what kind of statisical techniques is this?
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they are all part of a survey technique to improve the chances of getting a complete result from a sample.\nRandomized is when you randomly select the people or subjects that will take part in your survey. The subjects chosen are from a big population that you want to know about, and the subjects that you randomly picked are called a sample.\nFor double-blind, imagine a company wants to test their new wine, so they invited some professional wine drinker to test out many different unlabeled wines along with their new wine, and have the wine drinker describe the taste of each wine. A person will accompany the drinkers and present the different wines to them, but that person will not know which wine is which, so this prevents that person from giving hints to the drinkers and influence their responses. This is a double-blind technique in which the person who accompanies the subjects and helps the subjects will now know what is being tested.\nPlacebo-controlled clinical trial is when you tests if a new pill or medical treatment is working or not. For example, a company develops a new pill to lower the acid level of the stomach. To test it out, they will assign some doctors to give to their patients who suffer from this a pill. Half of the doctors will receive the new pill that the company developed, while the other half will receive a fake pill, or also called a placebo, that tastes the same as the new pill except it doesn't do anything to cure the illness. Taking the placebo pill would make the patients believe that they are taking something that will cure them, thus making them feel better. If the results were that the number of people who were cured by the placebo the same as the ones who were cured by the new pill, then that means that the new pill would not be any better than a placebo.
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What type of question is this?
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http://en.wikipedia.org/wiki/Mean_%28statistics%29\n\nThis is a link from Wikipedia. It shows lots of examples along with explanations.
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what statistical informations can be extracted from difference between actual and estimate data?and how?
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what are inferential statistics?
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You might try DAP. You can find it here along with a lot of other free statistical software.\nhttp://members.aol.com/johnp71/javasta2.html
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I'm assuming that you mean introductory statistics.  This online textbook is very good, it makes good use of hyperlinks and also provides exercises and answers for each chapter.  It also has links to useful sites and books for the various topics.  \nhttp://davidmlane.com/hyperstat/\nHope this is helpful :-)
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Go to yahoo and it will help you do this homework  put in define \nstatistic and a parameter and it will tell you the difference.
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check out awstats or http://google.com/analytics
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In general, what statistics does is it tells us what is going on by giving us measurements. These measurements can then be used to evaluate things.\n\nMedicine: We use statistics to determine how effective treatments are and whether or not they are safe. Say we have a new cancer drug and want to know if it is both safe and effective. We may test it out by undergoing an experimental procedure. We give one set of randomly chosen patients a "placebo" (a fake drug) and another the real one. After a certain amount of time, we try to see if there is a difference between the two groups. Before any drug gets to the human testing stage, it must first be evaluated on non-human subjects, such as in laboratories and on lab animals. \nEducation: We may want to know how many students are passing and failing, or how effective a teaching system is. Say you want to improve test scores and you have a new teaching system. You administer this to a group of random students- much like with a new drug- and try to determine if there are any differences between the treatment ("testing") group and the control (non-testing) group. If you cannot conduct an experiment, you simply try to observe a lot of students and try to see if the ones who are doing better also happen to be using the new teaching system.\n\n\nThe basic procedures of testing are the same throughout each of the fields. You can either conduct actual experiments, where you determine who is in your testing and control groups, or you can simply observe a large number of subjects and try to notice patterns or differences. Here are some other examples.\n\nMilitary: test the effectiveness of a new weapons system. \nPsychology: Statistics grew out of te desire by psychologists to measure things like intelligence and human behavior. Today, many psychologists are branching into biology, where they are testing hormone activity in the brain.\nSociology: We may want to determine the connection between handgun laws and violence.\n\nAt all these levels we try to understand the world by breaking it down into smaller components. We then try to find the patterns (statisticians call these "correlations"). For example, we might determine that a new brand of fertilizer is correlated with larger crops (agriculture). \n\nBusiness-people are concerned with statistics that reveal how wella product or service is selling. Imagine that you are a huge corporation that sells pop soda, and you have a new TV advertisement that markets the soda. Is the advertisement effective? You may want to gather statistics about how consumers view the advertisement (either through directly asking them- such as through a poll or a panel where people sit down and answer questions face-to-face) or by observing the change in sales.  If your sales grow drammatically right after you introduce the new ad, there is good reason to believe that part of that has to do with the ad itself.\n\nKeep in mind that researchers always try to not immediately assume that correlation means causation. That is, just because two things tend to go together does not mean that either one causes the other. The only ways we can make sure that one thing does cause the other (for example, a good drug may "cause" a person to become healthier) is to rule out other possibilities. When we gather a lot of data ("statistics") about something, it helps us eliminate alternative possibilities. For example, when we administer a new drug to a treatment group, we want to make sure that they are not already taking a medication that may interfere with the outcome. Without doing this, we might think that the effectiveness of our drug comes entirely from it. In a sense, the "control" helps us remove some of that uncertainty, because it keeps everything but the treatment the same.
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most statistics follow a pattern, whether it be linear, quadratic, or whatever. Once you have enough data to establish a pattern, you can accurately predict the remainder of the line.\n\nFor instance, you have a line that looks to be half a parabola. Once it starts going back up, you can be pretty certain of where it's going to be.
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You might be looking for Regression analysis.\nThis is the statistical technique used to look for correlations between variables.
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you may want to search the net for a statistics type calculator.
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and where did you get these statistics?
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See the link below to explain methods.
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Quantitative methodologies... statistical analysis?   How many pages allowed on here... there are books and books about it... try reading literature on the above... infinite (well almost!) sources available on line, at the library and in book shops
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The simplest way is spectography. if you are speaking of a breathalizer test it is via conductivity.