Calculating a One-Way ANOVA for four online applications used for clothing shopping.  

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: 

  1. 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. 

  1. Myntra

Myntra is a popular Indian e-commerce platform specializing in fashion and lifestyle products, providing a diverse selection of clothing, footwear, and accessories. 

  1. 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. 

  1. 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

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