And of the number of equally possibilities, I care about the number that contain my event right here. Interpreting results of simulations. And what I want to do– and we know, of course, that there are– and I’m assuming this is a fair die. And so there are six equally likely possibilities. I’ll assume it’s a quarter of some kind. Well, I have six equally likely possibilities. Statistical significance of experiment.

What percentage of those would give me heads? And I’m just talking about one roll of the die. What is the probability of rolling a 1 or a 6? Well, in any roll of the die, I can only get a 2 or a 3. So one way to think about it, and this is the way that probability tends to be introduced in textbooks, is you say, well, look, how many different, equally likely possibilities are there?

And this is the idea of rolling a die. Now, let’s just apply these same ideas. So number of equally– let me write equally– of equally likely possibilities. What percentage of those would give me heads? So let’s cross this chhemistry right over here. So 3 of the possibilities meet my conditions, meet my constraints. So if I were to ask you, what is the probability given that I’m rolling a fair die– so the experiment is rolling this himework die, what is the probability of getting a 1?

So there’s two possibilities here, two equally likely possibilities.

# Mastering chemistry homework answers chapter 12 – Google Docs

If you take or quarters or pennies, stick them in a big hhomework, shake the box so you’re kind of simultaneously flipping all of the coins, and then count how many of those are going to be heads. It’s asking for some type of way of getting your hands around an event that’s fundamentally random.

I could roll a 1 or I could roll a 6. And the other side, of course, is the tails. Probability, a word that you’ve probably heard a lot of, and you are probably a little bit familiar with it.

The other side right over there is tails. And so you have one side of this coin. So now there are two possibilities that meet my constraints, my conditions.

## Intro to theoretical probability

Coin flips and die rolls. Try to draw George Washington.

So how many equally likely possibilities. Random numbers for experimental probability. In this chemisry, it was heads. And I’m just talking about one roll of the die.

Getting a 2 and a 3 are mutually exclusive events. And that’s the 3. I’ll assume it’s a quarter of some kind.

Statistical significance of experiment. Let’s say that I have a fair coin over here. And cgapter we’re chemisry with probability, at least kind of the basic, this is probably an easier thing to conceptualize. But hopefully, this will give you a little deeper understanding.

And what I want to do– and we know, of course, that there are– and I’m assuming this is a fair die. And so there are six equally likely possibilities. Well, what are the number of equally likely possibilities?

And you probably, just based on that question, have a sense of what probability is asking. Well, I have six equally likely possibilities.

I’m not talking about taking two rolls of this die. We’re assuming that it lands flat. So the probability of this is actually 0.