Objective:
Title: Beverages Preferences Ratings
Introduction:
Beverages are essential to our daily routines, providing refreshment and enjoyment. This
report examines four popular options: coffee, tea, juice, and soft drinks. Each beverage offers
unique flavors and cultural significance, influencing consumer preferences. By analyzing
these drinks, we aim to uncover insights into current trends and consumer behavior in the
beverage industry.
Author: Nitish kumar (021330124049) ITM Skills University.
Objective:
To compare the four different types of beverage preferences.
Data collection:
Individual participants provided ratings for coffee, tea, juice, and soft drinks on a scale of 1 to
- Each rating was collected independently to reflect personal preferences, ensuring an
unbiased analysis of consumer tastes and trends across the beverages.
Data analysis:
The ratings were then compiled to analyze consumer preferences using ANOVA: single
factor, allowing for statistical evaluation of differences in beverage preferences.
The hypothesis for the test are:
Null Hypothesis (H0): It states that all beverage preferences are the same.
Alternative Hypothesis (H1): It indicate that at least one beverage is rated
significantly differently.
Anova: Single Factor
SUMMARY
Groups
Count
Sum Average Variance
How would you rate Coffee on a scale
of 1 to 10?
20
140
7 10.526
How would you rate Tea on a scale of
1 to 10?
20
118
5.9 10.937
How would you rate Juice on a scale of
1 to 10?
20
156
7.8
6.800Since the P-value is 0.045 is less than the significance level of 0.05, we accept the Alternative
Hypothesis.
Conclusion:
The ANOVA: single factor analysis yielded a P-value less than 0.05, leading to rejecting the
Null Hypothesis. This confirms that at least one beverage—coffee, tea, juice, or soft drinks—
has a significantly different preference level among respondents
