They are more useful when you are just looking for a range of values or intervals quickly
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.
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.
It would depend on what it was used for, an overall view or something more detailed
Analyzing large quantities of data in a big table can be overwhelming and may not always yield the best insights. While tables are useful for organizing data, more effective methods include using data visualization tools, statistical analysis, and machine learning techniques to uncover patterns and trends. These approaches can provide clearer insights and make it easier to interpret complex relationships within the data. Ultimately, the best method depends on the specific data and the questions being addressed.
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.
To determine which histogram correctly represents the data from a frequency table, you need to compare the frequencies of each category in the table to the heights of the bars in the histogram. Each bar should accurately reflect the frequency for its corresponding category. Look for the histogram that has the same distribution and relative heights as indicated in the frequency table. If you have specific data or histograms to analyze, please provide them for a more detailed comparison.
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.
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.
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.
They are often called classes butt may have more specific names.
They are often called classes butt may have more specific names.
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.
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.
A ratio table is more like a pattern, where a data table has graphs.
A ratio table is more like a pattern, where a data table has graphs.
The bin size of a histogram refers to the range of values that each bin (or interval) covers on the horizontal axis. It determines how the data is grouped and affects the histogram's appearance and interpretability. A smaller bin size can reveal more detail in the data distribution, while a larger bin size can provide a smoother overview. Choosing an appropriate bin size is crucial for accurately representing the underlying data trends.
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.