Dis 3 HGMT 400

Why is the correct identification of the measurement scale of the variables important in Quantitative Business Research?

Non-systematic observation is a method used in quantitative research. True False

What are some of the basic issues that should be addressed at a research request meeting? Outline the nine steps in questionnaire design. What are some of the most common errors in the wording of questions? Explain what the primary and secondary data terms mean.

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

Research Problem/Question/Hypothesis Research Problem/Question/Hypothesis Write a clear Purpose/Aim and Objectives of the Study. Clearly state the Significance of the Study. Discuss the above on the following topic: The factors effecting students adoption of Eco-friendly Fuel Alternatives. Write a clear Statement of the Problem.  Discuss the above on the following topic: The factors effecting students adoption of Eco-friendly Fuel Alternatives.

create a Data Collection for a research methodology this must include  Identify the instrument(s) used; Describe the instrument(s), e.g. number of items, types of items, sections, etc; Describe instrument development or adaptation; and Describe how validity of the instrument was obtained

Which best describes the null hypothesis associated with an Analysis of Variance (ANOVA)?   Group of answer choices a. Ho:  Variance 1 = Variance 2 = Variance 3 b. Ho:  Standard Deviation 1 = Standard Deviation 2 = Standard Deviation 3 c. Ho:  Proportion 1 = Proportion 2 = Proportion 3 d. Ho:  Median 1 = Median 2 = Median 3 e. Ho:  Mean 1 = Mean 2 = Mean 3

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

Business analytics concepts a)     Data used in business analytics need to be reliable and valid. Explain your opinion on the statement and provide practical examples to support your answer. b)    What are the similarities and differences between correlation analysis and regression analysis? c)    What types of measurements can be used to measure the central tendency of the data? Please compare the advantages and disadvantages between these measurements.

Explain the importance of ‘Research Methodology.’ Critically evaluate the distinctionsbetween ‘qualitative’ and ‘quantitative’ research with suitable examples. Outline the ‘advantages’ and ‘disadvantages’ of sampling as research

It is recommended to write the literature review within the introduction of the recent research. Select one: True False

1.The most critical criterion in selecting a sampling technique is    A.how well the sample represents the population being studied  B.the size of the sample  C.the sampling methodology used to select the sample  D.the sampling unit      2.When examining a research problem, prior research a company has conducted on a previous research question would be classified as    A.internal secondary data  B.internal primary data  C.external secondary data  D.external primary data    3. The first step in the marketing research process is to define the issue or problem. The second step is to    A.examine secondary data for relevant information  B.conduct a primary research study  C.decide if an outside research firm will be used or if the research will be conducted internally  D.analyze and interpret the data

Which business research approach analyzes continuous data when the data are non-normal?   Group of answer choices a. Binary Logistic Regression b. Non-parametric Tests c. ANOVA d. Regression e. Chi-square Contingency Tables

Why is the correct identification of the measurement scale of the variables important in Business Research?

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

List statistical tools that can be used for a quantitative research or a survey type and how to use them for data analysis.

If you're making recommendations for further research, be sure to undermine your own work. Select one: True False

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?

1.) Design a questionnaire for consumer preference survey regarding the problem. Please keep in mind all aspects of the product, company, data analysis, etc. while designing the questionnaire. 2.) Pursuant to collection of data through the consumer preference survey regarding the product, please explain each step in your data analysis plan. Each step of the data analysis plan must be linked to the questions you have designed for the survey in the previous question. 3.) How would you conduct the survey? What would be your mode of data collection and sampling technique? How would you define the population and sample? Justify your answer.

Exercise SA-5 (Algo) Least-Squares Regression (LO5-11 George Caloz & Frères, located in Grenchen, Switzerland, makes luxury custom watches in small lots. One of the company's products, a platinum diving watch, goes through an etching process. The company has recorded etching costs as follows over the last six weeks: Week 1 2 3 4 Units 14 11 16 10 12 15 78 Total Etching Cost $ 27 20 30 20 25 28 $150 For planning purposes, management would like to know the variable etching cost per unit and the total fixed etching cost per week. Exercise 5A-5 Part 2 (Algo) 2-a. Using the least-squares regression method, estimate the variable etching cost per unit and the total fixed etching cost per week. 2-b. Express these estimates in the form Y = a + bx.

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

In survey research, why do bad questions generate bad data??

Discuss the value of observation in a research project.

As part of case-study research based in a textile company with over 800 customers, you have been given access to an internal market research report. This was undertaken by the company’s marketing department. The report presents the results of a recent customer survey as percentages. The section in the report that describes how the data were collected and analyzed is reproduced below: “Data were collected from a sample of current customers selected from our customer database. The data were collected using an Internet-mediated questionnaire designed and administered via the google forms. Thirty-nine customers responded, resulting in an 18.7 per cent response rate. These data were analyzed using the SPSS computer software. Additional qualitative data based on in-depth interviews with customers were also included. Do you consider these data are likely to be reliable? Give reasons for your answer.

In reference to relevant questions, describe four measurement scales used in business research.

Outline how to conduct QUANTITATIVE Research Describe the Research Problem and Questions and the Review of Literature Explain the design and the sample selection

An advertising executive claims that there is a difference in the mean household income for credit cardholders of Visa Gold and of MasterCard Gold. A random survey of 15 Visa Gold cardholders resulted in a mean household income of $⁢68,420 with a standard deviation of $⁢9100. A random survey of 6 MasterCard Gold cardholders resulted in a mean household income of $⁢59,200 with a standard deviation of $⁢9200. Is there enough evidence to support the executive's claim? Let μ1 be the true mean household income for Visa Gold cardholders and μ2 be the true mean household income for MasterCard Gold cardholders. Use a significance level of α=0.05 for the test. Assume that the population variances are not equal and that the two populations are normally distributed. Step 1 of 4: State the null and alternative hypotheses for the test. Step 2 of 4: Compute the value of the t test statistic. Round your answer to three decimal places. Step 3 of 4: Determine the decision rule for rejecting the…