Q1 Q2 Q3 Q4: Q5 Q6 Q7 Q8 List the seven phases of the data science project lifecycle and illustrate one activity conducted in each phase. [14 Marks] State and elaborate the Vs of the characteristics of the Big Data [12 Marks] An investor bought 1000HKD worth of goods and sold them at 1010 HKD after six months. Calculate the Return on Assets and the Annualized return of this investment? [4 Marks] The expected return on Portfolio 1 is 15%, with a stande deviation of 5%. The expected return on Portfolio 2 is 20%, with a standard deviation of 10%. Your nancial advisor reminded you that your minimum return is 5%, and he suggested that portfolio 2 is a better investment under the rst safety ratio criterion. Do you agree? Justify your answer. [4 Marks] Identify three major measures of Central Tendency. Calculate these measures, variance and standard deviation for the following data set: (1,3,6,8,9,2,4,5,7). [8 Marks] a) Outline the "68-95-9937 rule" for a normal distribution. [3 Marks] b) An analyst suggests that "The price of product X has a 95.4% chance of staying between 2700 HKD and 3300 HKD." You nd out that product X has an average price of 3000 HKD and a standard deviation of 100 HKD. Do you agree with the analyst's statement? State your assumption and justify yOur answer. [3 Marks] a) Define Point estimation and interval estimation. [2 Marks] b) From the information collected by 10000 investors, the average investment to a local fund is 80000 HKD with a standard deviation of 5000 HKD. Under the condence level of 95%, nd the average investment. State all the asSumptions. [6 Marks] An index of a product follows a normal distribution with a population standard deviation of 20. A sample size of 25 is drawn, and the average value is 1510. Do you agree that \"The expected index for this batch is 1500 at a signicant level of 5%?\