Author: VISHWESH CHOUKSEY (021330024496)
Introduction: It’s a survey report present an analysis of the rating provided by student of four popular Liquor Brands in India.
- ROYAL STAG : One of the most popular whiskies in India, Royal Stag redefined the country’s spirits space on its launch in 1995. It pioneered blending Indian grain spirits and imported Scotch malts – the first whisky in India not to use any artificial flavourings and to offer an international quality blend.
- OLD MONK : Old Monk is a well-known and widely consumed rum in India. It is produced in Uttar Pradesh, the most populous region in northern India. Launched in 1954, it was for a long time the world’s leading rum (until 2013, to be precise, with 8 million bottles a year).
- KINGFISHER : Kingfisher is an Indian beer brewed by United Breweries Group, Bangalore, India. The brand was first introduced in 1857 and then relaunched in 1978 by Vijay Mallya. With a market share of over 36% in India, it is also available in 52 other countries as of 2013.
- ANTIQUITY BLUE : Antiquity Blue is blended with scotch from the same distillery, made using the identical process of grain distillation in copper pot stills that Stein invented. The whisky’s rich and inviting colour is inspired by the hue of antique gold.
Objective: To compare the rating of 4 different tourist places in India
Data Collection: The data was collected through the Google Form and the rating was given on scale of 1 to 5 of 4 different Liquor Brands in India by 30 students of my class. Then noted down into Excel where I arrange them then make an Anova single factor table from the data analysis tool.
Data Analysis: I have selected data which are putted in data analysis tool where I have found an ANOVA Single table.
|
ANOVA |
||||||
|
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
|
Between Groups |
0.9 |
3 |
0.3 |
0.149314 |
0.929945 |
2.682809 |
|
Within Groups |
233.0667 |
116 |
2.009195 |
|||
|
Total |
233.9667 |
119 |
|
|
|
|
In the given table P value is more than 0.05 which means it reject alternative hypothesis and accept the null hypothesis.
Conclusion: All values are same.