Well, this is exactly the sort of thing that a programming language

Tom is accurate at figures.

So you get 4 minus 32.

Now, of course, as soon as I say that there's going to be one minor typo, but let's just assert that this code is correct.

This is the one now at the Computer History Museum in California, and it calculates accurately.

After normalization this will become 1 and this will become 0.

And the z score or standard score remains at 1.

So let's normalize it and we normalize it by the sum of the joint for cancer and the joint for non cancer.

So if 125 shrinks by 25 it's now 75 of 125 or 0.75.

Right? What's the probability that I'd get someone with a temperature of 103?

We just applied Bayes Rule to compute a really involved probability of having cancer after seeing a test result.

Estimate the total distance she ran over the four days, and then calculate the exact amount.

That is over 20,000 deaths a year.

However, if I now divide, that is, I normalize those non normalized probabilities over here by this factor over here,

So let's figure out what this is.

You're like, gee you know, I've got nine cards and I'm taking them out of 36 and

I expect my second test to be positive with probably 0.2301.

This clock is accurate.

Well it would be the width it would be x plus 4 times the

Well, we figure that out, I think, either in the last video or the video before that.

That's this thing in green right there.

Let's take 8 into 120.

Minus what's the probability of this?

So notice we interpreted this statement in two different ways this was just straight left to right, doing the addition, then the multiplication.

And we'll do that by first of all reviewing a famous sorting algorithm, namely the Merge Sort algorithm.

For example, p might be 0.5.

This one right here and over here.

Yeah, you guys standing up, you want to sit down for this.

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.

Weigh with an even balance,

and weigh with the straight scale,

And weigh with an even balance.

Weigh your goods with proper balance

And weigh (things) with a right balance,

Weigh with correct scales

And weigh with scales true and upright.

Value to which the standard normal distribution is calculated

The number for which the standard normal distribution is to be calculated