what mean the SPSS IN STATISTICS?
361062
SPSS is the Statistical Package for Social Sciences. It is a software program which can help you to analyze data for Social Science research.  It's really useful for Masters and PhD level research.
605000
The mean describes the average score, the SD describes the shape and range of the normal distribution, or bell curve. \nWith this information, we can say the following:\nAbout 68% of test-takers got between 65% and 73%- a very tight grouping (the area within 1 SD).  Approximately 95% of people got between 61% and 77% (2 SD), and about 98-99% got between 57% and 81% (a range of 3 standard deviations).
579180
if you're talking about in statistics, a convenience sample would be asking the first 100 people who walk past you on the street the same question. it tends to create biased results.
109529
The standard deviation tells you how far away something is from the average.  You can do a standard deviation on any set of data, however most people are familiar with the Normal Distribution.
662293
You might be looking for Regression analysis.\nThis is the statistical technique used to look for correlations between variables.
276725
Engineering Statistics is based on the fact that everything can be explained as either part of a larger population or it is not.\nIf it is part of the population, the hypothesis test is true. If it is not part of the population the hypothesis is false and there must be an assignable cause.\n\nEngineering is always looking for inprovement. Using stats helps to explain variables and interactions affecting the outcome of an event.\n\nThere are other tools to accomplish this task, i.e. Run Charts, Scatter Diagrams, Taguchi Experiments, Design of Experiments, XbarR, Value Mapping ect.\n\nRead up on Deming, Joiner, Juran\n\nLook at the following Gurus list:
935234
"In probability and statistics, the standard deviation of a probability distribution, random variable, or population or multiset of values is defined as the square root of the variance.\n\nThe standard deviation is measured in the same units as the values of the population. For a population of distances in meters, the standard deviation is also measured in meters, whereas the variance is measured in square meters."\n\n\nIn essence, standard deviation is used for categorizing groups.\nFor example, the average IQ is 100, the standard deviation to the left would be 85, and deviation to the right would be 115. Two left standard deviations would be 60, two right standard deviations would be 130.\nSame applies to SAT scores, statistics, polls, etc.
1102605
Oh.... wait till I get home! Than I will edit this and give you the answer you need. I am at work now, so I do not have SPSS to rely on....
655920
The standard deviation is the square root of the variance. Now, the variance is the "average squared difference (distance) of each observation from the mean".\n \nLets think about it. You want a measure of how dispersed the data is, right? Well, suppose you have heights for your data and your trying to compare two groups. For example, you want to know if the height´s of New Yorkers vary more or less than the heights of Floridians. You are NOT trying to see which are taller.\n \nSo you can calculate the average height of each group and then see haw far away from this average each individual height is and then calculate the average distance from the average height. If everyone had the same height, the average distance would be ZERO, reflecting that the population´s height is very CONCENTRATED around its average.\n \nBut why do you use the squared difference? Because if you were to calculate the average of "x - average(x)" you would always get zero, so by squaring and taking the square, you always get a positive number (the distance is always positive).\n \nGot it?
1097029
The Trend Analysis module allows you to plot aggregated response data over time. This is especially valuable, if you are conducting a long running survey and would like to measure differences in perception and responses over time.\n\nThe following data points can be measured (Y-Axis)\n\n   1. Mean and Mean Percentile\n   2. Standard Deviation and Variance\n\nThe "Time Factor" (X-Axis) can have the following granularity\n\n   1. Daily\n   2. Weekly\n   3. Monthly\n   4. Quarterly (Jan-Mar, Apr-Jun, Jul-Sept, Oct-Dec)\n   5. Yearly
948494
The correct term is "order statistic" which is the set of values arranged in order of magnitude.  Also a set of successive components with identical values though is called a "run".\n\nProgression is term used in sequences and series.
959594
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.
246517
(m)\n\nBusiness statistics is the science of good decision making in the face of uncertainty and is used in many disciplines such as financial analysis, econometrics, auditing, production and operations including services improvement, and marketing research. These sources feature regular repetitive publication of series of data. This makes the topic of time series especially important for business statistics. It is also a branch of applied statistics working mostly on data collected as a by-product of doing business or by government agencies. It provides knowledge and skills to interpret and use statistical techniques in a variety of business applications. A typical business statistics course is intended for business majors, and covers statistical study, descriptive statistics (collection, description, analysis, and summary of data), probability, and the binomial and normal distributions, test of hypotheses and confidence intervals, linear regression, and correlation.
101856
Standard deviation is a measure of the variability in a sample.  A small standard deviation means that most observations are clost to the mean (average).  The standard deviation is the square root of the variance.  The variance is calculated by taking the difference between each observation and the mean, squaring it, summing for all observations, then dividing by the number of observations less one.\n\nwith m = mean and X1 ... Xn being the observations:\n\nvariance: V = [(X1-m)^2 + (X2-m)^2 ... + (Xn-m)^2] / (n-1)\nstandard deviation: sigma = sqrt(V)
699932
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
108275
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%"
671142
Statistical programming language ... runs on PC, Unix and Mainframe (similar to SAS).\n\nSPSS = Statistical Package for the Social Sciences.\n\nSAS (industry leader) ... Statistical Application Software.