CHAPTER ONE INTRODUCTION 1.1 Background to the Study The word marriage is a common feature practiced universally. That is to say all societies throughout the world practice marriage. Although marriage is universal‚ it is not easily defined as a result of various cultural practices involved in what constitute marriage. Every society look at it according to their culture‚ customs values and belief systems attached to the word. Igbo (2003pp.43)‚ has given us a working definition of marriage saying
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.233 | .885 | a. Predictors: (Constant)‚ Technological‚ centrality‚ Anthropocentric‚ Political‚ Competition‚ happiness‚ Economic‚ success | Table 1 Model Summary of personal values on environmental concern ANOVAb | Model | Sum of Squares | df | Mean Square | F | Sig. | 1 | Regression | 248.572 | 8 | 31.071 | 39.671 | .000a | | Residual | 793.402 | 1013 | .783 | | Total | 1041.973 | 1021 | a. Predictors: (Constant)‚ Technological‚ centrality‚ Anthropocentric‚ Political‚ Competition
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Volume 11 Issue 5 Version 1.0 April 2011 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Print ISSN: 0975-5853 Global Journal of Management and Business Research A Comparison Of Rural And Urban Buying Of Consumer Durables By Jagwinder Singh National Institute of Technology Jalandhar Punjab‚ India. Abstracts - India is one of the fastest growing markets of the world. The potential not only lies in the urban India but in the rural India also.
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also increases? * Compute the coefficient of correlation. * = [12(1344) – (13.8)(1160)]/12(16.26) – (13.8)2][12(114850) – (1160)2]=0.30722 * Determine the coefficient of determination * r2 = 256.4103/2716.667=0.09438 * df = 12 -2 = 10 * table b2 t = 1.812; Reject the H0 if t > 1.812 * t = r ((n – 2)1/2) / (1 – r2)1/2 = (0.307220(10))1/2/(1-0.094384)1/2 = 0.9715/0.951663 = 1.028 * Accept H0. There is no relationship between the size of the home
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E720 Notebook Assignment: Correlation Kandell 1 Amount of Sleep and GPA in Graduate Students at Ohio University Many graduate students may not be receiving enough sleep at night. With increased workloads and responsibilities many students are forced to sacrifice their sleep hours to keep up with the work. This means that students are forced to stay up later and get up earlier. It has been found that lack of sleep can reduce ones mental capabilities like a lack of focus. With graduate students
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4.1. Data Collection The study targeted 144 respondents based on convenience sampling technique. Table shows the demographic profile of the respondents. The age groups are somewhat spread‚ with the majority of respondents are from 18 to 30 age group. Characteristics Descriptor Distribution Percentage 1 Gender Male 96 66.7 Female 48 33.3 2 Education Graduation or Equivalent 52 36.1 Post Graduation or Equivalent 72 50.0 Professional such as CA 16 11.1 Others 4 2.8 3 Occupation Service 44
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Part Two: 1. The Kano model is a tool that can be used to prioritize the Critical to Quality characteristics‚ as defined by the Voice of the Customer The three categories identified by the Kano model are: Must Be: The quailty characteristic must be present or the customer will go elsewhere. Performance: The better we are at meeting these needs‚ the happier the customer is. Delighter: Those qualities that the customer was not expecting but received as a bonus The First Step for Creating
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Descriptive Statistics Ben Meissner QNT/561 9/1/2014 Bonnie Merritt Descriptive Statistics The microbrewery is trying to determine why profitability is inconsistent with sales. Over the past couple years the profits have decreased. The hypothesis is to determine if the mean net revenue for the first half of the year is less than or equal to the mean net revenue for the second half of the year. The variables used in the determination are sales (dependent variable) and cost of goods sold (COGS)
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Data Cube Computation Overview • Efficient Computation of Data Cubes – General Strategies for Cube Computation – Multiway Array Aggregation for Full Cube Computation – Computing Iceberg Cubes • BUC – High-dimensional OLAP: A Minimal Cubing Approach – Computing Cubes with Complex Conditions • Exploration and Discovery in Multidimensional Databases – Discovery-Driven • Summary General Strategies for Cube Computation • Sorting‚ hashing‚ and grouping operations are applied to the
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Table of Content No | Title | Page Number | 1.0 | Introduction | 1 | 2.0 | Literature Review: Marketing Mix | 2 | 3.0 | Literature Review: Customer Satisfaction | 4 | 4.0 | Research Objectives | 5 | 5.0 | Hypothesis | 5 | 6.0 | Data Analysis Report | 5 | 7.0 | Discussion and recommendation | 6 | 8.0 | Conclusion | 6 | 9.0 | References | 6 | 10.0 | Appendix | 7 | 1.0 Introduction This assignment is about the investigation of restaurant marketing mix & customer
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