Title- Comparison of Shoe Brands
Author- Shradha Amol Churi
Introduction- Your shoes are an important part of your outfit. High-end shoes make you look better and give you a charismatic personality. Shoes should be both comfy and fashionable at the same time. Consequently, having a pair of fashionable, cozy shoes is essential.
Most individuals wear shoes for a variety of reasons, such as adhering to social customs, safeguarding their feet, and keeping up with current fashion trends. Your personality affects how your shoes respond. For example, if you do not wear dress shoes to a meeting when dressed in formal clothing, you will stand out from the crowd. A variety of shoe brands come to mind while attempting to select the most comfortable pair.
Objective-: To compare the likeability of the shoe brands
1)NIKE
2)ADIDAS
3)SKECHERS
4)PUMA
Test Hypothesis: H0 all are same, H1 at least one of them is different.
Data Collection: Four shoe brands were selected for this Project: One Way ANOVA. Students of the class were requested to grade the brands out of 10 and then One Way ANOVA was calculated.
Data Analysis:
Anova: Single Factor;
SUMMARY
Groups Count Sum Average Variance
NIKE 40 333 8.325 6.73782051
ADIDAS 40 316 7.9 3.16923077
SKECHERS 40 300 7.5 6.05128205
PUMA 40 296 7.4 4.24615385
ANOVA
Source of
Variation SS df MS F P-value F crit
Between Groups 21.36875 3 7.122916667 1.4101653 0.241920072 2.662568549
Within Groups 787.975 156 5.051121795
TOTAL 809.3438 159
The ANOVA table shows that the “Between Groups” factor has a sum of squares (SS) of 21.37, a degree of freedom (df) of 3, and a mean square (MS) of 7.122916.
The “Within Groups” factor has an SS of 787.975 and a df of 156, resulting in an MS of 5.051121.
The F-ratio calculated by dividing the MS for the “Between Groups” factor by the MS for the “Within Groups” factor is 1.4101653, which corresponds to a P-value of 0.241920.
The P-value associated with the F-ratio is 0.241920, which is greater than the conventional threshold of 0.05. This indicates that there is no significant difference between the means of the groups.
The critical F-value for this analysis, based on a significance level of 0.05 and the degrees of freedom for the “Between Groups” and “Within Groups” factors, is 2.662569. The obtained F-ratio is smaller than the critical F-value, indicating that there is no significant difference between the means of the groups.
H0 accepted.
CONCLUSION: All are the same.