I want to know why statistics is important in psychology and education?
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Most times statistics are used in psychology to measure whether the results of an experiment shows genuinely "significant" differences within the results, or whether all of the results fit within a single range.\n\nFor example, there have been studies which "appear" to show that boys' and girls' academic performance goes in non-synchronous waves.\n\nIf you measured the performance of all the pupils in a school in a certain year in a certain subject you could tell (using chi square, for example) whether the performance of the boys (as a group) was statistically different from the performance of the girls (as a group), or whether the performance of all the students in that year, in that subject, fell within the same "range".\n\nIf there is a significant difference you can use "standard deviations" as a measure of just how big the difference is.\n\n(I don't have any URLs on hand, but you can look up "statistical significance" and "standard deviations" online.)
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Statistics help give scientists and socilogists generalities about society or people. While individuals are unique groups of people tend to follow predictable patterns of behavior. IQ is a perfect example. Your Intelegence Quotiant (IQ) is basically the age you test at divided by your actual age. So a 10 year old who tests to an average 12 year year old has an IQ of 120. Now when you study the IQ's of a large group of people they tend to fall in a bell curve. For example most people score 100, so the highest number of people are average. the farther you get from 100 the fewer people represent that score. So there are more people who score 100 than score 120. But there are even fewer people who score 140 than 120.\nSo statistics help teachers and educational researchers develop learning theories that will be the most effective to the largest number of people, but also help them develpo strategies that will best impact people who score signifigantly higher or lower on the IQ test. IQ is not the only example of how statistics help in education, but it is the most known.
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Also, don't forget the huge field of use for statistics in botany - probability of measurements on one plant being significantly more or less than on another plant. And some plants show an architecture that is 4-sided (e.g. the mint family), while others show some other arrangement not based on 4 sides.
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The value of textual statistics is now widely acknowledged in many branches of the social sciences, reflecting the fact that there are few fields of research in which the text is not a major element for analysis.\n\nThe statistical processing may be of responses to open questions, interviews, texts and even individual itineraries. The procedures are numerous and can be adapted to different kinds of material. The aim in the present article is to give a broad overview of the various applications of these methods, ranging from the most traditional to the most recent, and focusing on both the methodology used and the results obtained.
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Broad question! Focusing it would help us answer better.\n\nReally basic stats would do things like tally and sum, average, find the median of the subjects you are testing.\n\nOnce you have those descriptive statistics, you can do things like compare outcomes between groups. Suppose you have two samples of people. One group has a mean life expectancy X. The other has mean life expectancy Y. To determine whether X and Y are significantly different from each other, you could do a Student t-test to determine whether the difference in values of X and Y are truly significant, or differ only by chance.\n\nthat's just one example. there are tons more!
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Teaching graduate students the proper ways to analyze data statistically is one of the most difficult things- It isnt interesting to them, it's hard to grasp, and there are rules for variance, independent and dependent variables, sample populations and distribution, even and uneven sampling comparisons..on and on.
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This Electronic Statistics Textbook offers training in the understanding and application of statistics. \n\nExploratory Data Analysis is also a good site\n\n\navailable at the site below
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Descriptive Statistics do no intend to "fit" a distribution on the data or to predict new observations given the data.\nInstead, it pretends to "describe" the data in terms of its central tendency measures (mean, median, etc.) as well as dispersion statistics (variance,  rank, inter-quartile rank, etc.), bias statistics, etc.\nSummaries like histograms are also a good example of descriptive statistics.
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Try this website for help with your statistics homework:\n\nhttp://www.statsoft.com/textbook/stathome.html
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Statistics is an useful tool for many fields including Nursing.   The no. of cases of a particular can be studied which adds to the experience.  The percentage levels of cure and the allied information helps to know the importance of attending to a patient fast and also deciding the specific intervals.   though Doctors do this, a knowledge will help to perform effieciently.\nVR
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That means a survey of a population of similar cases to find out what percentage of cases exhibit one characteristic versus another. It's a statistical kind of attempt to find out what the average is and how much different cases might deviate from the average case. In mathematical statistics they refer to these parameters of the population as the mean and standard deviation.
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Biostatistics is the application of statistical techniques to scientific research in health-related fields, including medicine, biology, and public health, and the development of new tools to study these areas. Since the beginning of the twentieth century, the field of biostatistics has become an indispensable tool in improving health and reducing illness.\n\nBiostatisticians play essential roles in designing studies, analyzing data and creating methods to attack research problems as diverse as the determination of major risk factors for heart disease, lung disease and cancer; \nthe testing of new drugs to combat AIDS; \nthe evaluation of potential environmental factors harmful to human health, such as tobacco smoke, asbestos or pollutants. \n\nI hope some of this is of some help.  It was a  new area for me to learn about!!  Thanks for taking me there!
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statistics describes real life with numbers. \nit is one thing to say: "there is discrimination", and another "females earn 20% less than males on average, but the gap had shrunk from 1960-s when it was 35%"
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Everywhere. Statistics as a science is, generally speaking, the art of using samples to estimate the truth about the whole. SInce we are always trying to figure out answers about the world, predicting the future and understanding the past - like weather patterns, human behavior, lottery results, health outcomes etc... we use statistics. \n\nFor example: if we want to know how popular the president is we can do the following:\n1. Ask everyone in the US what they think of the president.\n2. Take a sample of people and use their answer as a "good guess" regarding how the rest of the people would have answered.\n\nOption 1 would take wayyyyyy too long. Option 2, if executed properly, could get a pretty close guess as to the % of people who liked/didn't like the president. SInce we are never 100$ sure about our guesses in statistics, we always have a margin of error (in surveys they say + or - 3% for instance. That's because the answer is based on a statistical guess, not every person in the US answering).
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I think statistics has a higher chance of being relevant. It's usual to be able to analyze studies in any subject.
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Statistics started out as a study of chance and the odds of games. \n\nThe original use for statistics was in predicting chance events. Jacques Bernoulli (1654-1705) wrote "The Art of Conjecture" which is the art of evaluating as exactly as possible the probabilities of things. \n\nGerolamo Cardana (1501-1576) Wrote the first book on probability, 'Liber de Ludo Aleae' which is about games of chance.\n\nRene Descartes (1596-1650) Believed that the universe had a mathematical structure. Much of his philosophy lies in that base. Although his stuff is more towards algebra than statsistics per se.\n\nRonald Fisher (1890-1962) In 1922 he gave a new definition of statistics. Its purpose was the reduction of data and he identified three fundamental problems.
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Psychology is the study of how the mind works. The mind has a very basic method of coping with stress, collecting data, retrieving data, and forming plans and simulations. Everyone starts out in life with a very "generic" method of doing things as children. In normal circumstances the mind will continue to form in a manner that is predictable for psychologists and psychiatrists to study. This is the basis for psychology. However, sometimes events occur within a person's life that aren't normal or they have diseases or deformities of the brain that alter a person's development in semi-predictable to nearly random ways. This is called abnormal psychology. \n\nNow with that all aside, I can explain how all of that correlates to your issues at work. Once a psychologists understands how you think, feel, cope with stress, remember things, and try to form solutions to problems, they can then figure out how and why things at work are bothering you. Based upon how you think, they can help formulate a plan to help you cope and/or solve your problems at work. Whatever plan they come up with will be tailored to you especially and much more likely to work. This plan may involve solving a one-time problem, or it might be plan that you can use over and over again in many different scenarios.