Title- Skin care Products Survey Using ANOVA: Single Factor
Author- Siddhi Phofaliya
Introduction–
Skin care or skincare is a range of practices that support skin integrity, enhance its appearance, and relieve skin conditions. They can include nutrition, avoidance of excessive sun exposure, and appropriate use of emollients. Practices that enhance appearance include the use of cosmetics, botulinum, exfoliation, fillers, laser resurfacing, microdermabrasion, peels, retinol therapy, and ultrasonic skin treatment. Skin care is a routine daily procedure in many settings, such as skin that is either too dry or too moist, and prevention of dermatitis and prevention of skin injuries. Skin care is a part of the treatment of wound healing, radiation therapy and some medications. A statistical method, ANOVA: Single Factor, is used to determine if there is a significant difference in the ratings given to these skin care products.
Objective-To find out if there are significant differences in the preferences (ratings) of ITM students for skin care products.
Data Collection: Students of ITM Business School were surveyed. Each student rated four skin care products like Moisturizer, Sunscreen, Serum and Lip Balm on a scale of 1 to 10, were 1 indicates low preference and 10 indicates high preference. The ratings for each genre were recorded for analysis.
Data Analysis-
The ANOVA: Single Factor test was performed to compare the means of the ratings across the four Skin Care Products.
The hypotheses for the test are:
- Null Hypothesis (H0): There is no significant difference in the average ratings of Moisturizer, Sunscreen, Serum and Lip Balm.
- Alternate Hypothesis (H1) At least one of the Skin Care Products has a significantly different average rating.
The results of the ANOVA: Single Factor test are as follows:
|
SUMMARY |
||||||
|
Groups |
Count |
Sum |
Average |
Variance |
||
|
Moisturizer |
20 |
169 |
8.45 |
0.997 |
||
|
Sun Screen |
20 |
176 |
8.8 |
1.011 |
||
|
Serum |
20 |
157 |
7.85 |
1.713 |
||
|
Lip Balm |
20 |
153 |
7.65 |
2.976 |
||
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
16.9375 |
3 |
5.646 |
3.372 |
0.023 |
2.725 |
|
Within Groups |
127.25 |
76 |
1.674 |
|||
|
Total |
144.1875 |
79 |
|
|
|
|
Since the p-value (0.023) is Lower than the standard significance level of 0.05, we accept the Alternate hypothesis.
Conclusion: There is significant difference in the Skin Care Products ratings given by the ITM students.