RATINGS GIVEN TO 4 EV CARS BRAND BY STUDENTS
Author: Ayush kumbhar
INTRODUCTION
It is a survey report that represents analysis of the ratings given by students of 4 EV car brands.
Electric vehicles, also known as electric cars or e-mobility, are vehicles that are powered by electric motors using electricity from batteries or other electric sources. EV’s use one or more electric motors for propulsion and have significantly lower emissions compared to traditional internal combustion engine (ice) vehicles.
Mg motors’ electric vehicle (EV): MG motors, a British automotive company owned by China’s saic motor, offers a range of electric vehicles in India and globally.
Tata motors’ electric vehicle (EV): tata motors, India’s largest automobile company, has been at the forefront of electric mobility in India. Their EV range offers affordable, sustainable, and performance-driven options.
Ola electric vehicle (EV): ola electric, a subsidiary of ola cabs, is an Indian electric vehicle manufacturer revolutionizing the EV market.
Mahindra electric vehicle (EV): Mahindra electric, a subsidiary of Mahindra & Mahindra, is an Indian electric vehicle manufacturer pioneering sustainable mobility solutions.
OBJECTIVES
To compare 4 EV car brands.
DATA COLLECTION
The data was collected through google form by giving rating on the scale of 1 to 10 of 4 EV car brand by 25 students of my class. Collected data put up in excel where anova 1 factor or single factor test was performed from data analysis tool.
DATA ANALYSIS
- Null Hypothesis: All are same
- Alternate Hypothesis: Anyone is Different
Anova: single factor
|
Summary |
||||||
|
Groups |
Count |
Sum |
Average |
Variance |
||
|
Tata |
25 |
208 |
8.32 |
2.726666667 |
||
|
Ola |
25 |
179 |
7.16 |
1.14 |
||
|
Morris garages (mg) |
25 |
175 |
7 |
1.416666667 |
||
|
Mahindra |
25 |
188 |
7.52 |
1.426666667 |
||
|
Anova |
||||||
|
Source of variation |
Ss |
Df |
Ms |
F |
P-value |
F crit |
|
Between groups |
25.96 |
3 |
8.653333333 |
5.158469945 |
0.002384402 |
2.699392598 |
|
Within groups |
161.04 |
96 |
1.6775 |
|
|
|
|
|
|
|
|
|
|
|
|
Total |
187 |
99 |
|
|
|
|
CONCLUSION
Since the P value is lesser than the common significance level (0.05), we should accept the alternate hypothesis (H1). This suggests that there are significant differences in the performances among the four cars. Therefore, we conclude that data is not statistically significant.