Bike Preference Survey Using ANOVA: Single Factor
Author: Rajesh choudhary1*
1 F2 2024-26 – 021330024254, ITM Business School, Kharghar, Maharashtra, India
* Corresponding Author E-mail: rajeshchoudhary1423@gmail.com
Introduction: Bike preference attracts different levels of interest among audiences. This report focuses on understanding the preferences of students at ITM Business School by analysing their ratings for four major bike preference. A statistical method, ANOVA: Single Factor, is used to determine if there is a significant difference in the ratings given to these bikes.
Objective: To find out if there are significant differences in the preferences (ratings) of ITM students for the Bikes.
Data Collection: Students of ITM Business School were surveyed. Each student rated four Bike preference i.e. Kawasaki, Honda, KTM, BMW, Royal Enfield on a scale of 1 to 10, were 1 indicates low preference and 10 indicates high preference. The ratings for each genre were recorded for analysis.
Data Analysis: The ANOVA: Single Factor test was performed to compare the means of the ratings across the four bikes.
The hypotheses for the test are:
- Null Hypothesis (H0): There is no significant difference in the average ratings of Kawasaki, Honda, KTM, BMW, Royal Enfield
- Alternate Hypothesis (H1) At least one of the bikes has a significantly different average rating.
The results of the ANOVA: Single Factor test are as follows:
Anova: Single Factor
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
4.819048 |
4 |
1.204762 |
0.665089 |
0.617701 |
2.462615 |
|
Within Groups |
181.1429 |
100 |
1.811429 |
|||
|
Total |
185.9619 |
104 |
|
|
|
|
Since the p-value (0.617701) is greater than the standard significance level of 0.05, we accept the null hypothesis.
Conclusion: There is no significant difference in the bike ratings given by the ITM students.