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In statistics, a frequency distribution is a tabulation of the values that one or more variables take in a sample. Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval, and in this way the table summarizes the distribution of values in the sample.
Univariate frequency tables
Univariate frequency distributions are often presented as lists ordered by quantity showing the number of times each value appears. For example, if 100 people rate a five-point Likert scale assessing their agreement with a statement on a scale on which 1 denotes strong agreement and 5 strong disagreement, the frequency distribution of their responses might look like:
A different tabulation scheme aggregates values into bins such that each bin encompasses a range of values. For example, the heights of the students in a class could be organized into the following frequency table.
A Frequency Distribution shows us a summarized grouping of data divided into mutually exclusive classes and the number of occurrences in a class. It is a way of showing unorganized data e.g. to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc. Some of the graphs that can be used with frequency distributions are histograms, line graphs, bar charts and pie charts. Frequency distributions are used for both qualitative and quantitative data..
Joint frequency distributions
Bivariate joint frequency distributions are often presented as (two-way) contingency tables:
The total row and total column report the marginal frequencies or marginal distribution, while the body of the table reports the joint frequencies.
Managing and operating on frequency tabulated data is much simpler than operation on raw data. There are simple algorithms to calculate median, mean, standard deviation etc. from these tables.
Statistical hypothesis testing is founded on the assessment of differences and similarities between frequency distributions. This assessment involves measures of central tendency or averages, such as the mean and median, and measures of variability or statistical dispersion, such as the standard deviation or variance.
A frequency distribution is said to be skewed when its mean and median are different. The kurtosis of a frequency distribution is the concentration of scores at the mean, or how peaked the distribution appears if depicted graphically—for example, in a histogram. If the distribution is more peaked than the normal distribution it is said to be leptokurtic; if less peaked it is said to be platykurtic.
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Answers:Hydrogen bonds absorb some of energy.
Answers:I'm not sure that you've been correctly informed on what IR excitation generally does. It causes *bonds* to vibrate, but doesn't necessarily cause significant increase in the movement of the whole molecule (translational motion). EMR moves at the speed of light (which varies very slightly depending on the medium). Ultrasound moves at the speed of sound (which varies greatly depending on the medium). Since frequency is a function of wave speed, so you can't strictly use the IR absorption spectrum for a "tuned" excitation of a bond. That doesn't mean that you can't destroy compounds using Ultrasound and (I suppose) the IR spectrum can give you a hint about which molecules are more likely to break apart. I just don't think it'll won't work the way that you envision. There's been some research done to destroy contaminants in water via US - it results in incinerated compounds without raising the bulk water temp (you effectively get pockets of 5000K temps within 25 C water), but the process is cost prohibitive and still has alot of technical problems. Ultrasound needs a efficient tranmission medium. Soil (as opposed to water or oil) is full of voids and cracks that will rob your US wave of energy. If you have to put your US transmited within a few meters (much less a few centimeters) of a IED, I don't know that you've accomplished all that much. Keep at it, though.
Answers:One or two wavenumbers is a very tiny difference! You can have something vary as much as 5-10 wavenumbers sometimes; but anything less than 5 you can consider a sure match.
Answers:I guess you could sort it into intervals. Intervals Frequency 1-10 0 11-20 0 21-30 2 31-40 5 41-50 9 51-60 3 61-70 1