Answer:
Graph 1
Step-by-step explanation:
f(x) = __
In this equation (f(2) = 4) the 2 is the x value. All this question is asking is which graph shows a y value of 4 when x is 2.
Hey there, Delilah
What's it like in New York city?
I'm a thousand miles away
But, girl, tonight you look so pretty
Yes, you do
Time square can't shine as bright as you
I swear, it's true
Hey there, Delilah
Don't you worry about the distance
I'm right there if you get lonely
Give this song another listen
Close your eyes
Listen to my voice, it's my disguise
I'm by your side
Oh, it's what you do to me
Oh, it's what you do to me
Oh, it's what you do to me
Oh, it's what you do to me
What you do to me
Hey there, Delilah
I know times are gettin' hard
But just believe me, girl
Someday I'll pay the bills with this guitar
We'll have it good
We'll have the life we knew we would
My word is good
Hey there, Delilah
I've got so much left to say
If every simple song I wrote to you
Would take your breath away
I'd write it all
Even more in love with me you'd fall
We'd have it all
Oh, it's what you do to me
Oh, it's what you do to me
Oh, it's what you do to me
Oh, it's what you do to me
A thousand miles seems pretty far
But they've got planes and trains and cars
I'd walk to you if I had no other way
Our friends would all make fun of us
And we'll just laugh along because we know
That none of them have felt this way
Delilah, I can promise you
That by the time we get through
The world will never ever be the same
And you're to blame
Hey there, Delilah
You be good, and don't you miss me
Two more years and you'll be done with school
And I'll be makin' history like I do
You'll know it's all because of you
We can do whatever we want to
Hey there, Delilah, here's to you
This ones for you
Oh, it's what you do to me
Oh, it's what you do to me
Oh, it's what you do to me
Oh, it's what you do to me
What you do to me
Oh, whoa, whoa
Oh whoa, oh
Oh, oh
Answer:
I cant see the numbers clearly
Step-by-step explanation:
Answer: Mathematically Bayes’ theorem is defined as
P(A\B)=P(B\A) ×P(A)
P(B)
Bayes theorem is defined as where A and B are events, P(A|B) is the conditional probability that event A occurs given that event B has already occurred (P(B|A) has the same meaning but with the roles of A and B reversed) and P(A) and P(B) are the marginal probabilities of event A and event B occurring respectively.
Step-by-step explanation: for example, picking a card from a pack of traditional playing cards. There are 52 cards in the pack, 26 of them are red and 26 are black. What is the probability of the card being a 4 given that we know the card is red?
To convert this into the math symbols that we see above we can say that event A is the event that the card picked is a 4 and event B is the card being red. Hence, P(A|B) in the equation above is P(4|red) in our example, and this is what we want to calculate. We previously worked out that this probability is equal to 1/13 (there 26 red cards and 2 of those are 4's) but let’s calculate this using Bayes’ theorem.
We need to find the probabilities for the terms on the right-hand side. They are:
P(B|A) = P(red|4) = 1/2
P(A) = P(4) = 4/52 = 1/13
P(B) = P(red) = 1/2
When we substitute these numbers into the equation for Bayes’ theorem above we get 1/13, which is the answer that we were expecting.
