Title : Calculating a One-Way ANOVA for four online applications used for clothing shopping.
Author: Kavita Gadhe , MMS, Batch A Roll No. 13
Introduction:
In this analysis 4 online shopping apps have been taken, namely:
- H&M
H&M is a global fashion retailer known for its trendy clothing and accessories, offering a wide range of affordable and stylish options.
- Myntra
Myntra is a popular Indian e-commerce platform specializing in fashion and lifestyle products, providing a diverse selection of clothing, footwear, and accessories.
- Meesho
Meesho is an Indian social commerce platform that enables individuals to start their own online businesses by reselling fashion and lifestyle products to their network, promoting entrepreneurship.
- Amazon
Amazon is a renowned multinational e-commerce and technology company, offering a vast array of products and services, including a wide selection of fashion items.
Objective: To Compare 4 online apps by the way of One Way ANOVA.
Data Collection: Students of our Batch were requested to grade the following apps on the scale of 1-10- and One-way ANOVA was calculated.
Data Analysis:
Hypothesis:
H0: All online apps are equal (A=B=C=D)
H1: Any one of online app is different.
ANOVA |
|
|
|
|
|
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
Between Groups |
24.9 |
3 |
8.3 |
2.57 |
0.06 |
2.72 |
Within Groups |
245.3 |
76 |
3.22 |
|
|
|
Total |
270.2 |
79 |
|
|
|
|
Result: Table F=0.05, 3 DF, 76 DF = 2.72
As Calculated F = 2.57 is less than tabulated F= 2.72, accept H0, reject H1, which means all are the same