Reference ideas for question C:
1. Ideas for question 1:
Determine the main indicator system of the research problem (sales of new energy electric vehicles quantity, safety indicators, number of charging piles, battery life
mileage, etc.), collect the corresponding data of the indicators, and check whether the data obeys normality:
If Obeying the normal distribution:
0, the "multivariate variance analysis" model can be considered as a priority: to analyze the main influencing factors
that affect the development of new energy electric vehicles in China, The size of the F value is used as a measure of the size of the impact. Sort according to the size of the "F value". The first few main indicators are the main influencing factors. The results can be displayed in a numerical table or graphically. ; 2. You can also use the "T test" model: to analyze the main influencing factors affecting the development of new energy electric vehicles in China, and use the T value as the influence Size measurement, sorted according to the size of "T value", the top few main indicators are the main influencing factors, The results can be displayed through numerical tables or graphics; 3. You can also use the "signal-noise difference" model: to analyze the main influencing factors affecting the development of new energy trams in China, and use the "signal-noise difference value" as a measure of influence. , sorted according to the size of "signal-noise difference", ranked first Several main indicators are the main influencing factors, and the results can be displayed through numerical tables or graphics. If it does not obey the normal distribution: D, adopt the "divide and conquer" idea: classify the data strips, with abnormal values as a subset and normal values as a subset. Set Check whether the normal value obeys the "normal distribution". If it obeys the normal distribution, then solve it according to the above idea. If it does not obey the normal distribution, the The "divide and conquer" thinking method fails; 2. Use the "rank sum test U test" model: to analyze the main influencing factors affecting the development of new energy electric vehicles in China, through The size of the "U test" is used as a measure of influence. Sort according to the size of the "U test". The first few main indicators are the main influencing factors. The results can be displayed in a numerical table or Graphic display.
For complete ideas, please see the business card at the end of the article