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Each point on a line graph in 2-dimensional space can correspond to an ordered pair of values for two variables which is observed. Or, if it is a fitted line graph, it is an estimated ordered pair.
A bar graphA graph consisting of bars is called a bar graph. It is irrelevant whether the bars are horizontal or vertical or whether there are spaces between the bars or not.
A possible outcome is an element of the outcome space. All possible outcomes make up the outcome space.
17580
300000 ~APEX
The answer depends on the size of the graph as well as the font used.
A double bar graph has no spaces.
Each point on a line graph in 2-dimensional space can correspond to an ordered pair of values for two variables which is observed. Or, if it is a fitted line graph, it is an estimated ordered pair.
When used in the context of math, discrete refers to values where there is space on the number line between any two values. For example, the possible sums of the numbers of two dice are discrete. Temperature is not discrete. I believe that when using the term discrete that the numbers on a graph/ Row have to be redivided if possible Discrete means individually recognizable and countable, distinct and separate from the similar items, finite and non-continuous.
It can be anything you want, depending on what the graph is likely to show. If, say, the y-values only range between between 1 and 2, then you might want the tick marks on the y-axis marked every 0.1 . If you expect the y-values of the graph to vary from 1.7 to 5 million, then you can probably space the tick marks every half-million.
A bar graphA graph consisting of bars is called a bar graph. It is irrelevant whether the bars are horizontal or vertical or whether there are spaces between the bars or not.
A possible outcome is an element of the outcome space. All possible outcomes make up the outcome space.
Well nothing just space so people can see the graph easily. Don't forget ur y-axis and x-axis!
Range in space means the highest and lowest values. It is used to show a starting point and an ending point. All the area in between these points is the range.
K space refers to a space where things are in terms of momentum and frequency instead of position and time and the way you convert between real space and k-space (or Fourier space) is a mathematical transformation called the Fourier transform (and Inverse Fourier transform). This K-space also exists in classical physics. In quantum mechanics the space is made up of discrete values of K, whereas in classical physics K can take on a continuum of values.
Dictionary coders (such as LZ77) store a segment of the message in a dictionary, and then replace each occurrence with the index into the dictionary. This works very well for repeated values, or messages that use a small portion of the possible values (such as 26 letters out of the 256 possible values in a byte). However, if the data does not repeat, or uses almost all of the possible values randomly, there will be the space used for the dictionary PLUS the space used for indexes of single occurrences. This can make the message longer. In general terms, if the message entropy is too high, any lossless compression scheme will fail to compress the data.
A photograph.