what is descriptive statistics?
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Descriptive statistics is a branch of statistics that denotes any of the many techniques used to summarize a set of data. In a sense, we are using the data on members of a set to describe the set. The techniques are commonly classified as:\n\n- Graphical description in which we use graphs to summarize data. \n- Tabular description in which we use tables to summarize data. \n- Summary statistics in which we calculate certain values to summarize data. \n\nIn general, statistical data can be described as a list of subjects or units and the data associated with each of them. Although most research uses many data types for each unit, we will limit ourselves to just one data item each for this simple introduction.\n\nWe have two objectives for our summary:\n\n- We want to choose a statistic that shows how different units seem similar. Statistical textbooks call the solution to this objective, a measure of central tendency. \n- We want to choose another statistic that shows how they differ. This kind of statistic is often called a measure of statistical variability. \n\nWhen we are summarizing a quantity like length or weight or age, it is common to answer the first question with the arithmetic mean, the median, or the mode. Sometimes, we choose specific values from the cumulative distribution function called quantiles.\n\nThe most common measures of variability for quantitative data are the variance; its square root, the standard deviation; the range; interquartile range; and the absolute deviation.\n\nSteps in descriptive statistics\n- Collect data \n- Classify data \n- Summarize data \n- Present data \n- Proceed to inferential statistics if there is enough data to draw a conclusion.
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i wish i could help you...it looks like you need a stats book...i was tryin to find this website i used to use in my stats class...but of course when you are lookin for somethin u cant find it...sorry about that
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Actually, statistics books are notorious for being written in such a way that no normal human can understand them. The trick, generally, is trying to find a way to relate the problems to something you're interested in. For example, if you like basketball: one possible sampling distribution would be the number of free throws individual players make over a season. You could take a sample of, say, 10 of the players and find the mean and standard deviation. You could compute a 95% confidence interval with that information, which would allow you to say that you're 95% confident that the average number of free throws made by NBA players in a season will be between this number and that number. You could find the probability that a given player would make at least a certain number of free throws in a season by finding the z-score and looking it up on the normal probability distribution table, etc. If you're really struggling with the terminology, I recommend visiting your math help center on campus (most of them have one), or contacting a tutor.
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what are inferential statistics?
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A boxplot is just a way of squeezing the five-number summary of a set of data into a compact 2-dimensional diagram. See the source for details.
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1.   Detailed, precise description of a place or region.\n   2. Graphic representation of the surface features of a place or region on a map, indicating their relative positions and elevations.\n   3. A description or an analysis of a structured entity, showing the relations among its components: In the topography of the economy, several depressed areas are revealed.\n   4.\n         1. The surface features of a place or region.\n         2. The surface features of an object: The topography of a crystal.\n   5. The surveying of the features of a place or region.\n   6. The study or description of an anatomical region or part.
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Here from the horses mouth so to speak.  Stats Can is the leading Canadian authority on statistics and here is their page on it for teachers.  \n\nThis should answer any questions you have.
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A frequency distribution is an arrangement of values that shows the number of times a given score or group of scores occurs. The frequency distribution is done by class, such as 1 - 10, 11 - 20, 21 - 30 etc. An open ended class would be, say, 10 < (meaning any value larger than 10).\n\nHope this helps!
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Yes, for scientists, statisticians, social researchers,statistics is a critical field.  In addition, statistics for laypeople, or non-experts, is a very powerful way to explain population trends and explain things such as the bell-shped distribution that most characteristics fall under, and the concept of statistically significant difference.
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It is how the values (data samples) are laid out over the numbers in your population.  I'm assuming you are referring to the empirical distribution function, which is a step function showing, at each X, for example, how many data points are less than X.\n\nTry this website for more definitions:\nhttp://www.stat.berkeley.edu/~stark/SticiGui/Text/gloss.htm
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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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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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Your question is unclear.\n\nInferential statistics refers to a branch of statistics where *inferences* are made, that is, in an inductive fashion.\n\nProportion, and percentage, are two sides of the same coin. Naturally, proportion is preferred - why multiply by 100, and add a "%" sign, when it's more parsimonious otherwise?
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They're descriptive or adjectives.
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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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Fluorescence Intensity Statistics – Statistics used in measurement of the fluorescence.  Include Arithmetic and Geometric Mean, median, peak channel or mode. \n\narithmetic mean is the sum  of values divided by the number of values.\n\ngeometric mean is the nth root (whiere n is the number of values) of the product of the values.\n\nMedium is the  middle (half the values are above and half below) value.\n\nThe peak channel is the channel with the most values.
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I believe this means, first of all, to write up the statistics in kind of an essay (textual) rather than tabular format. In other words, describe what the data in the statistics represents, give the all-around total numbers, and then using the demographic information-age, sex, ethnicity, socio-economic status-whatever you have, break down the numbers from the totals showing how they relate to and between the demographic sub-groups.