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STATISTICAL ANALYSIS
GROUP MEMBERS
ANUBHAV LAL-13007 PALAK AGRAWAL -13047 HETANSHI DESAI-13030 HIMANI CHOWHAN-13031 ISHA AGGARWAL-13033 SAYALEE DEORE-13061
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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
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.
QUESTIONNAIRE
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RESEARCHMETHODOLOGY
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
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STARBUCKS COFFEE VS
COSTA COFFEEHow 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
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OBSERVATIONS..
STARBUCKSVariables Mean Median Mode S.D Correlation
AnalysisAnova Kurtosi
sSkewness
Rate (both) 8.05 8 8 1.36Food 7.57 7 7 1.47 7.71
Drinks 7.85 8 8 1.64 7.71
Coffee 9 9 9 1.06 7.71Ambience 9.13 9 10 0.93 0.76
Quantity 7.95 8 8 1.33 0.24Value 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
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COSTA COFFEEVariables Mean Median Mode S.D Correlation
analysisANOVA 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
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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
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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 intervalINTERPRETATION:
The Median of MEMBERSHIP SCHEMES of Starbucks is high.
VARIABLE STARBUCKS COSTA COFFEE
MEMBERSHIP SCHEME 8 6
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1 2 3 4 5 6 7 8 9 100
10
20
30
40
50
60
70
less than ogivemore than ogive
OGIVE ON BRAND LOYALTY OF STARBUCKS
MEDIAN
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1 2 3 4 5 6 7 8 9 100
10
20
30
40
50
60
70
less than ogivemore than ogive
MEDIAN
OGIVE ON BRAND LOYALTY OF COSTA COFFEE
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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
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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
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2
SKEWNESS
• Measures of asymmetry of data – Positive or right skewed: Longer right tail– Negative or left skewed: Longer left tail
• Formula:-
3(Mean-Mode)
Std deviation
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Variable Starbucks Costa
Ambience -0.80 -0.67
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
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We can say that the majority of the rating of the people lie around the mean
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.
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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= 100x
VARIABLES STARBUCKS COSTAAvailability of Outlets 2.31
8.051.777.62X 100 = 28.70% X 100 = 23.23%
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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 :
1) Positive correlation
2) Negative correlation
Karl- Pearson’s Coefficient Of Correlation
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Co-efficient of Correlation(r) = ∑ x y
∑x² . ∑y²
VARIABLE STARBUCKS COSTAQuantity
VsValue for money
0.24 0.40
Interpretation:-They both show a negative correlation.
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Bar diagram showing the Customer Service and Brand Loyalty Relation
Starbucks Costa Coffee6
6.26.46.66.8
77.27.47.67.8
8
Customer serviceBrand loyalty
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.
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ANOVA CALCULATION
Variables\variety Costa Starbucks Food 7.38 7.52Drinks 8 7.85Coffee 8.41 9
S.S Between=1S.S Within (Costa)=0.53S.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=0.255% level of significance = f (1,4) = 7.71
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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.
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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.
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THANK YOU