Cows and snails, which animal has a higher IQ? - T-test to help you find the answer

Cows and snails are both "cow", so which animal is more "cow" and has a higher IQ? At this point, you can use the T test to find the answer~


 

T-test (independent sample T-test) is used to analyze the relationship between categorical data and quantitative data. For example, in this study, we wanted to see if there was a significant difference in mean IQ between cows and snails. The T test can then compare the differences between the two groups of data.

First, determine whether the p-value is significant. If it is significant, it means that the two groups of data are significantly different, and the specific difference can be compared and judged by the average value.

Open the online SPSS analysis software SPSSAU, after importing the data, select "T test" in the left sidebar.

Put "animal species" in the X box, "IQ value" in the Y box, click "Start T-Test Analysis", and SPSSAU can output the result table with one click.


 

After the analysis, the following result table was obtained. A total of t-values ​​and P-values ​​are output, as well as mean and standard deviation values. The P value and the mean are more meaningful; but the t value and the standard deviation value need to be output, because the P value needs to be calculated from the t value, and whether there is a difference in principle will be related to the standard deviation value.


 

For the analysis result table, the SPSSAU system will automatically output analysis suggestions. According to the suggestions, we can understand the meaning of the result table and analyze it by ourselves~


 

Further using the principles of big data and artificial intelligence, the SPSSAU system also automatically outputs intelligent analysis. We can understand the results directly by reading these words, and writing investigation reports and results analysis is also handy~


 

Is this method of analysis very convenient? "T-test" has rich specific application scenarios in academic papers and research reports, and has applications in many disciplines such as industry and agriculture, hydrology, meteorology, social economy and biology.

Tips1: If you use the T test to analyze the difference between X and Y; X can only be divided into two groups; if X is three groups (such as below undergraduate, undergraduate, and above), you need to use variance analysis.

Tips2: If X and Y are categorical data, and want to compare the differences, you need to use chi-square analysis.

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


 

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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