So let's write this down.

Or let me write it this way.

So the probability of guessing on both of them so that means that the probability of being correct on guessing correct on 1 and number 2 is going to be equal to the product of these probabilities.

That we wind up deriving results which suggest that an algorithm is fast when it's really slow in practice, or vice versa.

What's the deal?

And we're going to see why that is visually in a second.

So probability of correct on number 2 is 1 3.

Ask all you like, but honestly, there's nothing to discuss on that subject.

So the probability of being correct on problem 1 is 1 4.

Each one only has one correct answer.

Well, that is strange, but why does it matter if he kept a diary?

Without your husband's help, I don't know.

Your answer to the question is not correct.

I think he's going to talk about that later in the conference.

Exact

See anything interesting?

And then if that person interrupts, then those two heads may turn.

And the data gets pretty granular so you can see the exact problems that the student got right or wrong.

The data gets pretty granular, so you can see the exact problems the student got right or wrong.

The agenda for the meeting has been distributed.

Be accurate!

Accurate Coastline

My hunch, my longshot hunch.

What say, shall we move on to the sale to Illustra?

Well, that's one reason we had a conference here at USC a few years ago.

What is the probability of randomly guessing the correct answer on both problems?

And he had piles and piles of these.

Strictness

Correctness

Correctness

Accuracy

Send to Back

Exactly

He can only say purple or green.

The paper was made in Bohemia, I said.

Precisely.

Well, there's a great view of the State House.

Weigh on an even balance.

And weigh with a proper balance.

and weigh with the straight balance,

And weigh with a balance straight.

And weigh with the true and straight balance.

And weigh with accurate scales.

weigh with an even balance

And weigh with the true balance.