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Q$1$: Use the set of data provided below to create an array of closing prices for a particular stock over a period of time. The array contains the closing prices in chronological order. Using this array of stock closing prices, provide the following statistics:

Calculate the average $($mean$)$ closing price for the stock.

Determine the highest closing price reached during the given period.

Identify the lowest closing price observed during the given period.

Calculate the standard deviation of the closing prices, which measures the dispersion of the values around the mean.

The standard deviation of a stock price can be used as an indication of the stability or volatility of the stock's price. A higher standard deviation suggests greater price volatility, indicating that the stock's price has experienced larger fluctuations or swings $($risky$).$

if you choose the Investor Risk Tolerance to be $10\%$ of the mean value,

A$-$ what would be the closing price that the investor should consider selling.

B$-$ by using "empirical rule" in statistics $($do a research about empirical rule$).$ will the closing price calculated in A be acceptable by the investor? considering any price below the "Lower Limit" is not acceptable.