Parents always educate their children to study hard and make progress every day for a better future. So, is higher education really better? Does the level of education have anything to do with the salary level of future employment and the size of the housing area to buy a house?
At this time, we can use analysis of variance to help us understand the answer to this question~
Open the online SPSS analysis software SPSSAU, after importing the data, select "Variance" in the left sidebar.
Put "education level" into the X box, "salary" and "housing area" into the Y box, click "start variance analysis", and SPSSAU can output the result table with one click.
After the analysis, the following result table was obtained.
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 looking at these words. It turns out that the number of waterings has no significant effect on the number of apples, while the sunshine time will affect the results. The number has a significant positive effect~ No wonder the apple trees in the plateau have a high fruiting rate.
The SPSSAU system also outputs a line graph of the results, making the analysis more intuitive~
theory
There are many types of analysis of variance (ANOVA), the most common is one-way variance, which studies the difference between X and Y, where X is categorical data and Y is quantitative data. In the final analysis of variance analysis, first analyze the P value. If the value is less than 0.05, it means that there is a difference; the specific difference can be compared with the average value. If the P value was greater than 0.05, no difference was said to arise. The F value belongs to the intermediate process value. If you want to calculate the P value, you must first calculate the F value, so SPSSAU also outputs the F value result.
Is this method of analysis very convenient? "Analysis of variance" has rich specific application scenarios in academic papers and research reports, and has applications in many disciplines such as sociology, economics, and biology.
Tips1: ANOVA (one-way ANOVA) is used to analyze the relationship between categorical data and quantitative data, while T test can only compare the differences between the two groups of data.
Tips2: If X and Y are categorical data, and want to compare the differences, you need to use chi-square analysis. If X is categorical and Y is quantitative; and X is divided into two groups, such as male and female; at this time, t-test can also be used to compare differences (of course, analysis of variance can also be used).
In addition to the variance analysis mentioned above, the analysis methods provided by SPSSAU to users also include reliability analysis, validity analysis, regression analysis, chi-square analysis and T-test, multiple-choice questions and various cross-analysis.
Want to know more and more powerful functions of SPSSAU?
Quickly turn on the computer and enter spssau.com to try it!