Learning Outcomes AssessedThe following course learning outcomes are assessed by completing this assessment:• A3. Apply business information software for data visualization and analysis purposes;• S2. Review a range of information system applications;• S3. Interpret and construct representations of business data flow and processes;• K2. State the uses of emerging technologies within key industry contexts; and• K6. Explain the concepts of software development within key industries.Assessment DetailsThe Digital Revolution is not limited to the past – we should expect changes to continue for theforeseeable future. The aim of this assessment is for you to explore how IT might change a particularindustry in the future, based on current trends and upcoming technologies.For this assignment, you need to create a short video. There are many different tools available to helpdo this; Windows Movie Maker is available in the labs. It is also acceptable to perform a single-takevideo using a smart device or webcam.Your topic must be automatically generated, based on your student ID. Please use the TopicGenerator link in Moodle, and choose only one of the topics available.Topics are of the form:
Utilizing any available disclosed database for SPSS, develop a researchable set of hypotheses related to the database. Clearly define quantitatively analyzable hypotheses, analyze your data with SPSS, and write up the results in a full quantitative report format. Draw appropriate conclusions about your hypotheses in your writeup. This assignment does not need to be related to any earlier individual projects. This is a standalone assignment. Your paper should include: Title Page Abstract Brief introduction to the research problem or problems – State your research questions and hypotheses within this section but you do not have to develop a literature review. Methods – You will not generally have access to the methodology used to acquire the data you have chosen but should use your early SPSS programs to determine a variety of information about your subjects. Explain the details of the variables you have selected to examine. Indicate the statistical test or tests you used to make your inferences about your hypotheses. Results – Include key graphs from your SPSS output. Follow APA format when citing statistical results and presenting figures or tables. Discussion and Conclusion References Make sure you submit your SPSS output file in addition to the report in a Word document.
Purpose:This assignment aims at Understand various qualitative and quantitative research methodologies andtechniques, and other general purposes are:1. Explain how statistical techniques can solve business problems2. Identify and evaluate valid statistical techniques in a given scenario to solve business problems3. Explain and justify the results of a statistical analysis in the context of critical reasoning for a businessproblem solving4. Apply statistical knowledge to summarize data graphically and statistically, either manually or via acomputer package5. Justify and interpret statistical/analytical scenarios that best fits business solution
This assignment covers material from Sessions 1-4 and is worth 100 marks to berescaled to 15% of your total mark of MBS659. Your solutions should be properlypresented, and it is important that you double-check your spelling and grammar andthoroughly proofread your assignment before submitting. Instructions forassignment submission are presented in the “Assignment 1” link and mustbe strictly adhered to. No marks will be awarded to assignments that aresubmitted after the due date and time. All analyses must be carried out usingSPSS, and no marks will be awarded for assignment questions where SPSSoutput supporting your answer is not provided in your Microsoft Word filesubmitted for the Assignment.QuestionsIn this assignment, we will examine the “Banks” dataset. Before beginning theassignment, read through the descriptions of the variables in the data set. Eachvariable in the dataset is described in the ‘label’ field of the SPSS file.You will need to carefully inspect the SPSS data file to be sure that thespecification of type of variables in the questions is correct and, whereappropriate, values are entered.1. (50 marks)Use appropriate graphical displays and measures of centrality and dispersionto summarise the following five variables. For graphical displays for numeric data,be sure to comment on not only the shape of the distribution but also compliancewith a normal distribution. Be sure to include relevant SPSS output (graphs,tables) to support your answers.(a) LocationANDFacilities.(b) RegualrBankingServices(c) EmployabilityStatus.(d) Q6 representing availability of car parking.(e) Education
MBS659 Quantitative Research Methods for Business
Semester 2, 2019
Due: Sunday, 15/9/2019, 23:55
This assignment covers material from Sessions 1-4 and is worth 100 marks to be
rescaled to 15% of your total mark of MBS659. Your solutions should be properly
presented, and it is important that you double-check your spelling and grammar and
thoroughly proofread your assignment before submitting. Instructions for
assignment submission are presented in the “Assignment 1” link and must
be strictly adhered to. No marks will be awarded to assignments that are
submitted after the due date and time. All analyses must be carried out using
SPSS, and no marks will be awarded for assignment questions where SPSS
output supporting your answer is not provided in your Microsoft Word file
submitted for the Assignment.
In this assignment, we will examine the “Banks” dataset. Before beginning the
assignment, read through the descriptions of the variables in the data set. Each
variable in the dataset is described in the ‘label’ field of the SPSS file.
You will need to carefully inspect the SPSS data file to be sure that the
specification of type of variables in the questions is correct and, where
appropriate, values are entered.
1. (50 marks)
Use appropriate graphical displays and measures of centrality and dispersion
to summarise the following five variables. For graphical displays for numeric data,
be sure to comment on not only the shape of the distribution but also compliance
with a normal distribution. Be sure to include relevant SPSS output (graphs,
tables) to support your answers.
(d) Q6 representing availability of car parking.
(e) Education(10 marks)
2. Again consider the variable ‘LocationANDFacilities’, which records t h e total of
Location and Facility scale from the respondents’ perspectives. It is of interest…
A researcher investigated the effect of the volume of the background noise on participants accuracy rates while performing a boring task. He tested 3 groups of randomly selected students, and obtained the following means and sums of squares:
Automated electron backscattered diffraction is now being used in the study of fracture phenomena. The following information on misorientation angle (degrees) was extracted from the article “Observations on the Faceted Initiation Site in the Dwell-Fatigue Tested Ti-6242 Alloy: Crystallographic Orientation and Size Effects”
Use the following information to ensure successful completion of the assignment: Researchers wanted to explore self-esteem in adolescent boys and adolescent girls. Each respondent completed a 10-item self-esteem scale (they chose one rating for each item from a Likert-type scale, 1 = strongly disagree and 5 = strongly agree). The sum of the 10 ratings was each respondent’s self-esteem score. Their results were: t = 2.01, d = .90 (40 girls, 40 boys). Directions: In an essay (250-500 words), use the scenario presented above to thoroughly answer the following questions: What statistical test did the researchers use to determine if there was a statistically significant difference in levels of self-esteem between the boys and the girls? What was the purpose of calculating a Cohen’s d? When is a Cohen’s d calculated? Interpret d=.90. What does it mean in this example? What if the researcher compared the adolescent boys before treatment and again after treating them for depression? What type of t-test would be most appropriate in this case, and why?
A market research company conducted a telephone survey of 530 Melbourne households to determine the proportion of households seeking to purchase a new car in the next two years. An interval estimate of 0.071 to 0.135 was calculated. Determine the level of confidence (answer as percentage correct to two decimal places).
Suppose within your Web browser you click on a link to obtain a web page. The IP address for the associated URL is cached in your local host, so a DNS look-up is not necessary to obtain the IP address. Further suppose that the Web page associated with the link references 11 very small objects on the same server. Let RTT0 denote the RTTs between the local host and one of the objects. Assuming zero transmission time of the object, how much time elapses from when the client clinks on the link until the client receives the full web page with a. Nonpersistent HTTP; HTTP/1.0? b. Persistent HTTP?; HTTP/1.1 c. Pipelining; HTTP/2; 2. Describe in detail i) what information should be added in which DNS servers for your own start-up company (say ‘nwguru.com’) that has a webserver and email service to its employees. ii) What are companies you can contact for domain name registration and how much are the fees?
Problem 12-25 Refer to the Markowitz portfolio model, which maximizes expected return subject to a constraint that the variance of the portfolio must be less than or equal to some specified amount: Let: FS = proportion of portfolio invested in the foreign stock mutual fund IB = proportion of portfolio invested in the intermediate-term bond fund LG = proportion of portfolio invested in the large-cap growth fund LV = proportion of portfolio invested in the large-cap value fund SG = proportion of portfolio invested in the small-cap growth fund SV = proportion of portfolio invested in the small-cap value fund = the expected return of the portfolio Rs = the return of the portfolio in year s Max Use the model to solve a series of models by varying the maximum allowable variance from 20 to 60 in increments of 5 and solving for the maximum return for each (solve a total of nine models). Round your answers to 3 decimal places. If there is no optimal solution, enter “NA” as your answer. Max Variance Exp Return