So power is a good thing, statistical power.

You enjoy the reversal.

Then we say, hey, this is statistically signifigant.

So, we would cross this sample off the list.

And this procedure would also be consistent.

R. For now, power is simply the probability that you'll reject the null hypothesis when in fact you should.

Obviously, 8 is the most likely outcome, assuming the null hypothesis is correct.

But you always run the risk of making an error when you play this game.

201.5 was the mean.

We reject that. We get another b, a.

Where does the credibility region end?

But I'm afraid Mr. Fiske's motion to dismiss is beginning to feel like it has some merit.

You only worry about the following is p smaller than 0.5 as the alternate hypothesis?

Of course if you retain and the null is in fact true, then great you made the correct decision.

Tried to sue the government, case was dismissed.

Five healthy that's the 5 to look at, not the other one falls into the critical region.

The second problem is it only allows for a binary outcome.

And the answer is yes.

We go back and say does this match?

b, a, b, a.

What that means is, my assumption that, that group was healthy, that everyone is that group was healthy, was probably wrong, right?

Missed an opportunity. And that's a type two error.

So a Fec size allows you to get away from this binary outcome problem that is rejectory attained.

We end up walking around in this space of assignments of variables randomly.

We have to make a decision to either reject or retain.

All you care about is putting a separator within and except this region and what's called the critical region and again the logic is the critical region collects many possible outcomes, but in totality, these probabilities don't exceed the 5 .

In fact, it's included in the critical region that goes from 0 all the way to 5, and therefore we reject this claim over here at a 95 confidence level or 5 error probability.

Then that's just so extreme. That's such an extreme outcome that I would reject the null hypothesis.

You may have heard of this before, if P is

And these are a Fec size confidence intervals in model comparison.

We had reached the same crowded thoroughfare in which we had found ourselves in the morning.

Even the maximum of the outcome has a small probability in this model.

But there's a problem with rejection sampling.

And again, technically speaking if you're playing this game, no hypothesis significance testing by the rules.

So while I'm on to my next gadget, my last gadget is off poisoning families in Guiyu or India or Nigeria.

A request to sponsor needy schoolchildren has come in from Seoul City..

The Ministry of Education would like to conduct a special selection process for agriculture students at Shinhwa University from next year onwards....

Retreat! Retreat!

Fall back!

Retreat!

Withdraw!

Go on, fall back!

Negative!

Now since we know that these must smaller or equal to 2.5 each, we have to exclude 3 and 11 from the critical region, and 3 shall be fine for these two sample tests.

Abandoned