Probability

I learned it in 4th grade.

It is the lower case Greek letter sigma. I cannot show it here because this browser converts it to the Roman letter s, but the Greek one looks like an o with a tilde attached to its top.

A larger random sample will always give a better estimate of a population parameter than a smaller random sample.

It is not necessary that all symetric distribution may be normal.

The variance is standard deviation squared, or, in other terms, the standard deviation is the square root of the variance. In many cases, this means that the variance is bigger than the standard deviation - but not always, it depends on the specific values.

The term probability is related to genetics because they both give guesses about how something that might be the outcome of something

When you throw a die, there are six possibilities. The probability of a number from 1 to 6 is 1/6. This is classical probability. Compare this with empirical probability. If you throw a die 100 times and obtain 30 sixes, the probability of obtaining a 6 is 30/100 or 0.3. Empirical probabilities change whereas classical probability doesn't.

24

Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal.

The uniform distribution can be discrete or continuous.

If a 31-day month starts on a Friday, Saturday or Sunday it will have 5 Sundays; if not it will have 4. So the probability is 3/7.

9, you just have to multiply for problems like this

No.

Probability is the likelihood that some particular event will occur. It is expressed as a number between 0 and 1, where 0 means the event will not occur, and 1 means the event will occur. Values in between 0 and 1 indicate the relative likelihood, i.e. "probability", that the event will occur.

For instance, the probability of tossing heads on a fair coin toss is 0.5, the probability of rolling a 3 on a standard die is 1 in 6, or about 0.1667, and the probability of drawing an ace of spades from a standard deck of 52 cards is 1 in 52 or about 0.01923.

Assuming the spinner has only a finite number of colours, the probability is 0. If there are n colours then on the (n+1)th spin the spinner cannot land on a different colour.

It is a bit difficult to be sure because, thanks to limitations of the browser used for posting questions, there are no symbols between the numbers in b and c. However, if we assume that the missing symbols are the "divided by" symbol (since nothing else makes sense in the context of this question), then the answer is c.

4/3 is greater than 1 and a probability cannot be greater than 1.

The statement is false. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.

The question is incorrect since the mean of 45 57 0 and 3 is not 30. And the value of 45 is 45, whatever its mean when combined with other numbers. Similarly, the value of 57 is 57, whatever its mean when combined with other numbers; etc.

The probability of rolling the same number on five dice is (1/6)4, or about 0.0007716.

2/4

It is 3/8.

The answer depends on the underlying variance (standard deviation) in the population, the size of the sample and the procedure used to select the sample.

it all depends on the length the width and the height. if you know those then just add them all up and you will have the volume.

7/8

It is a 75% chance that the seeds will be round.