Probability

First few triangular numbers: 0, 1, 3, 6, 10, 15, 21, 28

Numbers that can be thrown with four dice:

4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24

Which of these numbers that are triangular: 6, 10, 15, 21

None of these is prime.

It means how likely is it to rain.

For the example that you gave, it is 50% heads, 50% tails, assuming a fair coin and a fair toss. For other activities, the probabilites vary, for example, tossing a six-sided die is 1/6 - 1, 1/6 - 2, 1/6 - 3, 1/6 - 4, 1/6 - 5, 1/6 - 6, assuming a fair die and a fair toss.

A possible outcome is an element of the outcome space. All possible outcomes make up the outcome space.

The 1s orbital.

Assuming traditional cubic dice, the sample space consists of 216 points.

Sometimes it is possible to define a model for a trial or experiment and then use mathematical or scientific rules to determine the probability of the possible outcomes. Such a procedure gives theoretical probabilities.

One.

The punnet square gives the results as probable because is it similar to rolling dice. If you have a die with four sides, when you roll it, the chance is 1 out of 4 that a certain number will show. You could roll it 20 times and it COULD show the same number 20 times. But the probability is 1 in 4 each roll. The Punnet square is the same.

If

H = heads and T = Tails, and

if the four sided die has values A and B,

the 8 possible outcomes are:

HA, HB, HC, HD, TA, TB, TC and TD.

5 (2, 4, 6, 8, 10) times 2 in 52, or 10 in 52, or 5 in 26, or about 0.1923.

Pi is relevant to statistics students as it (for example) appears in the well known normal distribution probability density function.

Yes

Since the chance of lanind on either heads or tails in 50% or 1/2 every time the coin is flipped, all you have to do is multiply 1/2 x 1/2 because you are flipping twice. That is, 1/2 chance you will get heads the first time, and then 1/2 you will tails the next time. The chances never change on a coin. So your answer is 1/4 or 25% chance of that even occuring.

Yes it does.

half not including the jokers

Mean is the average, sum total divided by total number of data entries.

Standard deviation is the square root of the sum total of the data values divided by the total number of data values.

The standard normal distribution is a distribution that closely resembles a bell curve.

The probability of engineering is 1. It exists and so it is a certainty that is exists.

A tree diagram is the way to identify and count all possible outcomes.

How else are you meant to spell it!

cant answer this question without more information....probability requires a ratio.

Not sure about the same suite, but to ensure 4 cards of the same suit, 13 cards will suffice.

A normal distribution can have any value for its mean and any positive value for its variance.

A standard normal distribution has mean 0 and variance 1.

1/2.

A statistical organisation does comparing probability.

A statistical organisation does comparing probability.

A statistical organisation does comparing probability.

A statistical organisation does comparing probability.