Comparison of 4 coffee brand

 

TITLE: Comparison of 4 different coffee brand

INTRODUCTION:

This report aims to provide a comprehensive comparison of four distinct coffee brands: Starbucks, Costco, Blue Tokai, and Third Wave Coffee. These brands operate in different segments of the coffee market, offering a diverse range of products and customer experiences. By analysing data we aim to understand how companies these position themselves in the competitive coffee market and the unique value they bring to their customers.

AUTHOR: Riddhi Rathod

OBJECTIVE: Comparison of four coffee brand.

DATA COLLECTION:

 To gather relevant data, a survey was done in a class of finance on a scale of 10. Participants rated each coffee brand on a scale of 1 to 10, allowing us to capture their opinions and ratings related to 4 coffee brand. The collected data was then analysis to assess differences in ratings among the four brand, providing insights into their relative strengths and areas for customer preference.

DATA ANALYSIS:

             

 

 

 

 

 

 

 

Anova

: Single Factor

           
             

SUMMARY

           

Groups

Count

Sum

Average

Variance

   

STARBUCKS

20

134

6.7

1.905263

   

COSTCO

20

142

7.1

2.094737

   

THIRD WAVE

20

146

7.3

2.115789

   

BLUE TOKAI

20

144

7.2

1.326316

   
             
             

ANOVA

           

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

4.15

3

1.383333

0.743517

0.529432

2.724944

Within Groups

141.4

76

1.860526

     
             

Total

145.55

79

       

 

CONCLUSION:

 As the P-value of the hypothesis is 0.529432 is more than 0.05 we accept the null hypothesis meaning all are same. Based on the ANOVA results, there is sufficient evidence to conclude that there are significant differences in customer preference scores among the four coffeebrand.   There is no statistically significant difference between the average values of Starbucks, Costco, Third Wave Coffee, and Blue Tokai .The p-value (0.5294) is much higher than the typical threshold of 0.05, meaning the differences in their averages could very likely be due to random chance.

 

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