But you married him.

The odds are against you, colonel.

Well, let's improve the odds.

So for comparison's purposes, let's think about some other walk of life you may expect might be extremely risky.

What kind of odds would you have give you and me?

the risk is too high.

So obviously, in this binomial distribution, there are about 16 different outcomes from 0 to 15.

The train's packed as it is!

Sham has about as much chance of beating Secretariat as Pancho has of beating Muhammad Ali.

So we get no revenue that period

I admit, business has been slow.

There's a 0.1 chance I might still be grumpy for some other reason.

When I joined as finance minister,

Now, lookers ran the probabilities, and it's a statistical anomaly.

If it comes up tails, you get nothing.

Then the value of the state for the action go up would be obtained as follows.

Probability

Phil, the odds against

This is being answered using Bayes rule, so this is the probability of being happy given that it rains times the probability that it rains over the probability of being happy.

So if you get a positive test result you're going to raise the probability of having cancer relative to the prior probability.

Then we graph the binomial just like before.

But my background is black so I'll use green. So we'll say being in the green.

From that you can easily calculate the probability of measuring 'white', if a particle falls on a black square.

What are the odds?

But total movie revenues across theaters, home video and pay per view are up.

And I won't go into the details of accounting.

And of course, it's near this one.

Here again are some of the observational results.

And these are the so called developing countries.

Obviously the whole discussion is what happens to this price over a bunch of different scenarios?

You're gonna pay every year but the reason why this premium is going to be a little bit higher is that you have a higher chance of dying from ages, from ages uhh ffifty to sixty than you did for ages forty to fifty.

So we divide by the total weight of all particles, and we get out those probabilities over here.

We know that at time 0 it was raining with half a chance.

Let's use the Laplacian smoother with K 1 to calculate the few interesting probabilities

Because the risk, the high probability of climate change is real.

Probability of success

Probability of failure

He she said that those squares they were worth a lot of pasta.

Notice what happens when I change it.

And these are mutually exclusive events, you can't have both of them

The smallness of that probability is what we mean by extremity.

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

After now closing the curtain again, he'll ask you do you want to switch.

You can drive it, but there's still the occasional accident.

This guy over here is 0.4 again, but now it's this 0.4 over here.