Fee?

So Pete will manage this and he will still take a management fee

Right, so you can get your 5 .

For facilitating.

Three percent of your commission from here on out.

This tells you the height of the normal distribution function.

Eight hundred thousand in commission dollars.

Mean value of the standard logarithmic distribution

Is there a handling charge?

How much is the commission?

How much is the handling charge?

CA But if it's a 3,000 rupee, 70 dollar bribe, what fee would you have to charge, and can you actually make the business work?

So they get it off their hands.

Standard deviation of the standard logarithmic distribution

And so because it's not actively managed, the argument would be that they don't do as much as managing fees.

And so to actually calculate this, what I do is I take the cumulative distribution function of this point and I subtract from that the cumulative distribution function of that point.

We charge a commission of 3 .

And in general, ETF also have lower fees.

So they will have lower fees.

Now all that's left to do is settle my fee.

Yeah, well, it falls under my premiumservices package, but you can afford that.

Not so fast, say other people.

Value to which the standard normal distribution is calculated

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

And the way you get it is with the cumulative distribution function.

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

Mu is the mean. Sigma squared is called the variance.

Another type of revenue strategy could be an intermediation fee.

Did i say it right?

a function has been defined called the cumuluative distribution function that is a useful tool for figuring out this area.

Probability value for which the standard logarithmic distribution is to be calculated

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Is there a service charge for that?

That's what Didrikson calls ita vig? Yeah.

What was our deal before? Seventeen percent. That's a shade high.

For this specific example, we get back the uniform distribution.

To explain how this works, I have to talk about high dimesional gaussians.

So you kind of get the best of both worlds.

So the mode is a useful statistic if your distribution of data is what is called multimodal.

So my very first example will be the following.

So first let's revisit this normal distribution.

I mean,he charges a heavy vig,but that's all right.

So what I did is I evaluated the cumulative distribution function at one to be right there.

This is the nature. It cannot be tainted intrinsically with hatred or jealousy because then, if it was always there