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The cause of skewed data distributions are extreme values, also know as outliers. For example imagine taking the weights of people you see on the street. If you have 9 cheerleaders' weights and then the weight of a sumo wrestler mixed into the averages this skews the data. This makes the mean much higher because of the one extreme value. Instead of the data being distributed normally, it is distributed with a positive skew. If there is a really small extreme value instead of a really large one, then the data has a negative skew. This could be the heights of people on the street, but one of them would be a midget. The mean is made lower by that one extreme value.
Perhaps, little person is a more politically correct term in our day.
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Is it true some normal probability distributions are positively skewed?
No. The Normal distribution is symmetric: skewness = 0.
What is the math definition of experimental?
The word "experimental" is usually used to describe data that have come from an actual test or experiment. These data are opposite to "theoretical" data, which are only educated guesses at what the data should look like. In statistics, theoretical probability is used a lot. For example, if I flip a coin, in theory, it would land on each side half of the time. Perform some trials, however, and this percentage may be skewed. The experimental data that you collect probably wouldn't exactly match the theoretical probability.
All graphs must have what?
Some data.
When some arithmetic or logical operations are performed on data it is called?
I believe the term "data processing" is appropriate in this case.
What does distribution of data mean?
distribution of data is the way that you show or "distribute" your data. It just means how you show your work.In some cases it means how you put out or spread out your work like in math.
Is it true some normal probability distributions are positively skewed?
No. The Normal distribution is symmetric: skewness = 0.
How to identify the the shape of probability distribution?
You cannot. There are hundreds of different distributions. The shapes of the distributions depend on their parameters so that the same distribution can be symmetric when the parameters have some specific value, but is highly skewed - in either direction - for other values.
What are some benefits of representing data sets using frequency distributions?
Organizing the data into a frequency distribution can make patterns within the data more evident.
Which is the most stable measure of central tendency?
Stability means that there will be less variation between random samples drawn on the same population. With categorical data, you may not have a choice, the mode is the only measure of central tendency that will be meaningful. With measureable, numerical data, the mean may be the only meaningful measure of central tendency, even though the median may show less variation. Some data may be assumed to have a skewed distribution, such as the price of homes, or incomes. The more stable and meaningful value for skewed distributions is the median, as a few high numbers can have a large impact on the estimate. See related links. You can find more information on central tendency by doing a search on the internet.
Why do data distributions take a particular shape?
If you plot data they must take some shape (or another)! Data distributions can take all kinds of shapes. The only constraints are thatthey cannot be negative andthe integral (sum) over all possible values is 1.The shapes can be flat (uniform distribution), symmetric (uniform or Gaussian), asymmetric with one peak somewhere in the middle (Poisson), asymmetric with a peak at an end (exponential). These are examples of different shapes that are attained by common continuous data distributions.
What does probalility distribution mean?
In parametric statistical analysis we always have some probability distributions such as Normal, Binomial, Poisson uniform etc.In statistics we always work with data. So Probability distribution means "from which distribution the data are?
Why some Linux distributions not free?
blah blah blah
How does distribution of scores affect selection of statistical procedures?
There are two broad cases: either you know the distribution or you don't. Distribution known: Procedures are known for many, many situations. In some cases, it's possible to transform given data to fit available procedures. In other situations, it might be necessary to create new procedures. Distribution unknown: Often a procedure that was developed for known distributions has been shown to work for distributions that are only similar to the known distributions. Recourse may alternatively be had to the so-called nonparametric statistics, that make minimal assumptions about distributions.
Does SSH1 run on some Linux distributions?
SSH1 can technically be used on virtually all distributions, yes. It is not, however, in wide use due to certain security vulnerabilities.
Is a computer code introduced into a computer which causes problems like destroying data?
Malwares, computer viruses and worms are some of the things that when introduced to a computer will destroy the data.
How skewness can effect on analysis of a study?
If the mean is greater than mode the distribution is positively skewed.if the mean is less than mode the distribution is negatively skewed.if the mean is greater than median the distribution is positively skewed.if the mean is less than median the distribution is negatively skewed. 18-226
What other words could you used instead of 'Twisted'?
Some other words are warped, skewed, or bent.
