Does the goddess around you smoke? - Chi-square analysis to help you find the answer

The goddess in the next class is pretty and everyone loves her, but you always smell smoke on her... How likely is the goddess to smoke?

As we all know, some male compatriots around us often smoke to reduce stress, while girls are relatively rare. So are there really fewer girls who smoke than boys? Is there a correlation between gender and smoking?

In line with academic rigor, the editor decided to collect a wave of data for a rigorous analysis.

After collecting the smoking data of men and women, the p-value of the data was calculated and found to be significant, indicating that the two groups of data have significant differences, and chi-square analysis can be carried out for further exploration.

Chi-square analysis

Chi-square analysis (also known as cross-tab analysis, contingency table analysis, Pearson chi-square analysis, etc.) is often used to analyze the relationship between two sets of categorical data.

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Open the online SPSS analysis software SPSSAU, after importing the data, select "cross analysis" (chi-square analysis) in the left sidebar, and select the gender and smoking in the data.

Click "Start Cross Analysis", and SPSSAU can output the result table with one click. There are also various column charts and bar charts, which are convenient to copy directly into the report.


From the table below output by SPSSAU, it can be seen that there are significant differences in smoking among different gender groups (X2 = 13.747, P = 0.000 0.01). Specifically, by comparing the percentage differences, 90.0% of the male group smoke (significantly higher than the average level of 47.6%). %), but only 9.1% of women smoke.

Further using the principles of big data and artificial intelligence, the SPSSAU system also automatically outputs intelligent texts , we can understand the results directly by reading these texts, and it is also handy to write investigation reports and analyze results~


In order to display the results more intuitively, you can further use SPSSAU to directly export various charts, which are convenient to copy directly into the report. for example……

bar chart

column chart

It can be clearly seen from the histogram that the proportion of smoking in the male group is significantly higher than that of the female group, so there is a correlation between gender and smoking.


In addition to bar charts and column charts, SPSSAU can directly export the analysis results of multiple-choice questions , multiple -choice questions and other multiple-choice questions for other analysis methods, making the report more convincing~




Is this method of analysis very convenient? "Chi-square analysis" has rich specific application scenarios in academic papers and research reports, including policy analysis, analysis of social survey results, and so on.

Tips: It should be noted that the chi-square analysis studies the "relationship", that is, the difference or difference. When interpreting the table, you can directly compare the difference horizontally/vertically, such as comparing X% and Y%, or comparing X% and Z%.


In addition, in addition to the chi-square analysis mentioned above , the analysis methods provided by SPSSAU to users also include reliability analysis, validity analysis, variance analysis, T test, correlation analysis and regression analysis , multiple-choice questions and various cross-analysis , etc. .

Want to know more and more powerful functions of SPSSAU?

Quickly turn on the computer and enter spssau.com to try it!

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