Title: Comparative analysis between 4 Car Brands.
Author: Janhavi Kale
Introduction: BMW: A luxury automaker known for high-performance cars and motorcycles, blending innovation with style in models like the 3 Series and X5.
Hyundai: A global car brand offering affordable, tech-forward vehicles, including electric models like the Kona, known for safety and modern design.
Toyota: A leading automaker famous for reliable, fuel-efficient vehicles and hybrids like the Prius, with a strong focus on sustainability.
Mahindra: An Indian brand known for rugged SUVs like the Scorpio and Thar, excelling in off-road and commercial vehicles, with growing efforts in electric mobility.
Objective: Find out whether all Car Brands are same or not.
Data Collection: Primary data was collected in a classroom setting, with 20 students participating. The students provided ratings on a scale of 1 to 10. The collected data was subsequently analyzed, and an ANOVA table was generated for further statistical interpretation.
Data Analysis:
Ho: All Car Brands are same.
H1: Any one of the Car Brands is different.
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Anova: Single Factor |
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SUMMARY |
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Groups |
Count |
Sum |
Average |
Variance |
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|
Toyota |
20 |
164 |
8.2 |
2.484210526 |
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|
Mahindra |
20 |
147 |
7.35 |
1.818421053 |
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|
Hyundai |
20 |
140 |
7 |
2.315789474 |
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|
BMW |
20 |
183 |
9.15 |
0.871052632 |
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|
ANOVA |
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Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
55.25 |
3 |
18.41666667 |
9.836027173 |
0.00001 |
2.72494392 |
|
Within Groups |
142.3 |
76 |
1.872368421 |
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Total |
197.55 |
79 |
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|
|
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The above anova table shows the P value which determines whether we accept or reject the null hypothesis and vice versa. The P value for the data collected and analyzed is 0.0001, which is less than 0.05 meaning we accept alternate hypothesis.
Conclusion: P value is 0.0001 which is less than 0.05 therefore we reject null hypothesis and accept alternate hypothesis, that concludes that any one of the Car Brands is different.