Visit the NASDAQ historical prices weblink. First, set the daterange to be for exactly 1 year ending on the Monday that thiscourse started. For example, if the current term started on April1, 2018, then use April 1, 2017 – March 31, 2018. (Do NOT use thesedates. Use the dates that match up with the current term.) My classstarted 14 January 2019. Do this by clicking on the blue datesafter “Time Periodâ€. Next, click the “Apply†button. Next, clickthe link on the right side of the page that says “Download Data†tosave the file to your computer. This project will only use theClose values. Assume that the closing prices of the stock form anormally distributed data set. This means that you need to useExcel to find the mean and standard deviation. Then, use thosenumbers and the methods you learned in sections 6.1-6.3 of thecourse textbook for normal distributions to answer the questions.Do NOT count the number of data points. Complete this portion ofthe assignment within a single Excel file. Show your work orexplain how you obtained each of your answers. Answers with no workand no explanation will receive no credit. 1. a) Submit a copy ofyour dataset along with a file that contains your answers to all ofthe following questions. b) What the mean and Standard Deviation(SD) of the Close column in your data set? c) If a person bought 1share of Google stock within the last year, what is the probabilitythat the stock on that day closed at less than the mean for thatyear? Hint: You do not want to calculate the mean to answer thisone. The probability would be the same for any normal distribution.(5 points) 2. If a person bought 1 share of Google stock within thelast year, what is the probability that the stock on that dayclosed at more than $950? (5 points) 3. If a person bought 1 shareof Google stock within the last year, what is the probability thatthe stock on that day closed within $50 of the mean for that year?(between 50 below and 50 above the mean) (5 points) 4. If a personbought 1 share of Google stock within the last year, what is theprobability that the stock on that day closed at less than $800 pershare. Would this be considered unusal? Use the definition ofunusual from the course textbook that is measured as a number ofstandard deviations (5 points) 5. At what prices would Google haveto close in order for it to be considered statistically unusual?You will have a low and high value. Use the definition of unusualfrom the course textbook that is measured as a number of standarddeviations. (5 points) 6. What are Quartile 1, Quartile 2, andQuartile 3 in this data set? Use Excel to find these values. Thisis the only question that you must answer without using anythingabout the normal distribution. (5 points) 7. Is the normalityassumption that was made at the beginning valid? Why or why not?Hint: Does this distribution have the properties of a normaldistribution as described in the course textbook? Real data setsare never perfect, however, it should be close. One option would beto construct a histogram like you did in Project 1 to see if it hasthe right shape. Something in the range of 10 to 12 classes is agood number. (5 points)