Footwear brands and their ratings.
Tejasva Agrawal (021330024426)
ITM Skills University.
Introduction
Some popular footwear brands in the market are Nike , adidas, new balance and puma, these different footwear brands are known for their different characteristics with each brand leading in some or the other; For example, Puma gives its customers a wide range of products with affordable price range while Nike leads in trendy fashion sense.
Objective
To determine whether the customers are in a harmony while selecting footwear brands or their choices vary across the 4 brands.
Data Collection
To conduct this research the data was collected from 25 students through a questionnaire with response ratings scaling from 1-10, 1 being least preferable and 10 being highest favorable, also post data collection single factor Anova was calculated to analyze the differences in ratings between the mentioned footwear brands.
Data Analysis:
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
181.96 |
3 |
60.65333 |
8.628809 |
3.97E-05 |
2.699393 |
|
Within Groups |
674.8 |
96 |
7.029167 |
|||
|
Total |
856.76 |
99 |
|
|
|
|
Null Hypothesis (H0): There are no significant differences in the means of the groups (Nike, Adidas, New balance ,Puma). Alternative Hypothesis (H1): At least one group mean is significantly different from the others. F-value: 8.63 P-value: 3.97, F critical value: 2.6994 If the P-value is less than the significance level (commonly 0.05), we reject the null hypothesis. Alternatively, if the F-value is greater than the F critical value, we also reject the null hypothesis. P-value: 3.97 > 0.05 (significant),F-value: 3.58 > 2.6994 (also significant)
CONCLUSION
Since the P-value is more than 0.05 and the F-value exceeds the F critical value, we reject the null hypothesis. This indicates that there is a statistically significant difference in the means of at least one of the Nike, Adidas, New balance , Puma.