and processing of coffee and various forms of coffee beverage available worldwide. * To study the popularity and demand of various forms of coffee in Navi-Mumbai. * To know the awareness among the residents of Navi-Mumbai about the availability and the health benefits of coffee beverage. * To study the scope of coffee shops in Navi-Mumbai. * To popularize coffee as a healthy beverage in Navi-Mumbai. 1. Introduction 1.1 fig Coffee is a brewed beverage with
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Marketing Individual Assignment 3 1) What is the product mix of Trung Nguyen? What are the key attributes of its coffee? How do these attributes help Trung Nguyen to differentiate itself from its competitors? The product mix refers to the total composite of products offered by Trung Nguyen coffee. It consists of different product lines‚ various product items in each product line and within each item is the product depth. Firstly‚ the product line is a group of product or service items that
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I.History Trung nguyên is the most famous coffee brand in Vietnam. It was created in 1996 by Mr.Đặng Lê Nguyên Vũ. During student life in medical school of Tây Nguyên‚ Mr.Đặng had a question about coffee farmers’ life. Although the price of a cup of coffee wasn’t cheap‚ but why‚ farmers were still poor. This question encouraged him to find the answers. He and his company suffered from many accidents‚ but they kept on trying. Those experiences brought them a good background for opening more shops
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The story seems to begin in Ethiopia‚ where the coffee berry grew wild. Goatherds there noted that goats which ate leaves and berries of the plant remained awake all night. The Arabs claim that they developed the plant during the reign of Mohammed (c675 AD). Believe that if you wish - we are going with the Ethiopian story. Consumed originally as a food‚ it would take on the character of a medicinal and eventually that of a social drink. The coffee tree grows to a height of 14 to 20 feet‚ producing
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SPSS Data Analysis Examples Logit Regression Version info: Code for this page was tested in SPSS 20. Logistic regression‚ also called a logit model‚ is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a linear combination of the predictor variables. Please note: The purpose of this page is to show how to use various data analysis commands. It does not cover all aspects of the research process which researchers are expected to do. In particular
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country‚ one can realize that coffee is one of the most favorite products among American people. It has remained in the top positions for some decades. However‚ drinking coffee is not only the consumption of a product; it has become a daily activity. It is normal to hear this question when someone wants to meet up with one person: “do you want to get a coffee tomorrow and we can talk about...?” Any excuse is good enough to get a cup of coffee. The beginning of the coffee industry dates back to the 1960’s
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Coffee is the world’s second largest traded commodity it is used not only for drinking but for soft drinks and cosmetics as well‚ it is second only to oil according to all imports and exports from all countries. They are two main types Arabica coffee (most people are used to this and are more popular) and there is Robusta coffee. In the last two years the prices of coffee have been gradually falling (Ycharts. (2013). Coffee Arabica Price) alongside this‚ the supply of coffee has also been falling
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Interpretation: * MODEL SUMMARY Model Summary | Model | R | R Square | Adjusted R Square | Std. Error of the Estimate | 1 | .549a | .301 | .292 | .59246 | a. Predictors: (Constant)‚ MEAN_OC | The first table of interest is the Model Summary table. This table provides the R and R2 value. * The R value is 0.549‚ which represents the simple correlation. * It indicates a average degree of correlation. The R2 value indicates how much of the dependent variable‚ "Job Satisfaction"‚ can be
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DISCRIMINANT /GROUPS=R(1 2) /VARIABLES=Writtentest GD PI /ANALYSIS ALL /SAVE=CLASS /PRIORS EQUAL /STATISTICS=MEAN STDDEV RAW CORR TABLE CROSSVALID /CLASSIFY=NONMISSING POOLED. Discriminant Notes Output Created Comments Input Data C: \Users\Student\Desktop\experiment for disciminant analysis.sav DataSet1 30 User-defined missing values are treated as missing in the analysis phase. In the analysis phase‚ cases with no user- or system-missing values for any predictor variable are used. Cases with
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Your temporary usage period for IBM SPSS Statistics will expire in 12 days. GET FILE= ’C:\Users\admin\Desktop\MGSM816 - Market Research_Indivitual assign ament_42403693.sav ’. DATASET NAME DataSet1 WINDOW=FRONT. CODEBOOK Qnaire_no [n] A1 [s] A2 [s] A3 [s] A4 [s] A5 [s] A6 [s] A7 [s] A 8 [s] A9 [s] A10 [s] A11 [s] A12 [s] A13 [s] A14 [s] A15 [s] A16 [s] A17 [ s] A18 [s] A19 [s] A20 [s] A21 [s] A22 [s] B1 [s] B2 [s] B3 [s] B4 [s] B5 [s] B6 [s] B7 [s] B8 [s] B9 [s] B10 [s] B11 [s] B12 [s] C1 [s] C2
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