$.$ Descriptive statistics $\_\_\_\_\_\_\_\_.$

quickly describe large amounts of data

can predict future stock returns with surprising accuracy

help statisticians understand non$-$numeric information, like colors

refer mainly to patterns that can be found in data

$2.$ A $15\%$ return on a stock means that $\_\_\_\_\_\_\_\_.$

$15\%$ of the original purchase price of the stock returns to the seller at the end of the year

$15\%$ of the people who purchased the stock will see a return

the stock is worth $15\%$ more at the end of the year than at the beginning

the stock has lost $15\%$ of its value since it was originally sold

$3.$ A stock purchased on January $1$ cost $$4\mathrm{.}35$ per share. The same stock, sold on December $31$ of the same year, brought in $$4\mathrm{.}75$ per share. What was the approximate return on this stock?

$0\mathrm{.}09\%$

$109\%$

$1\mathrm{.}09\%$

$9\%$