Exercise

# Simulating sales under new market conditions

The company's financial analyst is predicting that next quarter, the worth of each sale will increase by 20% and the volatility, or standard deviation, of each sale's worth will increase by 30%. To see what Amir's sales might look like next quarter under these new market conditions, you'll simulate new sales amounts using the normal distribution and store these in the `new_sales`

data frame, which has already been created for you.

In addition, `dplyr`

and `ggplot2`

are loaded.

Instructions

**100 XP**

- Currently, Amir's average sale amount is $5000. Calculate what his new average amount will be if it increases by 20% and store this in
`new_mean`

. - Amir's current standard deviation is $2000. Calculate what his new standard deviation will be if it increases by 30% and store this in
`new_sd`

. - Add a new column called
`amount`

to the data frame`new_sales`

, which contains 36 simulated amounts from a normal distribution with a mean of`new_mean`

and a standard deviation of`new_sd`

. - Plot the distribution of the
`new_sales`

`amount`

s using a histogram with 10 bins.