Software filters rely heavily on ""blacklists"" (lists of known ""phishing"" urls) to detect fraudulent e-mails. but such filters typically catch only 24 percent of phishing urls. jason receives 25 phishing e-mails. (a) what is the expected number that would be caught by such a filter? (round your answer to 2 decimal places.) expected number (b) what is the chance that such a filter would detect none of them? (round your answer to 5 decimal places.) probability

i need more info. are you looked to see there mph? how much they deliver? how far they go?

step-by-step explanation:

in the attachment.   i didn't see your choices.   the word which means there is choices.

step-by-step explanation:

(x,y)

x tells you how much left or right you go from the origin

y tells you how much down or up you go from the origin

so for example (-3,2), you go left 3 and up twice. i denoted which of the ordered pairs is which in my graph.

answer: you need to organize this better it does not make sense.

step-by-step explanation: ?

-2x-4

step-by-step explanation: