As a marketing manager, you are tasked with selecting a website to place your advertisement. The following sampled data shows the number of user visits per month over the last $3$ three years:Website $1$: $10357,10537,10767,10561,10544,10581,10602,10665,10335,10419,10737,10410,10485,10601,10458,10472,10435,10375,10436,10510,10345,10559,10520,10425,10351,10465,10491,10671,10366,10440,10618,10606,10406,10538,10449,10462$Website $2$: $11067,11029,10888,10789,10914,10663,10787,11140,11042,11074,10868,10853,10900,11088,10991,10928,10959,11126,11033,11114,11150,11155,11027,10900,11015,11123,10953,11181,10855,10731,10971,10770,11070,11122,11018,10903$Since the behavior df internet users can be considered a natural process, consider the number of views to follow normal distribution. In addition, please assume no autocorrelation or time$-$series nature of the data.Based on the data above, provide the answers to the following questions:What is the average and standard deviation of viewership of each website?Is viewership different between these two websites? If yes, why, and which website provides more views?Suppose that your manager requires at least $12000$ views per month. What is the probability of $12000$ views happening on each website?Which website provides more consistent view? How would you measure it$?$If your company definitely needs at least $12000$ views, what would be your recommended course of actions? Please show in Excel using data analysis tool pack