TITLE: “A comparison of four Chocolate brands: Cadbury, Milka, Lindt, and Hersheys using a one-way ANOVA (Analysis of Variance) single-factor method.”
Author: Vidhi Sharma
Introduction: This study compares four well-known chocolate brands: Cadbury, Milka, Lindt, and Hershey’s, using a one-way ANOVA method. To analyze taste test results to see if there are any significant differences in how people rate these chocolates. The results will help highlight the unique qualities of each brand.
Objective: “To compare the ratings of four chocolate brands.”
Data Collection: I gathered feedback from my friends about four chocolate brands : Cadbury, Milka, Lindt, and Hersheys and asked them to rate each brand on a scale from 1 to 5. To analyze the collected data, a one-way ANOVA (Analysis of Variance) was used to determine if there are differences among the four brands.
Data Analysis: The ANOVA: Single Factor test was performed to compare the ratings of four brands.
The hypotheses for the test are:
- Null Hypothesis (H0): All are same.
- Alternate Hypothesis (H1): Anyone of them is different.
The results of the ANOVA: Single Factor test are as follows:
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
4.69166667 |
3 |
1.56388889 |
0.97901301 |
0.40524946 |
2.68280941 |
|
Within Groups |
185.3 |
116 |
1.59741379 |
|||
|
Total |
189.991667 |
119 |
|
|
|
|
The above table shows P vale as 0.405 which is more than 0.05 which means NULL Hypothesis is accepted.
Conclusion: All are same.