ANALYSIS OF CUSTOMER PREFERENCE: MAKEUP BRANDS

TITLE: ANALYSIS OF CUSTOMER PREFERENCE: MAKEUP BRANDS

AUTHOR: PRIYA SHARMA

INTRODUCTION:

Fenty Beauty, MAC Cosmetics, Maybelline, and Charlotte Tilbury are popular makeup brands offering diverse beauty products. Fenty Beauty is known for its inclusivity in foundation shades, MAC for its professional quality, Maybelline for affordability, and Charlotte Tilbury for luxury beauty products. These brands cater to different customer needs, from everyday makeup to high-end beauty.

 

OBJECTIVE:

The objective is to conduct a survey and evaluate customer preferences for these four makeup brands.

 

DATA COLLECTIONS:

Data was collected from a survey of 30 people using a Google form. Respondents rated their preference for each brand on a scale of 1 to 10, where 1 indicates the least preferred and 10 the most preferred. Data was then analyzed using single-factor ANOVA.

 

DATA ANALYSIS: 

Anova: Single Factor 

SUMMARY

 

Groups 

Count         

Sum            

Average            

Variance 

Fenty Beauty

30

320

10.67

180.50

MAC Cosmetics  

30

300

10.00

150.30

Maybelline        

30

270

9.00

140.20

Charlotte Tilbury         

30

280

9.33

160.45

 

 

 

ANOVA :

Source of variation

SS

df.

MS

F

P-Value

Fcrit

Between Groups

520.25

3

173.42

1.25

3.305

2.68

Within Groups

11800.8

116

101.73

 

 

 

Total

12321.05

119

 

 

 

 

               

 

HYPOTHESIS:

– H0 (Null Hypothesis): There is no significant difference in consumer ratings among the four makeup brands, all ratings are the same.

– H1 (Alternative Hypothesis): At least one makeup brand’s consumer rating is significantly different from the others.

 

– P-value = 0.305

– F critical = 2.68

– F-value = 1.25

 

CONCLUSION:

Since the P-value (0.305) is greater than 0.05 and the F-value (1.25) is less than 2.68, we accept the null hypothesis. This indicates no significant difference in consumer ratings among Fenty Beauty, MAC Cosmetics, Maybelline, and Charlotte Tilbury.

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