Statistics for Financial Decisions

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  1. QUESTION

     Statistics for Financial Decisions  

     

     STAT6003 Assessment 2 Individual Presentation Page 1 of 4

     

     ASSESSMENT BRIEF

    Subject Code and Name

    STAT6003 : Statistics for Financial Decisions

    Assessment

    Assessment 2: Digital Presentation

    Individual/Group

    Individual

    Length

    Max 10 slides/ 5 mins presentation for video recording

    Learning Outcomes

    a) Analyse and present data graphically using spreadsheet software (Excel).

    c) Apply judgment to select appropriate methods of data analysis drawing on knowledge of graphical analysis, descriptive statistics, probability and probability distributions.

    e) Conduct quantitative research, articulate and present findings to a wide range of stakeholders, from accounting and non- accounting backgrounds.

    Submission

    By 11:55pm AEST/AEDT Sunday of Module 3.1 (week 5)

    Upload part A PowerPoint slide, part B Excel data analysis and part C video TOGETHER before clicking the submit Button through submission link in assessment 2.

    Weighting

    25 %

    Total Marks

    100 Marks

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Subject Economics Pages 5 Style APA
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Answer

        1.  

           

          Statistics for Financial Decisions

           

          Australian Data on Payments of Youth Allowance

          The data which I have accessed in on the cushion program that the Australian government has for its unemployed citizens. The amount is specifically given to the unemployed Australian citizens who are youths to cater for their day to day needs. The most recent data for this information is as shown below;

          Table 1: Total Jobseeker Payment and Youth Allowance (other) Recipients by Gender and State

          By State

          June 2020 Females

          June 2020 Males

          June 2020 Total

          May 2020 Total

          Variation May - June Number

          Variation May - June per cent

          Total Recipients

          751,720

          862,692

          1,614,412

          1,635,286

          -20,874

          -1.3%

          New South Wales

          220,231

          250,022

          470,253

          476,784

          -6,531

          -1.4%

          Victoria

          183,903

          200,223

          384,126

          389,229

          -5,103

          -1.3%

          Queensland

          171,587

          203,447

          375,034

          379,687

          -4,653

          -1.2%

          South Australia

          57,245

          67,697

          124,942

          126,375

          -1,433

          -1.1%

          Western Australia

          81,937

          96,976

          178,913

          181,348

          -2,435

          -1.3%

          Tasmania

          18,596

          20,918

          39,514

          39,857

          -343

          -0.9%

          Northern Territory

          11,313

          14,970

          26,283

          26,369

          -86

          -0.3%

          Australian Capital Territory

          6,589

          8,063

          14,652

          14,858

          -206

          -1.4%

           

          Table 2. Total Jobseeker Payment and Youth Allowance (other) Recipients by Gender and Age Group

          By Age Group

          June 2020 Females

          June 2020 Males

          June 2020 Total

          May 2020 Total

          Variation May - June Number

          Variation May - June per cent

          Total Recipients

          751,720

          862,692

          1,614,412

          1,635,286

          -20,874

          -1.3%

          Under 25 years

          152,240

          178,824

          331,064

          333,621

          -2,557

          -0.8%

          25-34 years

          147,348

          220,222

          367,570

          375,449

          -7,879

          -2.1%

          35-44 years

          135,674

          165,959

          301,633

          307,134

          -5,501

          -1.8%

          45-54 years

          151,142

          144,691

          295,833

          299,995

          -4,162

          -1.4%

          55-64 years

          148,969

          137,278

          286,247

          287,418

          -1,171

          -0.4%

          65 years and over

          16,347

          15,718

          32,065

          31,669

          396

          1.3%

           

          These can be presented graphically as shown below;

          Figure 1: Table 1: Total Jobseeker Payment and Youth Allowance (other) Recipients by Gender and State

           

          Figure 2. A combined graph of Total Jobseeker Payment and Youth Allowance (other) Recipients by Gender and State

          Noted

          • People who receive jobseeker payment are individuals who are determined to be the current, on the Centrelink payment system. This is to mean that these individuals do no expect to receive zero payment.
          • The recipients of the allowances which are given to the youth are citizens of youthful age, who are determined to be the current on the Centrelink payment system.
          • It is worth to note that beneficiaries whose cities are not known as not presented in the table.

           

           

           

           

          Figure 3. Total Jobseeker Payment and Youth Allowance (other) Recipients by Gender and Age Group

           

          Figure 4. A Combined Graph of Total Jobseeker Payment and Youth Allowance (other) Recipients by Gender and Age Group

          Notes

          • Recipients of Jobseeker Payment who are determined to be current on the Centrelink payment system, and not in receipt of zero rate of payment.
          • Recipients of Youth Allowance (other) who are determined to be current (i.e. entitled to be paid) on the Centrelink payment system.

          Interpretation of the Data

          • According to Gosea and Antoulas (2020), numerical measures are a tool which is used in summarizing data. The proportion of data values at every category is usually the primary numerical measure for the qualitative data. Mean, media, mode, percentiles, variance and standard deviation, are the commonly used.  
          • The numerical measure that is chosen is average. This is the arithmetic mean, or else the total value divided by the number of frequencies (Walsh, 2020).
          • From the data analyzed, the Australian government paid an average of 151,936 job seekers in the months of May and June 2020. This is an indication that approximately 151, 936 people had no employment during these months, and therefore dependent on the government’s cushioning.

           

           

References

Australian Government (2020). Jobseeker Payment and Youth Allowance recipients - monthly profile - June 2020. Retrieved from: https://data.gov.au/dataset/ds-dga-728daa75-06e8-442d-931c-93ecc6a57880/distribution/dist-dga-3d106749-d6dd-4dda-ba35-c32dc5f72ffa/details?q=jobseeker.  

Gosea, I. V., & Antoulas, A. C. (2020). Rational approximation of the absolute value function from measurements: a numerical study of recent methods.

Walsh, M. J. (2020). Online Doctoral Student Grade Point Average, Conscientiousness, and Grit: A Moderation Analysis. Journal of Educators Online17(1).

 

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