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Why it is more useful to draw a graph then a table?
Though a table contains the data, it needs to be studied carefully. A graph, on the other hand, is an easier way to graphically show the same data, but in a more visually way.
are histograms related to stem-and-leaf plots?
They are related in the sense that both are visual representations of numerical data. More than that, stem-and-leaf plots are most useful when the sample size is small. The plot produced may approximate to a histogram that would be produced if more data were available. When a larger sample is available it is customary to sort the sample and then split it up into about seven groups such that the middle groups are of about equal width, and then count the number of items in each group to make a histogram. As you will discern, the two processes, one of producing a stem-and-leaf plot and the other of producing a histogram will produce more or less the same result, given a sufficiently large sample.
Which is more useful specific data or general data?
It would depend on what it was used for, an overall view or something more detailed
How can a graph of data be more information than a table of the same data?
It does not. In fact, it usually contains less information because some of the precision of the data in the table may not be easy to retrieve from the graph. However, many people (but not all) find it easier to get a summarised version of the information from a graph than from a table.
What would you do to organize your data?
We can use the method of making a table,graph or pai chart to represent our data in short form and more accurate way,,,
Why it is more useful to draw a graph then a table?
Though a table contains the data, it needs to be studied carefully. A graph, on the other hand, is an easier way to graphically show the same data, but in a more visually way.
How can a table be more informative than the graph with the same data?
A graph can be more useful for making presentations because it is more visual, and it can be easier to recognize a pattern in a graph for the same reason. However, a graph doesn't have any more data than a table with the same data.
Which class boundary choice below would cause a histogram of these data to present the appearance of a uniform distribution?
Choosing wider class boundaries would cause a histogram of the data to present the appearance of a uniform distribution. This is because the data points within each wider class would be spread out more evenly, giving the histogram a more uniform look.
What is the name of the ranges of data in a histogram?
They are often called classes butt may have more specific names.
What is the name for the ranges of data in a histogram?
They are often called classes butt may have more specific names.
What is the difference between a histogram and polygon?
1. A histogram is two-dimensional while a polygon has more than four dimensions. 2. A histogram may be drawn from a histogram by joining the mid points of upper horizontal sides of each rectangle. But a histogram can not be drawn from a polygon. 3. The frequency polygon of several distributions can be plotted on the same axis while more than one histogram can not be drawn on the same axis. 4. It is possible to compare the polygon of several distributions as they can be plotted on the same axis. But to compare histogram we must have a graph for each distribution. 5. Polygon an outline of data pattern is sketched more clearly than histogram.
Why is paleocurrent data routinely grouped together into ranges of direction is diagrams rather then showing each individual azmiuth measurement?
Its an easy way to show a summary of all of the data. A 'rose diagram' is just a circular histogram; it is much easier to interpret than a linear histogram for directional data. If you've only taken 5 measurements, then it would be easier to show the data in a table. However, if you've taken 500 (which is much more likely), then a rose diagram is much easier to interpret.
What is the difference between a data table and a ratio table?
A ratio table is more like a pattern, where a data table has graphs.
What is the difference between a ratio table and a data table?
A ratio table is more like a pattern, where a data table has graphs.
are histograms related to stem-and-leaf plots?
They are related in the sense that both are visual representations of numerical data. More than that, stem-and-leaf plots are most useful when the sample size is small. The plot produced may approximate to a histogram that would be produced if more data were available. When a larger sample is available it is customary to sort the sample and then split it up into about seven groups such that the middle groups are of about equal width, and then count the number of items in each group to make a histogram. As you will discern, the two processes, one of producing a stem-and-leaf plot and the other of producing a histogram will produce more or less the same result, given a sufficiently large sample.
When is the best time to use a histogram?
When you are unsure what to do with a large set of measurements presented in a table, you can use a Histogram to organize and display the data in a more user- friendly format. A Histogram will make it easy to see where the majority of values falls in a measurement scale, and how much variation there is. It is helpful to construct a Histogram when you want to do the following (Viewgraph 2): ! Sum m arize large data sets graphically. When you look at Viewgraph 6, you can see that a set of data presented in a table isn't easy to use. You can make it much easier to understand by summarizing it on a tally sheet (Viewgraph 7) and organizing it into a Histogram (Viewgraph 12). ! Com pare process results with specification lim its. If you add the process specification limits to your Histogram, you can determine quickly whether the current process was able to produce "good" products. Specification limits may take the form of length, weight, density, quantity of materials to be delivered, or whatever is important for the product of a given process. Viewgraph 14 shows a Histogram on which the specification limits, or "goalposts," have been superimposed. We'll look more closely at the implications of specification limits when we discuss Histogram interpretation later in this module. ! Com m unicate inform ation graphically. The team members can easily see the values which occur most frequently. When you use a Histogram to summarize large data sets, or to compare measurements to specification limits, you are employing a powerful tool for communicating information. ! Use a tool to assist in decision m aking. As you will see as we move along through this module, certain shapes, sizes, and the spread of data have meanings that can help you in investigating problems and making decisions. But always bear in mind that if the data you have in hand aren't recent, or you don't know how the data were collected, it's a waste of time trying to chart them. Measurements cannot be used for making decisions or predictions when they were produced by a process that is different from the current one, or were collected under unknown conditions.
Which is more useful specific data or general data?
It would depend on what it was used for, an overall view or something more detailed
