05, the difference between the two groups of statistical information provided is high, but Excel does not exactly determine which data group has been significantly different. So, consider the average of the three data groups. In this example, it’s clear that the third group or Intervention 3 is completely different with the other two groups, but it should not always be deduced simply from the average data.
Good job! You learned How to determine ANOVA in excel.