Steps: 1. Open excel, click "File", then click "Options" to add the "Data Analysis" module; 2. Click "Data Analysis", click "Unduplicated Two-Factor Analysis", click " "OK"; 3. Select all data including group names in the "input area", click on a blank space in the text in the "output area", and click "OK".
Steps to use excel to analyze the significance of data differences:
Tool material: excel2013 version;
1. Open excel and add the "Data Analysis" module; the result is as shown in the figure;
Steps to add the "Data Analysis" module:
① Click the "File" option in the upper left corner;
② In the pop-up box, select "Options";
③ Then select "Add-ons" and select "Analysis ToolPak";
④Click "Go to (G)", check "Analysis ToolPak" in the pop-up "Add-in" interface, and click Confirm;
#⑤Add the "Data Analysis" module successfully.
2. Click the "Data Analysis" tab, select "Two-factor analysis without repetition" in the analysis of variance, and click "OK";
3. In the "Input Area", select all the data including the group name. In the "Output Area", click on a blank position in the text and click OK;
4. The pop-up box is the result analysis;
5. Analysis results: From the three values of F, P-value, and Fcrit, it is concluded that if F is greater than Fcrit , the difference has been compared, and combined with the P-value, if the P-value is greater than 0.01 and less than 0.05, it means the difference is significant; if the P-value is less than 0.01, it means the difference is extremely significant. If F is less than F crit, then the P-value must be higher than 0.05, which means there is no difference between the two sets of data;
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