Statistics

There are two major alternative sampling plans:

T score was originally given to a type of normalized score based on a group of unselected pre-adolescents. Notwithstanding, it has come to refer to any normally distributed standard scores that has a mean of 50 and a standard deviation of 10.

L F C

A frequency counter is a type of electrical component frequently used by technicians. Its main purpose is to measure high frequencies.

the metric system.

or international system of units

Triskaidecagon

Brachiosaurus have homes in Africa, and Europe

7.5 m.

It is a simple question, but sometimes simple questions do not have simple answers.

I have included two related links which I feel are very helpful. Don't be worried if you don't understand much of the math in the second link. You may find less mathematical explanations by searching the internet for "hypothesis testing"

You asked this both in science and statistics. You know sometimes the same word can have two meanings. Hypothesis testing is one of them. I will explain why we must test hypotheses in science, and what it means to test them in statistics.

In science, a hypothesis is a speculative idea or explanation of a phenomena. Evidence or data is collected in an unbiased manner as possible to either prove it or disprove it. But how much data or evidence do we need? Sometimes, our hypothesis becomes a theory, a reasonable explanation that seems to fit circumstances or events, that will help us make decisions. As more observations seem to support the theory, we consider it to be valid or truthful theory. Many, for example, consider global warming to be a valid theory.

Now, for the usage in statistics. Hypothesis testing is a statistical method. Hypothesis testing tells me if I have sufficient data to draw a conclusion, given a certain level of significance.

I will give you an example:

I have gathered some data and calculated a statistics on smoking. I found in my sample more women smoked than men. But, of course I didn't survey everyone, so there is a chance that my data has error in it, and perhaps I really don't have the necessary support to make this statement about everyone (the general population). So, I use a statistical test, with one hypothesis contrary to what my data suggests, that women and men smoke equally, which we call the null hypothesis. Now, I have a second hypotheis which we call the alternative hypothesis, which is that women smoke more than men. To complete the test, I need to include an "alpha factor" or the level of significance. I can with this factor, make it very easy to disprove the null hypothesis or very difficult. I generally use this factor to make the criteria for choosing between two hypothesis consistent.

This is a statement, not a question. Please ask again using words that make it clear what you what to know.

About 13million,

24

13

TRUE

lick your poo

Thrice means three times as many. If you have two green balls, it would mean you have six red balls.

166 / 4 = 41.5

166 / 6 = 27.66

i am pretty show the median means the average and to work that out you do 53 + 54 and divide the result by 2 (the amount of number there)

5,040. There is no smaller nor larger answer because of the communitive property of multipication. 2*3*4=24 3*4*2=24 also.

The variance of 5 9 8 9 9 = 3

you get a range and put all the numbers in their correct range and those together

I will presume that you are using the space of integers (as there are in infinite number of real or even rational numbers between 1 and 15).

There are 15 integers on the interval of [1,15] and we want to find all possible combinations of 6 numbers from this set.

We use a combination, 6C15= 15! / (6! * (15 - 6)!) = 15! / (6! * 9!)

If you do not have a calculator which does factorials or combinations, then you can do some cancellations to make the computation a little easier:

15! = 15 * 14 * 13 * 12 * 11 * 10 * 9!

so we can cancel the 9!, which leaves us with:

15 * 14 * 13 * 12 * 11 * 10 / 6!

This is still going to involve the multiplication and division of very large numbers, so I took the pansy route and just used a calculator and got:

5,005 different possible combinations.

there are 10 possibilities for the first spot, 9 for the second, 8 for the third

10x9x8=720 combinations

Zillion is a made-up word. There is no such number.

17.8

For any given value, a cumulative frequency table of chart shows the number of observations which are less than or equal to that value.