$\backslash$table$[[,$Acquisition,Online Behavior,Purchase$],[$Gender$,$All Users,New Users,$\backslash$table$[[$Users Who$],[$Viewed$],[$Only One$],[$Page$]],\backslash$table$[[$Bounce$],[$Rate$]],\backslash$table$[[$Pages$],[$Viewed per$],[$User$]],\backslash$table$[[$User$],[$Duration $($on$],[$avg$.)$ in$],[$Seconds$]],\backslash$table$[[$Users Who$],[$Were$],[$Engaged in a$],[$Transaction$]],$REVENUE,$\backslash$table$[[$Ecommerce$],[$Conversion$],[$Rate$]]],[$Male$,2000,500,200,,3,90,50,$$$15,000,],[$Female$,4000,1900,400,,4,140,500,$$$35,000,]]$

If you drill into the target age group, what would be the bounce rates for males and females? $($Use the data in Figure $2.)$

$\backslash$table$[[,$A$,$B$,$C$,$D$,$E$,$F$],[1,$Sex,New Users,$\backslash$table$[[$Users Who$],[$Viewed Only $1],[$Page$]],$Bounce Rate,$\backslash$table$[[$Users Who Were$],[$Engaged in a$],[$Transaction$]],\backslash$table$[[$Ecommerce$],[$Conversion Rate$]]],[2,$Male,$1,900,400,21,400,21],[3,$Female,$500,200,40,200,40]]$

$82,32$

$82,34$

$40,21$

$40,34$

$4.$ If you drill into the target age group, what would be the conversion rates for males and females? $($Use the data in Figure $2.)$

$8,16$

$8,12$

$10,16$

$10,26$