METHODOLOGY * The analysis is done by using different methods of research techniques such as: * Defining the target population * Develop a sampling framework * Develop measurable targets related to sample * Identifying the sampling method as required * Determining the sample size * Implementing the sampling
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December 2011 TABLE OF CONTENTS Contents LETTER OF TRANSMITAL 2 ACKNOWLEDGEMENT 3 EXECUTIVE SUMMARY 5 INTRODUCTION: 6 RESEARCH OBJECTIVES 7 RESEARCH HYPOTHESIS: 7 METHODOLOGY 8 SAMPLING 8 SAMPLING DESIGN 8 Sample Frame 8 Sampling Method 8 Sample Size 9 RESEARCH DESIGN 9 DATA ANALYSIS 12 APPENDIX 1 QUESTIONNAIRE 14 APPENDIX 2 FACTS & FIGURES 18 RECOMMENDATIONS Error! Bookmark not defined. CONCLUSION
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Topic: Estimates and Sample Size (February 11 - 17, 2013) Read Chapter 7 in Triola In the Course Content section of the course, read and complete Course Module 3 including the Drills at the end of the Module Login to MyStatLab and complete homework assignment for week 5 Login to MyStatLab and complete Quiz 2 (Chapters 4, 5, and 6) Answer Discussion Question(s) for week 5 Discussion Question: Why do you think knowing how to develop estimates and calculating sample sizes are important?
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case of the Wal-Mart employees and the lawsuit against the organization for discrimination, determining the appropriate sampling size is somewhat tricky. There is no specific or definitive size that should be sampled in different situations. The sample size that is needed mainly based on what research has to be done and what answers and data is being looked for. Solely, sampling size is determined by what the organization hopes to achieve with the study, and the resources that are available. The
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boundary between the acceptance & rejection regions. Eg. For a 2 tailed hypothesis test being tested at α = 5% the critical values are ± 1.96. 27. TYPE I ERROR (OR) LEVEL OF SIGNIFICANCE (OR) PRODUCER’S RISK (α): A value indicating the % of sample values that are outside certain limits, assuming that the null hypothesis is true. It is the probability of rejecting the null hypothesis when it is true. Eg: α=5% indicates that 5 times out of 100 the null hypothesis gets rejected when it is true
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conducted where each member of a population has an equal opportunity to become part of the sample. As all the participants have an equal chance of becoming a research participant, this is to be the most efficient sampling procedure. In order to conduct this sampling strategy, the researcher defines the population first, lists down all the members of the population, and then selects members to make the sample. For this purpose, a self-administered survey questionnaire is given to the respondents to
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I believe I could use the internet on the Apple Inc., site which customers visit on a daily basis and have a survey on the electric car that the company plans to design and that why I could get positive or negative feedback on Apples plan for an electric car. I could also do random surveys with different age groups to see how popular this would be amongst different age ranges at malls or popular hangouts. Then finally I could do telephone surveys with the various range groups ranging from 18- 65
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THE PROCUREMENT PERFORMANCE OF UGANDA NATIONAL ROADS AUTHORITY (UNRA) BY SUSAN NABADDA ABSTRACT The purpose of the study was to examine procurement performance at UNRA. The study adopted a cross sectional and quantitative survey design and the sample size of 122 was drawn for the study and the respondent were selected using the simple random and purposive sampling techniques. A self- administered questionnaire was used to collect the required data which was later analyzed using the SPSS software
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Looking at the sample size and population, the researchers used a large sampling size from males in nursing. To obtain the responses needed, researchers used surveys to get an understanding of when, where, and type of discrimination those males were exposed to. With the study setting, it focused on males who were in nursing school along with males who are currently working as nurses in the medical field. Regarding the sampling method, the researchers used a non-probable sampling, this is due to the
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Chapter 9 A SURVEY OF SYNOPSIS CONSTRUCTION IN DATA STREAMS Abstract The large volume of data streams poses unique space and time constraints on the computation process. Many query processing, database operations, and mining algorithms require efficient execution which can be difficult to achieve with a fast data stream. In many cases, it may be acceptable to generate approximate solutions for such problems. In recent years a number of synopsis structures have been developed, which can
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