(PORTFOLIO) ASSIGNMENT: Financial Statistics and Tools (FSINC602A) ; 30% of Total Assessment Marking Guide: For each Question, a comprehensive answer, well documented and well presented (with...

(PORTFOLIO) ASSIGNMENT: Financial Statistics and Tools (FSINC602A) ; 30% of Total Assessment Marking Guide: For each Question, a comprehensive answer, well documented and well presented (with numerical examples as may be relevant, with accurate calculations, and with material correctly referenced where relevant etc. ) will receive the maximum allocated mark. Marks will be deducted for answers that are inadequate, irrelevant, poorly - addressed , un-referenced and poorly presented. Your resources could be any relevant library book, your text-book and the www. A recommended extra resource is : STATISTICS FOR MANAGEMENT by RICHARD LEVIN (ref. 519.5, LEV:S).The relevant Chapters are ; Sampling and Sampling Distributions, Time Series, Index Numbers. This book is available (in the Reserve Collection) on 2-hour loan at the Swinburne (Hawthorn) Library. ----------------------------------------------------------------------------------------------------------------------------------- Numerical Examples simply copied from textbook will not be accepted. Textbook examples modified with your own data are acceptable. ------------------------------------------------------------------------------------------------------------------------- Question 1. [2 marks] What is a ‘random sample’? Question 2. [2*4=8 marks] Explain the terms: simple random sampling , systematic sampling, stratified sampling, cluster sampling. Question 3. (4+4=8 marks) What is the ‘central limit theorem’(Chebyshev’s Theorem)? Provide examples to make the meaning clear (using concepts such as sampling distribution and standard error of the Mean). Question 4. (2+2*4=10 marks) What is a time series? Explain the 4 main components of a time series. Question 5. (6*2=12 marks) Using relevant (well-documented) numerical examples, explain the steps involved in the following techniques, when applied to time-series: 3-year moving average method, 4-year moving average method, least squares...