Quantitative Analysis assessment for Agricultural E commerce

 
Research Paper Guide
This paper will be based on Agricultural products companies that have adopted ecommerce based systems for selling their products online and how that has helped their business to increase their sales and expose them to both national and global markets. The issue would be if these companies did not rely on ecommerce that they would not be competitive in today’s markets and would pay more costs in advertising their items. This paper needs to have an in depth analysis using a Quantitative analysis model such as regression models and forecast of sales and historical data showing the level of sales over time. There must be charts and graphs along with tables that show how the calculations were performed.

In this course, you will examine a problem or issue through the lens of Quantitative Analysis. This means that you must choose a project that is very specific, focused, and one on which you have a grasp of the inputs, process, and outputs. It would be beneficial if you could work with a specific issue in your workplace, as it moves the theory to practice, and you can improve your work life by applying the lessons from this course.
You will work on the project throughout this course, help one another by discussing your ideas in the Discussion Board, and hone your skill sets through collegial debate. Your paper will be approximately 10-20 pages in length, formatted in current APA format, include tables and/or figures, and have the following headings:
• Introduction: A brief section that describes the symptom that you noticed, and provides readers with an understanding of the process.
• Description of Problem: Developed through the Module 2 discussion forum.
• Methodology: Developed through the Module 5 discussion forum.
• Data collection: Developed through the Module 6 discussion forum.
• Data Analysis: Developed through the Module 7 discussion forum.
• Recommendations: Your interpretation of the analysis; provides readers with your ideas of your next logical steps. This could be a formal presentation to your boss, or perhaps a team meeting to highlight the issue, or so forth.

This paper should be much like the case studies at the end of the textbook chapters. The introduction is the part of the case that is printed in the textbook. The remainder of the paper contains the details of how you collected the data and did the analysis. It will then end with the findings and recommendation. As a resource, a template containing preformatted headings is provided for download. Using this template will take some of the work out of doing a paper. You can add subheadings as necessary. In Chapter I, if you do not use any of the several subheadings there, just delete that section.
I will need to have the data sources and methodology used for my class modules. I am currently in module 4.

Their is a free software program that can be used to generate the data for the graphs from www.pearsonglobaleditions.com/render called QM for Windows and an excel QM version . The text book I am using is Quantitative Analysis for Management 12 th edition by Barry Render.

WEEK 4

 

Qualitative Procedures

.
Read the qualitative procedure plan. Use the checklist in the table below to provide feedback on this article.

Are the following topics addressed?

• Are the basic characteristics of qualitative studies mentioned?
• Is the specific type of qualitative strategy of inquiry to be used in the study mentioned? Is the history of, a definition of, and applications for the strategy mentioned?
• Does the reader gain an understanding of the researcher’s role in the study (past historical, social, and cultural experiences, personal connections to sites and people, steps in gaining entry, and sensitive ethical issues)?
• Is the purposeful sampling strategy for sites and individuals identified?
• Are the specific forms of data collection mentioned and a rationale given for their use?
• Are the procedures for recording information during the data collection procedure mentioned (such as protocols)?
• Are the data analysis steps identified?
• Is there evidence that the researcher has organized the data for analysis?
• Has the researcher reviewed the data generally to obtain a sense of the information?
• Has coding been used with the data?
• Have the codes been developed to form a description or to identify themes?
• Are the themes interrelated to show a higher level of analysis and abstraction?
• Are the ways that the data will be represented mentioned (such as tables, graphs, and figures)?
• Have the bases for interpreting the analysis been specified (personal experiences, the literature, questions, action agenda)?
• Has the researcher mentioned the outcome of the study (developed a theory, provided a complex picture of themes)?
• Have multiple strategies been cited for validating the findings?

Research topic
Central phenomenon

The strategy of inquiry:
Which strategy?
Why is it appropriate?
Data collection:
Who were the participants?

How were participants selected?

Data Retrieval and Analysis—- Survey of Consumer Finances

 
Purpose
The purpose of this assignment is to provide you with an opportunity to do several things:
• Search for and retrieve economic data
• Use economic theory to construct an hypothesis
• Specify an econometric model to test your hypothesis
• Test regression model for CLR violations
Instructions
1. Use the attached table to identify the data set you have been assigned
2. Use economic theory to form an hypothesis regarding the relationship between
two variables found in your dataset
3. Specify and estimate a regression that will allows you to test your hypothesis
using observations from your dataset. Explain choice of dependent and RHS
variables. Define all variables.
4. Carry out diagnostic tests on your estimated equation based on potential CLR
violations
5. Test your hypothesis
6. Report results of estimation and tests. Results should include estimated
regression, any diagnostics tests, hypothesis tests and descriptive statistics of
regression variables.

Experimental Design and Describing Data

 
TEXTBOOK
Biostatistics
for the Biological
and Health Sciences
Read chapters 1 and 2.
TOPIC 1. Why is the standard deviation usually more useful and easier to understand than the variance?
TOPIC 2. You are designing an experiment to study the effect of temperature on the growth of bacteria in Petri dishes. Your heat source is a lamp that is affixed at one end of the lab bench. What experimental design will you use and why? What other variables do you need to consider?

Census of Population (data analysis)

 
Instructions
1.Use the attached table to identify the data set you have been assigned

2.Use economic theory to form an hypothesis regarding the relationship between two variables found in your data set

3.Specify and estimate a regression that will allows you to test your hypothesis
using observations from your data set. Explain choice of dependent and RHS variables. Define all variables.

4.Carry out diagnostic tests on your estimated equation based on potential CLR
violations

5.Test your hypothesis

6.Report results of estimation and tests
. Results should include estimated regression, any diagnostics tests, hypothesis tests and descriptive statistics of regression variables.

qualitative Interviews & insights

 
INSTRUCTIONS – what you will do
• Identify the behavior, process, consumer experience, or question you want to address. Be
specific. For example, if you have never colored your hair, you might examine hair coloring. Or if
you’ve never shaved you may want to analyze behaviors around shaving facial hair.
• Determine your target and identify interviewees. Again, be specific and precise so you have a
homogenous group. For example, you may choose to interview people who regularly dye their hair,
or men who shave daily.
• Write a series of screening questions to qualify your participants, based on the first two steps.
• Write your interview/discussion guide.
• Conduct 5 individual, in-person interviews.
• Analyze your data.
• Write your final report.
CONTENT – What your report must include (18 points)
1. Study Objectives (what did you want to learn about, and why?)
2. Method –how you selected participants, how you gathered information
3. Findings –what you learned, based on the answers provided in the interviews. This is where you
summarize the data and offer your INSIGHTS
4. Summary and conclusions, including suggestions for further research
5. Attach your screening questions and interview guide
FORMAT – What your report must look like (2 points)
• Use Times Roman or equivalent 12-point font, 1” margins, double-spaced
• Be sure to include your name, PID, course name, section number, and date.
• Your report should be 4 – 5 pages, not including attachments, stapled.
• Correct grammar, spelling, and punctuation are required and points will be deducted for errors.
EVALUATION – How your report will be graded
Assignments will be graded based on adherence to all requirements, thoroughness of answers,
accuracy, and creativity.

Qulititative Analysis

This assignment assesses your ability to complete and present qualitative analysis of data by
applying the acquired knowledge to a real data set. It will test your analytical skills in qualitative
(interpretivist) context and your ability to present complex findings in a clear and effective manner.
Use the documentary data and theory provided via Moodle (available from 23 October 2015). If you
want to use data for a topic of your own, you have to get explicit approval from the lecturer, at least
10 days before the deadline for this assignment, as the data need to meet certain requirements. You
will not get approval if you can’t show the exact complete data set you are intending to use.
The essay has to have the form of a brief research report, with sections
 Introduction. Very brief background based on the provided theory document. Define a
research topic, problem, purpose and question(s) that adequately guide the analysis you are
asked to do.
 Research design. As in any research report, (briefly) describe the design including data
(collection) and analysis (coding process).
 Results. Describe and present codes and derived themes (results). An important aspect of
this is the way you present data and results; make sure this is clear and effective. Use one or
more of the visual representation approaches discussed during workshops, choosing the
ones that are best suited to convey the essential elements. Any visual representation
should be supported (not described or repeated!) by the text.
 Discussion. This is where the results are interpreted. Use the provided theory document as
a theoretical lens to interpret themes in relation to conceptual ideas.
 Conclusions. This is where you answer the research question. Has to be brief and to the
point. May include recommendations.
 References. List according to Harvard system.
 Annex. You may use annexes to include e.g. colour coded data or other material that is too
detailed and bulky to include in the main report.
The References and Annexes are not included in the word count. Content in tables is not included in
word count.

Statistics & data analysis

 
Discussion Question: Throughout the book we see the terms ‘Parametric’ and ‘Non-Parametric.’ What’s the difference? How do these terms relate to Pearson and Spearman Correlation Coefficients. Briefly describe a situation in which you would analyze data using either a Pearson or Spearman Correlation.
Please write a 300 word response to the following discussion question. I expect your response to reflect critical thought based on information from the textbook and from one additional source. Whenever possible, try to relate the discussion question to your own experiences. Be sure to appropriately cite and list your references.

Please, just answer the questions above.

Data Collection Project

 

Please test two hypothesis based on the following variables.The following variables were used: Depression, Self-Esteem, Loneliness, Social Anxiety, Stress, Generalized Anxiety, # of Social Networking Sites used, # of hours spent on social networking sites, # of Facebook friends, # of real friends, # of text messages per week, GPA, Credits, and # of hours sleep per night.

For this paper, I would like a one-page summary of a research article dealing with each of your TWO hypotheses (i.e. two separate one page summaries). You should find a scholarly article that in some way captures what your hypothesis is about. After this one-page summary, I would like you to calculate the correlation coefficient for the hypothesis in Microsoft Excel, to provide a scatterplot, and to write a one paragraph conclusion detailing whether our results support or contradict previous research (i.e. the article you summarized). If your correlation does not support previous research, provide an explanation why you think that there is a difference. With the graphs, the total paper should come out to approximately 4 pages in length (2 pages

Qualitative Data Analysis

 
Research Topic: Building a Sustainable Society (*******My Case company is” Solar City” )
You are part of a global consultancy group who are investigating the topic of a sustainable Australia.
Towards this endeavour, your team is proposing a series of sustainable solutions, particularly in built
up areas of New South Wales and Victoria, followed by Queensland and other parts of Australia. You
will assess research data collected from Australia and other countries attempting similar projects.
For this research project, you have interviewed a group of researchers on various relevant topics,
including sustainable living, energy, transport, lifestyle etc. and gathered evidence from industry
reports and case studies. You may consult practitioner and government reports to add to existing
data collected (in the seminars). You are to prepare an individual report that consolidates your
analysis, findings and discussion on developing a sustainable society.
Aims of the Report
The report would outline your research into the latest trends and developments regarding
sustainable themes, and analyses of qualitative data from various relevant sources. The report needs
to be constructed professionally, demonstrate appropriate analytical strategies, and include data
representations (i.e. tables, graphs and models) and their interpretations.
1. Consolidate the large dataset into an analytical software
2. Perform appropriate qualitative analysis on your data
3. Consolidate your key themes and findings from your empirical investigation
4. Discuss your findings, state the contributions and implications on practice

*********The data collection method you should use Nvivo, you can download for free and it can organizing your source and Article, you can take a screenshot of Nvivo‘s result and put it in the report.