Below is the monthly sales data for Company Y over the course of the prior year.

2019	Visitors To Website	Visitors That Purchased	Avg Order Amount
Jan	13,991	3,217	$121
Feb	13,711	2,938	$107
Mar	12,731	2,658	$113
Apr	12,731	3,078	$121
May	12,451	3,078	$96
June	13,571	3,637	$121
July	12,871	3,777	$110
Aug	14,550	4,477	$98
Sept	13,291	4,057	$90
Oct	13,431	3,357	$94
Nov	14,130	4,057	$101
Dec	13,851	4,337	$112

1. Create an appropriate Bar Chart for the Average Order Amount per Month.
2. Calculate the mean for each of the three categories of data.
3. Assuming the data is normally distributed, calculate the standard deviation of each of the three categories of data.
4. Determine the overall probability that a visitor to the website will order. Explain your reasoning.
5. Determine the probability that the company will sell at least its average monthly orders. Explain your reasoning.
6. A marketing campaign estimates an ad buy will increase the probability of a visitor purchasing an order by 0.247%. Determine the probability that the company will sell at least its average monthly orders under this new marketing ad campaign.
7. A marketing campaign estimates an ad buy will increase the probability of a visitor purchasing an order by 0.247%. Determine the probability that the company will sell at most 1.98% more average monthly orders under this new marketing ad campaign.
8. Prepare a memo to your supervisor detailing the findings of your analysis. Include all applicable numbers, tables, charts, and graphs. Explain in detail.