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.
It can help us
NO where!
After you have your data, when you record it into the histogram, you make a graph just like a bar graph, only, this time the bars are touching! Does that make sense? Please tell me if i'm wrong!:)
comparison between histogram equalization and histogram matching?
The amount of time! :)
You use the histogram for like an experiment,like a penny lab
NO where!
It can help us
After you have your data, when you record it into the histogram, you make a graph just like a bar graph, only, this time the bars are touching! Does that make sense? Please tell me if i'm wrong!:)
A histogram
comparison between histogram equalization and histogram matching?
It is not, so the question is misinformed.
It is a histogram.
The amount of time! :)
Usually a Histogram or Bar Graph.
histogram of linegraph
Yes, you can.