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What else can I help you with?
How do you draw frequency polygon without using histogram?
You draw a series of line segments joining the points which would be the middle of the top of each bar of the histogram.
Where would you use a histogram in real life?
NO where!
What is a bimodal histogram?
bimodal histogram is a histogram where there are two clear high points on the graph. ex.) age of people at a preschool play group. There would be preschool age and adult age. Not many teenagers or elderly. Bimodal...the ages representing preschool and adult (parents?) would stand above the rest
When would you use a histogram?
A histogram is used to analyze a distribution of data. It look like a graph and can be used in many formats - the most popular may be in Photography, showing the distribution of shadows and light in a visual representation.
Would a histogram help you interpret data?
In many cases, histograms help interpretations. But you can probably think of cases where this is not true. Perhaps you have too few values. Perhaps your data has many flaws or errors in it. Sometimes, people will select the data that they want think supports their idea, and make histograms using only this data. See related link on histogram.
How do you draw frequency polygon without using histogram?
You draw a series of line segments joining the points which would be the middle of the top of each bar of the histogram.
Would a histogram help you to data analyze data?
As a visual representation of data, then a histogram is a way of analysing data.
Where would you use a histogram in real life?
NO where!
Which type of graph would best display interval data?
A histogram
What is a bimodal histogram?
bimodal histogram is a histogram where there are two clear high points on the graph. ex.) age of people at a preschool play group. There would be preschool age and adult age. Not many teenagers or elderly. Bimodal...the ages representing preschool and adult (parents?) would stand above the rest
Explain why the discrete histogram equalization technique does not generally yield a flat histogram?
All that histogram equalization does is remap histogram components on the intensity scale. To obtain a uniform (­at) histogram would require in general that pixel intensities be actually redistributed so that there are L groups of n=L pixels with the same intensity, where L is the number of allowed discrete intensity levels and n is the total number of pixels in the input image. The histogram equalization method has no provisions for this type of (arti®cial) redistribution process.
Do bar graphs and picture graphs show a pattern over time?
No. That would be a histogram.
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.
When would you use a histogram?
A histogram is used to analyze a distribution of data. It look like a graph and can be used in many formats - the most popular may be in Photography, showing the distribution of shadows and light in a visual representation.
Would a histogram help you interpret data?
In many cases, histograms help interpretations. But you can probably think of cases where this is not true. Perhaps you have too few values. Perhaps your data has many flaws or errors in it. Sometimes, people will select the data that they want think supports their idea, and make histograms using only this data. See related link on histogram.
Why would you create a frequency table before creating a histogram?
Creating a frequency table before constructing a histogram helps organize and summarize the data, allowing for a clearer understanding of its distribution. The frequency table outlines the number of occurrences for each data category or interval, making it easier to determine the appropriate bin sizes and ranges for the histogram. This preparatory step ensures that the histogram accurately reflects the data's characteristics and highlights trends or patterns effectively.
What commands would stop the analyzed daemon?
skanalyzed 1
