what is a histogram? need explanation and example for a 10 year old?
923101
a histogram is a graphical display showing how often things happen.  Take a look at the Wikipedia article at the link below.  It has a couple of picture examples.
1046168
Not sure if this might help but anyways take a look\n\nPS: Please next time be more specific and let your kid do his own homework..Your son need to learn to do things by his own ....no offense \n\nBasic Science Process Skills \n\n\nObserving - using the senses to gather information about an object or event. Your vocabulary for this lesson:  Qualitative Observation (using the senses) and Quantitative Observation (using exact measurement).\n\nExample: Describing a pencil as yellow.\n\n\n--------------------------------------------------------------------------------\n\nInferring - making an "educated guess" about an object or event based on previously gathered data or information. \n\nExample: Saying that the person who used a pencil made a lot of mistakes because the eraser was well worn.\n\n\n\n--------------------------------------------------------------------------------\n\nMeasuring - using both standard and nonstandard measures or estimates to describe the dimensions of an object or event. \n\n   Example: Using a meter stick to measure the length of a table in centimeters.\n\n\n--------------------------------------------------------------------------------\n\nCommunicating - using words or graphic symbols to describe an action, object or event. \n\nExample: Describing the change in height of a plant over time in writing or through a graph.\n\n\n--------------------------------------------------------------------------------\n\nClassifying - grouping or ordering objects or events into categories based on properties or criteria. \n\nExample: Placing all rocks having certain grain size or hardness into one group.\n\n\n--------------------------------------------------------------------------------\n\nPredicting - stating the outcome of a future event based on a pattern of evidence. \n\nExample: Predicting the height of a plant in two weeks time based on a graph of its growth during the previous four weeks.
972854
No.  A histogram only needs to start where the data starts and end where the data ends, so you don't need to start at y = 0.  Now you do have to start each rectangle on the x-axis though, so x = 0 has to be on your graph.  That way the graph doesn't get distorted.\n\nedit: I don't know if I necessarily agree with that modulo_function.  At any rate, you didn't really answer the question asked.  Some people ask questions here because of a homework assignment or a class that they are taking.  Not answering the question that was asked does not help.
241039
Check this out:\n\nhttp://www.angelfire.com/art2/fractals/lesson2.htm
252184
Well, if you're using Microsoft Office, Excel provides many chart and graphic options.\nStatistical software also provide those functions, but they're really expensive.\nHere's a link for some software. Some are free, and others are shareware or have free demos that might serve you:\nhttp://dmoz.org/Science/Math/Software/Graphing/
571247
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
18353
There are many possibilities, but the one using whole numbers is a pyramid with a square base that is 3cm. on each side and has a height of 10cm.\n\nVolume = (length x width x height)/3
704942
Range is the highest minus the lowest number of your data (in the above example, 15 -1 = 14 would be the range)\nThe mean is the average of all your data\nTo find the median yo have to order all the numbers and the central one is the median, for example, 1 4 5 6 6 7 8 9 11 12 15\n7 is the median because is in the middle.\nThe mode is the one that repeats the most in the serie, in the same example 6 would be the mode...\nThere are some formulas for more complex set of data, if you need them let me know..
601572
Statistics would be a good math course for you to take. It's called "Stats" by students taking the course. The course has histograms and charts and graphs you could use to show your data visually. It also had permutations and factorials good for crunching numbers in the books better. It also has normal bell curve probability.
636881
Here is a full page multiplication chart. Thanks Yahoo!\n\nhttp://www.gtcocalcomp.com/erc/interwritebackgrounds/multiplication_table_complete.jpg
1039490
The mode is the number or event that appears most often in a set of data.  Suppose that the eye colours of the students in the class are blue, blue, blue, brown, brown, brown, brown, green, green.  Then the most common eye colour is brown.  This is the mode.\n\nThe number that all the numbers in a data set cluster equally around is the mean, also commonly called the average.  This is calculated by adding all the numbers together and dividing by the number of numbers.\n\nThe number that comes in the middle of a set of numbers when they are arranged in order is the median. If we had the following set of numbers (4, 4, 4, 8, 9, 10, 10), then the middle number will be the fourth one. This number is 8, so the median of the numbers is 8.  With an even number of values, the median is the average of the two middle numbers.\n\nA mouth is an opening through which an animal takes in food and water.  Mouths can also be used for other tasks, such as communication with humans, but this is the most basic definition.
365486
the whisker on the left side is the lowest number in your set of data, and the one on the right side is the highest number. put the numbers in order from greatest to least and then you can find the boxes. if you have the numbers 12,10,52,1,26,9,45,13,38,36,and 8 for example, you would put them like: 1, 8, 9, 10, 12, 13, 26, 36, 38, 45, 52 then you find the median which is 13 and that is the line that you put in the middle of the graph. next you find the medians of all the numbers on the right of 13 which is 38. this number has a line on the right side of the middle. next you do the same thing for the numbers on the left which would be 9. put this on a number line and youre done!
1078891
The best I can do is give you an example from image processing.  \n\nA bitmap image is row upon row of dots in a grid. Each dot is called a pixel.  \n\nIf I am making an image smaller, I am interpolating it.  Each square grouping of 4 pixels are averaged and the average color is used to fill the area that was previously taken by the 4 pixels.  \n\nIf I am making an image larger.  I am extrapolating on the known data.  Each single pixel is divided into 4 and their colors are "guessed" by examining the colors of the surrounding pixels.\n\nWhere interpolation is absolutely accurate, a reduction of the available data, extrapolation involves considering data that wasn't part of the original equation.
996215
http://www.guidebookgallery.org/articles/thefatherofcomputergraphics\nPlease click the link to know in detail.
1161328
Great chart can be found here:\n\nhttp://en.wikipedia.org/wiki/Comparison_of_graphics_file_formats
270990
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.
1062399
Mean is the average of the data.\nMedian is the middle number (if placed in ascending/descending order)\nMode is the number that appears the most.\n\nExamples:\n\nLet's say you are trying to discover the force of gravity by measuring the time it takes a car to roll down a ramp.  You know the length of the ramp and the angle of the ramp and therefore, need only a good approximation of the time that it takes for the car to go down the ramp (your number will be low do to friction).\n\nLet's say that these are the times that you got from 10 trials:\n\n\n9.3\n9.3\n9.9\n8.8\n9.5\n9.7\n15.4  (the car came off the track and was slowed down a lot)\n9.6\n8.9\n9.2\n\nThen you would have had a mean of 9.96\na median of  9.4 (line them up in ascending oder 8.9, 8.9, 9.2, 9.3, 9.3, 9.5, 9.6, 9.7, 9.9, 15.4 and since there is an even number of data points, take the mean of the 5th and 6th)\nand a mode of 9.3\n\nNow 15.4 is obviously a bad point.  Removing it we get:\na mean of about 9.7\na median of  9.3\nand a mode of 9.3\n\nSo only the mean really changes, this is because the mode and median are designed to get rid of "bad" data points.