QSO_500_6_1_Discussion_Data_Analysis_and_Planning

Think of a broad problem area. Select a research paper related to the broad problem area. Define the problem statement on the basis of research paper by clearly highlighting the variables.( Business research method)

Null & Research Hypothesis Write both the null and research hypothesis for the variables below. Determine whether a nondirectional or directional hypothesis should be utilized when writing the research hypothesis. Hours of studying and academic achievement Suspension rates and criminal justice outcomes Hours of sleep and productivity Socioeconomic status and type of employment Effectiveness of incarceration and effectiveness of rehabilitation Substance exposure and asthma (speak on the relationship. i.e. does substance exposure have an effect on asthma?) Pharmaceutical medications and placebos Gender and juvenile delinquency Education level and income Class attendance and performance

Paraphrase this one. Analyze and elaborate in 85 words. Regression analysis data also helps you understand whether the relationship between two different variables can give way to potential business opportunities.

Please study the case scenario below and propose an approach to address the needs and find solutions. Your report should: Include four (4) research objectives Describe the research design. Use three (3) qualitative methods: Focus Groups, Depth Interviews and Netnography. For each give the following details: Participants numbers, gender, age, how selected; Justify each Interviews how many, the setting & process, length of time; Justify each questions/discussions held related to the 4 objectives Produce fictitious findings that relate back to the four (4) objectives. That is, match the findings to the objectives A cosmetic manufacturer wants to understand why users shop online versus in store, and how they might take better advantage of the online channel; the manufacturer wants to make improvements to the company’s website. The manufacturer also wants to find out why Nordstrom.com appeals to cosmetic consumers versus other websites. Additionally, the cosmetic manufacturer…

How is exploratory data analysis (EDA) different from hypothesis testing when it comes to data mining, and why do analysts use it?

There is no relationship between the quality of a model and the complexity of a model. Prove that your research model is worth researchable??

our team is currently on the process of creating a qualitative research proposal on the fake news vulnerability and fact-checking habits of the students at our high school. we plan to collect the data that we need through focus group discussions, where we will ask how our peers discern the truthfulness of a source and how they fact-check information. but we are confused with the following aspects:1. what is the most appropriate research design for our research? if it is a case study, then what type is it?2. and what thematic analysis method should we use for our methods? because our teacher said that Colaizzi's method of thematic analysis can only be applied to phenomenological studies, but ours is probably not that.

Please help with correct answers in details: step by step as last submission were given incorrect answers A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615

Which business research analysis assesses relationships between continuous data outputs and discrete data inputs?   1. Logistic Regression 2. Regression 3. ANOVA 4. Chi-Square Contingency Table 5. None of the above

Write a note on "importance of regression analysis in research"

when designing a research proposal, research questions are usually generated in a number of ways. Discuss the different sources of research questions.

Write your research problem and identify your major and sub-problems

Compare the quantitative and qualitative research in healthcare service. The answer may be in narrative or a table format. Provide the information on: When each approach is used? Can they be applied to the same researchable question? Explain why yes or no. What type of data is used for each research style? How the data is selected and processed in each research type? What challenges in data selection researches need to be aware of? How to overcome them?

Does the following scenario fall into the category of Basic or applied research? Justify your answer. Mr. Paul Hodge, the owner of several restaurants is concerned about the wide differences in the profit margins of the various restaurants. He would like to try some incentive plans for increasing the efficiency levels of those restaurants that are lagging behind. But, before he introduces this, he would like to be sure that the idea will work. He asks a researcher to help him on this issue.

Identify and discuss the advantages and disadvantages of using existing data for secondary data analysis. Provide at least one example for each. In your opinion, do you think the advantages outweigh the disadvantages? Why or why not?

What is role of sample decisions in business research? Explain. Discuss the major sample decisions. Explain & elaborate – with examples

1)What is the importance of data analysis? How can it help you understand whether the new product had a successful launch? What are you reporting on and what are you analyzing? Why is it important to analyze this information?  2)Describe the results of your analysis. What does the data tell you about the success of the product throughout the year? Was the company able to meet its profit goal? What data did you use to determine whether the product is meeting expectations?  3)Create data visualization in excel to show: How have the costs of goods sold (COGS) changed over the course of the year? and on a second data visualization, show How has the profit percentage changed over the course of the year?) Explain what type of chart this is and the insights it provides about the success of the product launch. 4)Restate the purpose of your analysis and summarize your most important findings.

Provide 3-4 examples of research topics that would be appropriate for evaluation research.

In the context of data mining, how does exploratory data analysis (EDA) differ from hypothesis testing, and why do analysts use EDA?

Please write the research proposal on Real estate.Only 500 words

When implementing action research, discuss specific steps that should be taken to ensure the validity and reliability of the data that is being collected. Provide specific examples to illustrate your ideas.

What is the easiest statistical technique that you can possibly employ in a simple quantitative research?

How do you explain a technique used to analyze the quantitative data for resolving either a personal or business problem, and how the analysis technique helped accomplish your objective of resolving a personal or business problem?

1)    Define CRM and SCM systems by describing their characteristics and components, explain each of the two main types of data analytics that exist – descriptive and predictive – including how each works. Critically evaluate how, and for which purposes, data analytics can be applied in conjunction with CRM and SCM systems. Refer to concepts learned in class and use examples to illustrate your arguments.

Explain in Details, using the literature below, and give a practical example about the following: Business research process. LITERATURE: The research process or methodology is the approach to the entire study — it is the master plan. It is the blueprint for achieving research objectives. Irrespective of the research being conducted, the business research  process comprises  the following: Problem definition Raise hypotheses, which are educated guesses to research questions. Select independent and dependent variables and operationalize them. Select relevant research design(s). Select appropriate sampling method(s). Select appropriate measurement scale(s). Select data collection method(s). Select appropriate methods of data analysis. Interpret and report findings. Implement research findings.

a. Step 1: Estimate the target population size using secondary sources. Provide a rationalefor how you determined each population size. Cite your sources.b. Step 2: Use the sample size calculator to determine an appropriate sample size for each scenario. Usethe market research standard for your confidence level. Use better than the marketresearch standard for your confidence interval. Adjust if your sample size is notrealistically attainable.c. Report your sample size statement. Your statement should read: "For this study, thetarget population size is estimated to be _____. The sample will be _____.At the ______ confidence level, this study will have a margin of error of +/- ____%."Scenario 1A study calls for your research firm to survey a sample of Disneyland employees.