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Contents Objectives............................................................................................................................. XXXXXXXXXX2 Background...

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Contents Objectives............................................................................................................................. XXXXXXXXXX2 Background .......................................................................................................................... XXXXXXXXXX2 Presentation of a business report...................................................................................... XXXXXXXXXX3 Tasks...................................................................................................................................... XXXXXXXXXX3 1. Select a Random Sample ........................................................................................ XXXXXXXXXX3 2. Descriptive Statistics............................................................................................... XXXXXXXXXX3 3. Confidence intervals ............................................................................................... XXXXXXXXXX4 4. Hypothesis Testing.................................................................................................. XXXXXXXXXX4 5. Correlation and Regression.................................................................................... XXXXXXXXXX5 Assignment structure: ......................................................................................................... XXXXXXXXXX5 Presentation ..................................................................................................................... XXXXXXXXXX5 Executive summary ........................................................................................................ XXXXXXXXXX5 Introduction..................................................................................................................... XXXXXXXXXX5 Analysis............................................................................................................................. XXXXXXXXXX6 Conclusion and limitations............................................................................................ XXXXXXXXXX6 Reference list ................................................................................................................... XXXXXXXXXX7 Appendices ...................................................................................................................... XXXXXXXXXX7 Marks and submission instructions................................................................................... XXXXXXXXXX7 FIN60003 Assignment Page 2 Objectives In this assignment you are expected to develop a business report that will be presented to a senior manager of a human capital management company. The report should be informative but concise and follows a specific structure that allows the document to be easily read and understood. For this purpose, please ensure that you have studied supplementary material about the academic report writing, available on e-tivity 5.4 before you start your assignment. This assignment is worth 20% of your final mark. This assignment provides students with opportunity to:  combine statistical analysis and report writing skills to prepare a concise, non-technical business report,  draw a random sample to complete statistical analysis,  develop and enhance computing skills, specifically the use of the built-in functions in MS Excel and MS Word,  apply statistical techniques to a data set, and  reinforce taught concepts including descriptive statistics, sampling and estimation, hypothesis testing, correlation and regression. Background Margaret is the CEO of a Human Capital Management company in Melbourne. She has recently attended a TED Talk in which Michael Green discussed the importance of the 2030 United Nation Sustainable Development Goals. Michael presented challenges that countries around the world would face to meet the UN Sustainable Development Goals and elaborated on the importance of the Social Progress Index in that process (please watch two videos posted on etivity 7.5, What are the UN Sustainable Development Goals? and How we can make the world a better place by 2030?). After the seminar, Margaret decided to further study the importance of the Social Progress Index and compare countries based on their performance at each sub category of this index. For that purpose, Margaret asked Jason, a newly appointed research officer, to perform the analysis. Margaret downloaded 2017 Social Progress Index data set (available on e-tivitiy 7.5), passed it to Jason and asked him to run several analyses listed below. There are 50 variables under 12 categories for 182 countries in this data set. For the purpose of analysis, Margaret asked Jason to concentrate on categories with even numbers (which are highlighted in yellow in the dataset). They are: Category 2: Water and Sanitation Category 4: Personal Safety Category 6: Access to Information and Communications Category 8: Environmental Quality Category 10: Personal Freedom and Choice Category 12: Access to Advanced Education FIN60003 Assignment Page 3 Presentation of a business report You are going to help Jason in developing a report that addresses Margaret’s concerns. Since Margaret is not very familiar with statistical terms, try to not just quote statistics or analysis results, but explain what they mean. In general, do not include formulae, calculations, definitions of statistical terms or discussions on how graphs are constructed in the report. Where appropriate, these may be included in the appendices. Follow the Harvard Style Guide (available on e-tivity 5.4) for all in text references, reference lists and bibliographies. It is important that the values that have been calculated are correctly analysed, discussed and interpreted. The written description of the main features of the tables and graphs should be presented. The emphasis will be on the computation of statistics and construction of graphs, as well as on interpretation of analysis. The assessment should be in one single Microsoft Word compatible document and should be written in 12 point font. It is expected that all work submitted, will have been edited for spelling, grammar and clarity. Tasks Most of your statistical calculations should be carried out using Excel only and you will use Microsoft Word and Excel to complete this assignment. 1. Select a Random Sample Select a random sample of size 100 from the given 182 countries (as demonstrated in videos of e-tivity 1.1). Remember that 182 countries constitute the population of interest and do not calculate any parameters such as mean and standard deviation from the population. Then from each category with an even number (categories 2, 4, 6, 8, 10 and 12), select one variable only. For example, under category 2, Water and Sanitation, there are three variables. They are:  Access to piped water  Rural access to improved water source  Access to improved sanitation facilities You need to select only one of them based on your preference for this category. As a result, each student will have a different sample that includes different variables. After this process, you will have a data set with a total of eight variables (including Countries Names and Continent) and 100 observations corresponding to each variable. If you have variables with missing values in your sample, you are allowed to remove those observation (delete the entire row that has a missing value). In that case your sample will be below 100 observations, which is acceptable. You will use this sample data to complete tasks 2 to 5. 2. Descriptive Statistics Use appropriate data summary methods to describe the variables in your sample. At this stage, you only concentrate on seven variables and exclude Countries Names. For each of the seven remaining variables, you need to have a graph and a table and descriptions of the graph FIN60003 Assignment Page 4 and the table. Use an appropriate graphical and/or summary statistical technique based on the type of variable. These techniques include: Tabular Techniques: e.g. Frequency tables and Grouped (joint) frequency tables. Graphical Techniques: e.g. Pie chart, Bar graph, Histogram (avoid three dimensional graphs). Summary Statistics: e.g. Mode, Median, Mean, Standard Deviation, Range, Coefficient of Variation and Interquartile Range (you do not have to report all of these summary statistics. Choose the most appropriate measures based on your personal judgement). You will need to choose the most appropriate technique(s) for each analysed variable. Less appropriate/inappropriate techniques will receive fewer/no marks. For a nominal or an ordinal (discrete) variable, draw a graph and present a frequency table in percentages. For a ratio or an interval variable (continuous), draw a graph and a summary statistics table. Try to use different graphs, e.g. pie chart/bar chart or histogram as much as possible for different variables. Do not draw two different graphs for the same variable. 3. Confidence intervals Estimate the following quantities using 95% confidence intervals. Explain the meaning of your confidence intervals. i. The average of the variable that you have chosen from Category 2 (Water and Sanitation). ii. The average of the variable that you have chosen from Category 12 (Access to Advanced Education). 4. Hypothesis Testing Margaret has some concerns about the common assumptions regarding social development across countries in different continents. As such, she asked Jason to carry out the following hypothesis tests based on the chosen variables in these categories. i. It has been argued that the level of Access to Advanced Education is higher among European countries than African countries? ii. It there any difference in terms of Personal Safety between Asian and American countries? iii. It there any difference in terms of Environmental Quality between European and American countries? FIN60003 Assignment Page 5 Only present the main elements of your analysis and your important findings in the main section of the report. The computations and Excel outputs should be placed in an appendix. 5. Correlation and Regression Margaret is interested in the relationships between some of these social variables. Margaret asked Jason to conduct regression analysis on the following variables:  Environmental Quality related variables (Category 8) and Water and Sanitation variables (Category 2).  Access to Information and Communications related variables (Category 6) and Personal Freedom and Choice variables (Category 10). Use these variables to develop two regression models and make sure to provide full discussions on each test. Use your chosen sample for these analyses. You discussions for each test should include:  a scattergram and full interpretation  an estimate of the linear regression model  the coefficients of correlation and determination  a test of the hypothesis that there is no linear relationship between dependent and independent variables. Assignment structure: Presentation Presentation is an important feature of a business report. The guide to presentation that follows includes an Executive summary, Introduction, Analysis and Appendices (please follow the instructions given in e-tivity 5.4). Your assignment should contain the following sections: Executive summary This is your first page and not to be included in the page count. Executive summary should be a combined form of Introduction and Conclusions.  Report only the highlights of the findings  Entice an Executive to read on  Essentially a lively summary of the main conclusions  No longer than one page since not counted in the page count, must be on a separate page from the rest of the report. Introduction (about half a page) This should contain information about what we expect to read in the project.  State the purpose of the report, e.g. what you will discuss in the report FIN60003 Assignment Page 6  Outline the contents of the report  Provide a brief description of the methodology  Describe the source of the data and state its location in the report. Analysis This section contains a thorough yet non-technical description of all the findings (graphs and tables will be included only where they help this discussion). It details the results that were highlighted in the Executive Summary. No calculation is required here but appropriate graphs and tables which are needed to support your discussions should be included. Your analysis section should contains the following divisions:  DESCRIPTIVE STATISTICS (about two pages) There are 8 variables in your data sets. Depending on the level of measurement (Nominal, Ordinal or Interval/Ratio measures), you will need to provide an appropriate graph, a summary statistics table and descriptions related to only 7 of those variables (exclude Countries Names). Take one variable at a time.  CONFIDENCE INTERVAL (about half a page) “We are 95% confident that………….” Do not show the method of calculating a confidence interval (calculation details should be reported in appendices). Do not draw a graph. Report the sample data used for analysis of this section in the appendix.  HYPOTHESIS TESTING (about one page) Do not write H0, HA etc. Only your result such as “hypothesis test was performed on………” Also report the type of hypothesis (i.e., upper, lower, two-tail), the test statistic, p-value, t-value and degrees of freedom. Report the sample data used for these analyses in the appendix.  CORRELATION and REGRESSION (about one and half pages) Present your scatter plots with a line of best fit included in the graphs. Clearly specify the dependent and independent variables and describe the strength of relationships using R and R squared values. A full linear regression model should be stated on both graph and in the discussion. Interpret the slope and intercept coefficients and hypothesis test result (t-value, p-value, etc.). Report the sample data used for these analyses in the appendix. Conclusion and limitations (about one page) All the important findings and results of your work should be presented here in a concise format. Make sure not to give tables or graphs here. This section you need to present FIN60003 Assignment Page 7  The final conclusion of your analysis of all sections. It is essentially an expansion of the Executive Summary written from the point of view that the Executive Summary has not been read.  Limitations of your analysis. In this section, you need to critically evaluate the method and data used in this analysis. What are the potential shortcomings of your conclusions?  This section ends with a discussion on the ethical implications of statistical methods. What are the ethical elements that needed to be considered when reporting results of a statistical analysis? You need to consult with the literature for this section. Reference list Follow the Harvard Style Guide (available on e-tivity 5.3) for all in text references, reference lists and bibliographies (reference list and appendices are not included in the page count). Appendices  Must be numbered and referred to in the main body of the report.  Must contain your selection of random numbers and related random data and any additional calculations and computer outputs for each section (do include the entire population in that appendix).  Also attach your EXCEL work for descriptive statistics, confidence interval, hypothesis testing and regression. Graphs must be presented in the main body along with relevant tables and discussion. Those Graphs that are only presented in the appendices will not be marked. Only include relevant Excel outputs in the report, and place the rest of outputs in the appendices. However, try to keep the appendices to a moderate size. Remember that examination is entirely based on the report itself and any excel outputs appeared in appendices are only to confirm your excel calculations. Indications given above about the page lengths are only a guideline. You will not be penalized for changing these, as long as you remain within the 8-pages limit. Marks and submission instructions This assignment contributes 20% to the final assessment. Presentation 1% Executive Summary 1% Introduction 1% Descriptive statistics 4% Confidence intervals 1% Hypothesis Tests 4% Correlation and Regression 4% Conclusion and Limitations 2% Appendix with EXCEL outputs 2% FIN60003 Assignment Page 8  Students must work independently on this assignment and submit only their own work. They are expected to submit genuine attempts at the assignment. The penalties for plagiarism can be severe ranging from a zero grade for an assessment task through to expulsion from the unit and in the extreme, exclusion from Swinburne.  This assignment must include your ID number, family name, given name, tutorial day and time and your lecturer’s name.  Marks will be awarded for presentation. Assignments must be word processed and include page numbers. Students are to use MS-Excel to perform the data analysis. All relevant Excel output, referred to but not included in the report itself, is to be placed in an appendix.  Assignment maximum lengths: 8 single-sided A4 pages, Executive Summary and Appendices. Executive Summary, Reference List and Appendices are not included in the page count.  Each student must keep a copy of their assignments for their own records.  Students are required to submit their assignments only electronically through Turnitin. Students are allowed to submit only one document (including the appendices). You will have one chance to submit the assignment, so ensure that you are submitting the final version of your assignment on Turnitin. Turnitin provides a matching service which will compare final submission with a range of data bases, including comparisons with other assignments, to avoid plagiarism
Answered Same Day May 05, 2020 FIN60003 Swinburne University of Technology

Solution

Pooja answered on May 13 2020
162 Votes
Executive summary
I want to analyze the categories of Water and Sanitation, Personal Safety, Access to Information and Communications, Environmental Quality, Personal Freedom and Choice, and Access to Advanced Education. 
Introduction
The technique of random sampling is used connect a random sample of size 100 from the given 182 countries. One variable is selected from the even number of categories (2, 4, 6, 8, 10 and 12). This process gives me a total of 8 variables namely Countries Names, Continent, Access to piped water, Traffic deaths, Internet users, Greenhouse gas emissions, Co
uption, Women's average years in school. After removing the missing values there are a total of 90 observations for each variable. The technique of descriptive statistics, hypothesis testing, and co
elation & regression analysis is used for the analysis of this data.
Analysis
Descriptive Statistics
The descriptive statistics for Access to piped water, Traffic deaths, Internet users, Greenhouse gas emissions, Co
uption, Women's average years in school is given below.
The average access to pipe water, traffic death, internet users, Greenhouse gas emission, co
uption, and women's average years in school is 65.84, 15.98, 49.38, 639.65, 45.07, and 10.15 respectively. 
Access to piped water, traffic death, internet users, co
uption, and women's average used in school have a low standard deviation with the value of 34.6, 8.26, 28.5,  19.35, and 4.22 respectively. The mean of all these variables is expected to be reliable as they have a low value of standard deviation.
Greenhouse gas emission is observed to have a very high value of standard deviation 1169.36. The high value of standard deviation indicates that its mean is not reliable.
The distribution of traffic death, internet users have an approximately normal distribution.
The distribution of Access to piped water and women's average years in school is negatively skewed. There are very few countries with low Access to piped water and women's average years in school.
The distribution of co
uption and Greenhouse gas emission is positively skewed. There are very few countries with large co
uption and Greenhouse gas emission.
Confidence Interval
The confidence interval is given by mean +-z(a/2)*(SE) where, SE = sd/sqrt(n). The confidence interval for Access to piped water and women's average years in school is given in the table below.
     
    Access to piped wate
    Women's average years in school
     
    
     
    Mean
    65.84394921
    10.15133333
    Standard E
o
    3.647995597
    0.445254187
    z(a/2) = Z(0.05/2)=
    1.96
    1.96
     
     
     
    lower limit
    58.69387784
    9.278635127
    upper limit
    72.99402058
    11.02403154
I am 95% confident that estimated population means of Access to piped water lies in the interval (58.69, 72.99).  I am 95% confident that estimated population means of women average years in school lie in the interval (9.27, 11.02).
Hypothesis Testing
(i)
The null hypothesis, Ho: there is no significant difference in the mean Women's average years in school between the European and African countries.
The alternative hypothesis, h1: the mean Women's average years in school is higher in the European as compared to African countries.
    Degrees of Freedom
    31
    Separate-Variance t Test Statistic
    13.7862
    Upper Critical Value
    1.6955
    p-Value
    0.0000
With (t=13.7, <5%), I reject the null hypothesis at 5% level of significance. There is sufficient evidence to conclude that mean Women's average years in school is higher in the European as compared to African countries.
(ii)
The null hypothesis, Ho: there is no significant difference in the mean Traffic deaths between the Asian and American countries.
The alternative hypothesis, h1: there is a significant difference in the mean Traffic deaths between the Asian and American countries.
    Degrees of Freedom
    31
    Separate-Variance t Test Statistic
    0.1221
    Lower Critical Value
    -2.0395
    Upper Critical Value
    2.0395
    p-Value
    0.9036
With (t=0.1221, p>5%), I fail to reject the null hypothesis at 5% level of significance and conclude that there is no significant difference in the mean Traffic deaths between the Asian and American countries.
(iii)
The null hypothesis, Ho: there is no significant difference in the mean Greenhouse gas emissions between the European and American countries.
The alternative hypothesis, h1: there is a significant difference in the mean Greenhouse gas emissions between the European and American countries.
    Degrees of Freedom
    25
    Separate-Variance t Test Statistic
    -0.9539
    Lower Critical Value
    -2.0595
    Upper Critical Value
    2.0595
    p-Value
    0.3493
With (t=-0.9539, p>5%), I fail to reject the null hypothesis at 5% level of significance and conclude that there is no significant difference in the mean Greenhouse gas emissions between the European and American countries.
Co
elation and Regression
(i)
The dependent variable is Greenhouse gas emissions and the independent variable is Access to piped water. The scatter plot between them is given below.
There is there is a very weak negative linear relationship between Access to piped water and Greenhouse gas emissions. As the value of Access to piped water increases, the value of greenhouse gas emissions decreases slightly.
The regression equation is given by Greenhouse gas emission =1375.75 -11.17*Access to piped water.
The value of the coefficient of determination is 0.109. There is 10.9% variation in greenhouse gas emission which is explained by Access to piped water. This percentage is very less and hence the fitted model is not a good fit to the data. 
To test the significance of model f statistic is used. Null hypothesis, ho: there is no significant linear relationship between Access to piped water and Greenhouse gas emissions. This is tested against an alternative hypothesis that there is a significant linear relationship between Access to piped water and Greenhouse gas emissions. With (F=10.8, P<5%), I reject the null hypothesis at 5% level of significance and conclude that there is a significant linear relationship between Access to piped water and Greenhouse gas...
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