Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
Presentation is made by the student of M.phil Jameel Ahmed Qureshi Faculty of Education Elsa Kazi campus Hyderabad UoS Jamshoron, This presentation is an assignment assign by the Dr. Mumtaz Khwaja
Lecture on Introduction to Descriptive Statistics - Part 1 and Part 2. These slides were presented during a lecture at the Colombo Institute of Research and Psychology.
Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
Presentation is made by the student of M.phil Jameel Ahmed Qureshi Faculty of Education Elsa Kazi campus Hyderabad UoS Jamshoron, This presentation is an assignment assign by the Dr. Mumtaz Khwaja
Lecture on Introduction to Descriptive Statistics - Part 1 and Part 2. These slides were presented during a lecture at the Colombo Institute of Research and Psychology.
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
This presentation includes an introduction to statistics, introduction to sampling methods, collection of data, classification and tabulation, frequency distribution, graphs and measures of central tendency.
Types of Statistics Descriptive and Inferential StatisticsDr. Amjad Ali Arain
Topic: Types of Statistics Descriptive and Inferential Statistics
Student Name: Bushra
Class: B.Ed. 2.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
This presentation is about Basic Statistics-related to types of Data-Qualitative and Quantitative, and its Examples in everyday life- By: Dr. Farhana Shaheen
This presentation includes an introduction to statistics, introduction to sampling methods, collection of data, classification and tabulation, frequency distribution, graphs and measures of central tendency.
Types of Statistics Descriptive and Inferential StatisticsDr. Amjad Ali Arain
Topic: Types of Statistics Descriptive and Inferential Statistics
Student Name: Bushra
Class: B.Ed. 2.5
Project Name: “Young Teachers' Professional Development (TPD)"
"Project Founder: Prof. Dr. Amjad Ali Arain
Faculty of Education, University of Sindh, Pakistan
Data analysis chapter 18 from the companion website for educational researchYamith José Fandiño Parra
This is a slide show of chapter 18 from Educational Research: Competencies for Analysis and Applications. Primarily intended for instructor use in the classroom, it is also available for students’ study use or to review as an advance organizer before class lectures or discussions.
Research analysis: getting more from your datacxpartners
Analysis is an under-appreciated part of the research process, but it's actually where the magic happens. Good analysis takes the data as a starting point, and goes beyond it to discover the insights that others will have missed. These slides go through a core method for analysing qualitative data, allowing you to slot in techniques and activities for specific research objectives as required
The internet is being developed rapidly since last two decades, and with relevant digital economy that is driven by information technology also being developed worldwide. After a long term development of internet, which rapidly increased web users and highly speed internet connection, and some new technology also have been developed and used for web developing, those lead to firms can promote and enhance images of product and services through web site. Therefore, detailed product information and improved service attracts more and more people changed their consumer behaviour from the traditional mode to more rely on the internet shopping. On the other hand, more companies have realized that the consumer behaviour transformation is unavoidable trend, and thus change their marketing strategy. As the recent researches have indicated that, the internet shopping particularly in business to consumer (B2C) has risen and online shopping become more popular to many people. According to the report, The Emerging Digital Economy II, published by the US Department of Commerce, in some companies, the weight of e-commerce in total sales is quite high. For instance, the Dell computer company have reached 18 million dollars sales through the internet during the first quarter of 1999. As a result, about 30% of its 5.5 billion dollars total sales were achieved through the internet (Moon, 2004). Therefore, to understand internet shopping and its impact on consumer behaviour could help companies making use of it as a form of doing e-business.
There are many reasons for such a rapid developing of internet shopping, which mainly due to the benefits that internet provides. First of all, the internet offers different kind of convenience to consumers. Obviously, consumers do not need go out looking for product information as the internet can help them to search from online sites, and it also helps evaluate between each sites to get the cheapest price for purchase. Furthermore, the internet can enhance consumer use product more efficiently and effectively than other channels to satisfy their needs. Through the different search engines, consumers save time to access to the consumption related information, and which information with mixture of images, sound, and very detailed text description to help consumer learning and choosing the most suitable product (Moon, 2004). However, internet shopping has potential risks for the customers, such as payment safety, and after service. Due to the internet technology developed, internet payment recently becomes prevalent way for purchasing goods from the internet. Internet payment increase consumptive efficiency, at the same time, as its virtual property reduced internet security. After service is another way to stop customer shopping online. It is not like traditional retail, customer has risk that some after service should face to face serve, and especially in some complicated goods.
Online shopping is getting popular in Vietnam. The most popular segment is fashion area. Q&Me Vietnam market research has conducted the survey among Vietnam online shoppers.
A measure of central tendency (also referred to as measures of centre or central location) is a summary measure that attempts to describe a whole set of data with a single value that represents the middle or centre of its distribution.
1. Data Analysis S. Hallum Jordye Bacon Elementary School 5 th Grade
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17. Interpreting Data Practice sites: http://www.bbc.co.uk/schools/ks2bitesize/maths/data/interpreting_data/play.shtml http://www.mercer.kyschools.us/mysites/jbest/?page_id=64 http://www.internet4classrooms.com/grade_level_help/skills_fifth_5th_math_data_analysis_and_probability.htm