statistical analysis on Star vs costa coffee

1. vs STATISTICAL ANALYSIS

2. GROUP MEMBERS ANUBHAV LAL-13007 PALAK AGRAWAL -13047 HETANSHI DESAI-13030 HIMANI CHOWHAN-13031 ISHA AGGARWAL-13033 SAYALEE DEORE-13061 vs.

3. STARBUCKS COFFEE Three friends, Jerry Baldwin, Zev Siegl, and Gordon Bowker, who all had a passion for fresh coffee, opened a small shop and began selling fresh roasted, gourmet coffee beans and brewing and roasting accessories. The company did well, but things began to change in the 80s. Leading retailer, roaster and brand of specialty coffee in the world Sells drip brewed coffee, espresso-based hot drinks, snacks, mugs and coffee beans Company started in 1971 in Seattle in Washington, U.S.A

4. COSTA COFFEE Bruno & Sergio Costa set up their famous coffee roastery in Lambeth, London in 1971, supplying local caterers and Italian coffee shops with an exciting coffee, slow-roasted the Italian way. People couldn’t get enough of it and by 1978 the first Costa espresso bar opened in Vauxhall Bridge Road in London. To this day we still use the same method of slow-roasting our coffee beans, serving the brothers’ authentic blend of 6 Arabica beans to 1 Robusta in 500 coffee shops all over the world.

5. QUESTIONNAIRE vs.

6. RESEARCH METHODOLOGY Data collection Preparing a questionnaire of two different coffee shops using different variables Where people had to rate it on the scale of 1 to 10 Data was collected from the people who had visited both Starbucks and Costa Coffee house The sample size taken into consideration was 60 The mean was calculated and was further considered for the rest of calculations vs.

7. STARBUCKS COFFEE VS COSTA COFFEE How would you Rate the following on the scale of 1 to 10? SR NO. VARIABLES STARBUCKS COSTA 1 Rate (both) 2 Food 3 Drinks 4 Coffee 5 Ambience 6 Quantity 7 Value for Money 8 Brand Loyalty 9 Customer Service 10 Membership Schemes 11 Availability of Outlets vs.

8. OBSERVATIONS..

9. STARBUCKS Variables Mean Median Mode S.D Correlation Analysis Anova Kurtosis Skewness Rate (both) 8.05 8 8 1.36 Food 7.57 7 7 1.47 7.71 Drinks 7.85 8 8 1.64 7.71 Coffee 9 9 9 1.06 7.71 Ambience 9.13 9 10 0.93 0.76 Quantity 7.95 8 8 1.33 0.24 Value for Money 7.27 8 8 1.54 0.24 Brand Loyalty 7.87 8 8 1.83 Customer Service 7.45 8 8 1.13 Membership Schemes 5.93 8 8 2.09 Availability of Outlets 5.95 6 6 2.31 - 0.37 vs.

10. COSTA COFFEE Variables Mean Median Mode S.D Correlation analysis ANOVA Kurtosis Skewness Rate (both) 7.62 7 7 1.39 Food 7.38 7 6 1.51 7.71 Drinks 7.98 7 7 1.34 7.71 Coffee 8.41 8 8 1.38 7.71 Ambience 8.36 8 8 1.53 3.11 Quantity 8.02 7 7 1.20 0.40 Value for Money 6.73 7 7 1.70 0.40 Brand Loyalty 6.63 7 7 1.51 Customer Service 7.22 7 7 1.66 Membership Schemes 5.83 6 7 2.46 Availability of Outlets 6.92 7 8 1.77 -2.59 vs.

11. MEAN MEAN: The most popular and widely used measure of representing the entire data by one value is called as Arithmetic Mean.   INTERPRETATION:   The mean rating of Starbucks is high. VARIABLE STARBUCKS COSTA RATING 8.05 7.62 vs.

12. MEDIAN It is a measure of central tendency which appears in the middle of order sequence of values i.e. half of the observation in the set of the data are lower and half are greater than it .Hence median is called as ‘Positional Average’ .It is calculated as   N/2 - Locate the median Class = Median Position  Median = L+ [{(N/2 – P.C.F)/F}× i ] Where, L=Lower limit of the class interval of median class P.C.F=Preceding Cumulative Frequency F=Frequency of median class i =class interval INTERPRETATION: The Median of MEMBERSHIP SCHEMES of Starbucks is high. VARIABLE STARBUCKS COSTA COFFEE MEMBERSHIP SCHEME 8 6 vs.

13. OGIVE ON BRAND LOYALTY OF STARBUCKS MEDIAN vs.

14. MEDIAN OGIVE ON BRAND LOYALTY OF COSTA COFFEE vs.

15. MODE Mode is defined as the value which occurs maximum number of time i.e. which has maximum frequency .   Results: This shows the mode of ambience of starbucks cafe is more. variables starbucks Costa coffee Ambience 10 8 vs.

16. STANDARD DEVIATION It is a measure of how much spread or variability is present in the sample. If all the number in the sample are very close to each other in such cases SD is zero (0) and if the numbers are well dispersed than SD tends to be large. It is calculated as:   Standard Deviation (б) = ∑( x-x ) n-1   Results: The Standard deviation of Starbucks is higher which means that the availability of outlets is less. VARIABLES STARBUCKS COSTA Availability of Outlets 2.31 1.77 vs. 2

17. SKEWNESS Measures of asymmetry of data Positive or right skewed: Longer right tail Negative or left skewed: Longer left tail Formula:- 3(Mean-Mode) S td deviation vs. Variable Starbucks Costa Ambience -0.80 -0.67

18. KURTOSIS In  statistics, kurtosis is any measure of the "peakedness" of the  probability distribution of a real-valued random variable. variable starbucks costa Ambience 1.05 1.55 vs. We can say that the majority of the rating of the people lie around the mean

19. Kurtosis Kurtosis relates to the relative flatness or peakedness of a distribution. A standard normal distribution (blue line: µ = 0;  = 1) has kurtosis = 0. A distribution like that illustrated with the red curve has kurtosis > 0 with a lower peak relative to its tails. vs.

20. COEFFICIENT OF VARIATION Coefficient of Variation : The standard deviation of data divided by it’s mean. It is usually expressed in percent. Coefficient of Variation= VARIABLES STARBUCKS COSTA Availability of Outlets 2.31 8.05 1.77 7.62 X 100 = 28.70% X 100 = 23.23% vs.

21. Correlation is a statistical tool with the help of which the relationship between two or more variables is studied. The measure of correlation is called as co-efficient of correlation and denoted by ‘r’ . Types of correlation : Positive correlation Negative correlation Karl- Pearson’s Coefficient Of Correlation vs.

22. Co-efficient of Correlation (r) = ∑ x y ∑x² . ∑y² VARIABLE STARBUCKS COSTA Quantity Vs Value for money 0.24 0.40 Interpretation:- They both show a negative correlation. vs.

23. Bar diagram showing the Customer Service and Brand Loyalty Relation Interpretation:- Though the customer service of Starbucks is less they have more customers who are brand loyal whereas its inverse in the case of Costa coffee. vs.

24. ANOVA CALCULATION Variables\variety Costa Starbucks Food 7.38 7.52 Drinks 8 7.85 Coffee 8.41 9 S.S Between=1 S.S Within (Costa)=0.53 S.S Within (Starbucks)=1.06 Between 1 (2-1)=1 1/1=1 Within 1.59 (6-2)=4 1.59/4=0.4 F Ratio =1/0.4=0.25 5% level of significance = f (1,4) = 7.71 vs.

25. INTERPRETATION : At 5% level of significance v1=1 and v2=1.59.Our F value is 7.71 and the calculated F ratio is 0.25 which is smaller than the table value. Hence we accept the null hypothesis and conclude that there is no significant change in the variety of food, drinks and coffee of Costa and Starbucks. vs.

26. CONCLUSION The conclusion so drawn from the data was that both the places rated good on different variables and some did not. So it could be concluded that depending on customers priority for a particular variable the person could visit the coffee house which was good for that particular variable. vs.

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