Bayes' rule can be used to identify and filter spam emails and text messages. this question refers to a large collection of real sms text messages from participating cellphone users.1 in this collection, 747 of the 5574 total messages () are identified as spam. the word "text" (or "txt") is contained in of all messages, and in of all spam messages. what is the probability that a message is spam, given that it contains the word "text" (or "txt")?

80 the answer is 80

step-by-step explanation:

the polynomial is a perfect square trinomial of the form a^2-2ab+b^2:

option a. true

step-by-step explanation:

9x^2-12x+4

comparing with the form a^2-2ab+b^2

1.) a^2=9x^2

solving for a: square root both sides of the equation:

sqrt(a^2)=sqrt(9x^2)

a=sqrt(9) sqrt(x^2)

a=3x

2.) b^2=4

solving for b: square root both sides of the equation:

sqrt(b^2)=sqrt(4)

b=2

to be a perfet square trinomial 2ab must be equal to 12x. let's check:

2ab = 2 (3x) (2)

2ab = 12x

correct

more i think

hope this !