So the null hypothesis is that the slope relating X to Y is zero.

We, will assume there's no correlation between x and y.

Conversely, if the null hypothesis falls outside, you don't believe null hypothesis and you accept the alternate hypothesis.

And our null hypothesis is equals p 0.9 and our alternate hypothesis, if it doesn't work, as well as the null hypothesis, so p is smaller than 0.9.

Does every French utterance have an equivalent Japanese utterance?

Here I've presented it in what's called a directional test.

That's all stem cells.

We checked with the experiments, validated the prediction.

And so, at that time,

So what scientists do is they have a hypothesis that they think might be likely to start with.

The first step is customer discovery.

It was hot. It wasn't hot enough.

the mosquito man. But he ran an experiment in people, right?

For bugs, we do not.

You're job is to get out of the building and talk to the payers.

Now, for the answers. A theory is the outcome of the scientific method.

It's a hypothesis,

At this point, we have systematically fixed the first bug using the scientific method to systematically come up with a hypothesis and refine it, refine it again, possibly come up with alternatives until we end up with a diagnosis.

The null hypothesis is the basic hypothesis that something is correct and unless proven wrong, we always believe null hypothesis is actually correct, we trust the manufacturer or do we have sufficient evidence to be very high likelihood the null hypothesis is wrong, the alternate hypothesis is correct then, we reject the null hypothesis and we tell the manufacturer, please print the label on the box because the number there isn't quite correct.

Now, the tricky question is what do you think is the alternate hypothesis if I suspect that the medication doesn't work as well as advertised in terms of losing weight.

And this pair of parameters corresponds to that hypothesis, corresponds to flat line, that is, h(x) equals 360 plus zero times x.

If the observation, however, is not in line with your prediction, then the hypothesis is rejected, and if the hypothesis is rejected, you need to come up with a new hypothesis, and this cycle going along from hypothesis through prediction through experiment through observation and gradually refining the hypothesis or coming up with alternatives.

It's not the probability that the Null hypothesis, of the Null hypothesis being true.

like playground supervisors.

So the physics is that you cannot prove a hypothesis, but it's easy to disprove it any hypothesis is shaky.

That's a lot of whatifs.

One thing I could do is

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

Because it is a little bit of a game.

What is it we have seen? We have started with an initial hypothesis.

I In theory, yes.

What we have to do, once we know the test is positive, is to weigh up the plausibility, or the likelihood, of two competing explanations.

Is it because it's more fun?

So now, we have two hypotheses and we'd like to test them.

When that doesn't work, when it turns out those people have all the same facts that we do and they still disagree with us, then we move on to a second assumption, which is that they're idiots.

So we ask you to think about get, keep and grow.

That is at the vertical access value 0.5.

If my hypothesis is correct,

The result confirmed my hypothesis.

Let's look at just a couple of examples.

And as long as we've looked for explanations, we've wound up with something that gets closer and closer to science, which is hypotheses as to why we get sick, and as long as we've had hypotheses about why we get sick, we've tried to treat it as well.

What are the benefits the customer expects, desires or surprise about.

But it is still the most common approach to hypothesis testing so it's important to understand it as we move forward.

Whereas in contrast if I set theta equals say 0, 0, then this hypothesis is predicting zeroes on everything the same, theta 0 equals 0, theta 1 equals 0 and

less a flat, constant straight line.