Paper Title- Changing consumer behavior for mobile phones in rural India Author Name- Rohit Anand Affiliation- Student‚ Chandragupt Institute of Management Patna 1. Introduction Rural India is known for its vivid diversity. With 6‚ 38‚000 villages; India houses world’s largest rural population. India has 711.6 million rural population and 132.4 million rural households which comprise of 70% of total Indian population. The peculiar thing about this population is that their consumption pattern is
Premium Mobile phone
HMV 4 Structured Decision making 5 Semi-structured decision making 6 Unstructured decision making 6 Strategic radar plotting technique 8 Goal setting analysis and what if analysis 9 Forecasting and Trend Prediction 11 Data Analysis with SPSS 12 Descriptive statistics - Frequencies 12 Descriptive statistics - Descriptive 13 Descriptive statistics – Explore 14 Trend Prediction and Regression 16 References 18 Introduction The purpose of this assignment is to examine a case
Premium Management Sales Customer service
1. Why do you want to be a GHC fellow? (200 words maximum) Since I was young‚ I was always asking myself why people in African‚ mostly women and children‚ always suffer from malnutrition‚ gender inequality‚ poverty‚ injustice and many more problems which are against their rights. Because I was still young‚ I would not understand the reason why of those things were happening. Crimes were committed to human beings by other human beings. After a certain period of time‚ I came to understand that there
Premium African American Black people Race
Gender identity and gender role attitudes can have important influences on health behavior (Visser & Mcdonnell‚ 2012). The application of gender double-standards present a different set of principles and expectations to men and women which in return‚ will have effects on men’s and women’s engagement in health-related behaviors such as alcohol use. The purpose of this study is to apply a mixed-methods approach to explore how gender double-standards for alcohol use affect young people’s alcohol use
Premium Gender role Gender Masculinity
Fast Food Research Study KULTYY. SAID Introduction • Franklin Pierce College was founded in 1962 by Frank S. DiPietro • This research project was conducted from September to December of 2004 for the population of Franklin Pierce College. • The population of our survey was based on the 1‚591 Franklin Pierce College students on the Rindge campus. 2 Problem Statement Our research team came to the conclusion that there is a lack of fast food facilities in the Rindge area. We came
Premium Fast food Food United States
14: Correlation Introduction | Scatter Plot | The Correlational Coefficient | Hypothesis Test | Assumptions | An Additional Example Introduction Correlation quantifies the extent to which two quantitative variables‚ X and Y‚ “go together.” W hen high values of X are associated with high values of Y‚ a positive correlation exists. W hen high values of X are associated with low values of Y‚ a negative correlation exists. Illustrative data set. W e use the data set bicycle.sav to illustrate correlational
Premium Pearson product-moment correlation coefficient
A Hierarchical Linear Modeling Approach To Higher Education Research : The Influence Of Student And Institutional Characteristics This research paper is basically written with the central idea of showing how multi level modeling is a more appropriate way of dealing with data that is of hierarchical or structured nature. Generally the ordinary least square method is used to analyze such data but it gives out results that are misleading and incorrect. Multi level modeling ‚also known as hierarchical
Premium Model Linear regression University
Case Problem: Par‚ Inc. Section I: Summary Par‚ Inc.‚ a major manufacturer of golf equipment believes that a cut-resistant‚ longer lasting golf ball could increase their market share. In addition to the requirement that the ball be longer lasting‚ they wanted to ensure that the new coating would not reduce driving distances‚ and would be comparable to the current product. Section II: Relevant Statistical Results Statistic Current Model New Model Sample Mean 270.275 267.500 Standard Error 1
Premium Sample size Statistics Arithmetic mean
Methods : Firstly‚ all procedures were explained to the participants. Evaluation stage: Assessment of balance was performed by the TUG test. This test was determined to be a valid and reliable dynamic balance assessment tool in children with DS. This test measures in seconds the time required for an individual to stand up from a standard chair with armrest (height of approximately 46cm) walk 9 m‚ turn around‚ walk back to the chair and sit down again. The verbal command included instructions
Premium Obesity Exercise Physical exercise
Midvalley Megamall. Questionnaires were distributed and respondents are required to show their degree of agreement with the statements below whereby means very strongly disagree and means very strongly agrees: [pic] [pic] Figure 1.1: Input in SPSS 2. Is the data appropriate? a) The correlation matrix Base on the data above‚ the correlation matrix was run to examine if the factor analysis is appropriate. Variables opt to be inter-related in order to be suitable to conduct a factor
Premium Regression analysis Factor analysis