TITLE: Superbike Preference Rating
Author: Manan Khamesra (F2)
Introduction: This study compares four well-known superbikes: BMW S1000RR, Kawasaki ZX10R, Honda CBR 1000RR and Yamaha R1, using a one-way ANOVA method. The results will help highlight the unique qualities of each brand.
Objective: To compare the ratings of four Superbikes.
Data Collection: I gathered feedback from my friends about four superbikes and asked them to rate each brand on a scale from 1 to 10. To analyse the collected data, a one-way ANOVA (Analysis of Variance) was used to determine if there are differences among the four brands.
Data Analysis: The ANOVA: Single Factor test was performed to compare the ratings of four brands.
The hypotheses for the test are:
- Null Hypothesis (H0): It states that all superbike preferences are the same.
- Alternative Hypothesis (H1): It indicate that at least one superbike is rated significantly differently.
The results of the ANOVA: Single Factor test are as follows:
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
1.79 |
3 |
0.596667 |
0.619913 |
0.603794 |
2.699393 |
|
Within Groups |
92.4 |
96 |
0.9625 |
|||
|
Total |
94.19 |
99 |
|
|
|
|
The above table shows P vale as 0.603 which is more than 0.05 which means NULL Hypothesis is accepted.
Conclusion: All superbikes preference are same