I'm going to flip a coin.

is being switched by a coin flip?

There's a flip side to that coin.

Take a coin flip. There is a true probability p for the coin.

Suppose we flip our coin twice.

Suppose I flip a coin, and the coin comes up tails or heads.

It's like a coin flip it doesn't count, really.

you wanna flip a coin to see who leads?

You and me! Coin flip is sacred.

We flip the coin a 1000 times which is a lot.

Thrun Now let's flip the coin 4 times, and let's call Xi the result of the i th coin flip.

We flip a coin, comes up heads, so we connect them.

And you can run that simulation. You can flip a coin.

Anyway, let's say I'm going to now flip a coin twice.

You can either take a risky loss so I'll flip a coin.

The x's that we've used here because the random coin flip doesn't understand what the order of the coin flip is.

Every time you flip a coin, you double the number of sequences.

And then I'm going to flip that coin, I'm going to flip it five times.

We now flip this coin again (the same coin), and we see heads again for a second time.

The first coin flip might also come up tails, in which case I pick a very different coin.

But this is the flip side of his coin, Harry.

I flip a fair coin of getting exactly 7 out of 8 heads?

In assignment 1, I literally want you to flip a coin 1000 times.

At 80 20, it's a coin flip whether you accept that or not.

Now, we go in that courtroom, we might as well flip a coin.

A loaded coin is a coin, that if you flip it, might have a non 0.5 chance of coming up heads or tails.

Let's just flip it once, so with one flip of the coin, what's the probability of getting heads?

So let's say I want to figure out the probability I'm going to flip a coin eight times and it's a fair coin.

In one room there is a man who flips his switch according to a coin flip.

What's the probability of getting let's say I were to flip a coin seven times.

You learned about probability of an event, such as the outcome of a coin flip.

From a single coin flip, the maximum likelihood estimator will always assume that all future coin flips come from the same way.

Let me now flip that coin once, and I want you to tell me, what's the probability that this coin which could be 50 chance fair coin and 50 chance a loaded coin.

In a scenario like this, I don't suppose it is bad form to just... flip a coin.

If you and I flip a coin and it comes up heads, we would not say obviously this coin always comes up heads.

We now pick a coin at random with 0.5 chance, and we don't quite know which coin we've picked, but we do flip this coin, and we see heads.

You randomly choose one coin from the bag and flip it 4 times

So there's 2 to the eighth possible outcomes when you flip a fair coin eight times.

And then whichever coin I get I'm going to flip it five times in a row.

In this probability question, we study a potentially loaded or unfair coin, which we flip twice.

So if I told you that I'm going to flip a coin and actually, even better.

What is the probability of having heads on the first flip or on the second flip if we have one coin with a probability of heads of 0.7 and a second coin with a probability of heads of 0.5?

The real challenge is to compute the variance of a coin flip where the outcome is p.

Let's say you flip another coin once and you get 0. It's a complete set of experiment.

Let's assume you and I both flip a coin. When I flipped, I get the following sequence.